My GeoServer WFSThis is a description of your Web Feature Server. The GeoServer is a full transactional Web Feature Server, you may wish to limit GeoServer to a Basic service level to prevent modificaiton of your geographic data.WFSWMSGEOSERVERWFS2.0.0NONENONE1.0.01.1.02.0.0text/xmlServiceIdentificationServiceProviderOperationsMetadataFeatureTypeListFilter_Capabilitiesapplication/gml+xml; version=3.2resultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvgml3gml32jsontext/csvtext/javascripttext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalFALSE1000000nonelocalapplication/gml+xml; version=3.2urn:ogc:def:queryLanguage:OGC-WFS::WFSQueryExpressionALLSOMEresultshitsapplication/gml+xml; version=3.2GML2KMLSHAPE-ZIPapplication/jsonapplication/vnd.google-earth.kml xmlapplication/vnd.google-earth.kml+xmlcsvgml3gml32jsontext/csvtext/javascripttext/xml; subtype=gml/2.1.2text/xml; subtype=gml/3.1.1text/xml; subtype=gml/3.2nonelocalapplication/gml+xml; version=3.2ALLSOMETRUETRUETRUETRUETRUETRUEFALSEFALSETRUETRUETRUETRUEFALSETRUEFALSEwfs:Querywfs:StoredQuerygeonode:dar_urban_greening_project_openspaces31aae75a18d3The survey was conducted by 20 university students who collaborated with community members to collect this data sets. Data collection covered 15 sampled areas in Dar es salaam city, representing six settlement characteristics i.e residential (planned and unplanned), Planned and unplanned residential were further divided into high, medium, and low population density categories.AOIdar_urban_greening_project_openspaces31aae75a18d3urban greeningfeaturesurn:ogc:def:crs:EPSG::432639.161123 -6.93220639139.35060129 -6.752457487geonode:urban_green_2022_boreholesUrban green boreholes were collected using a survey by 20 university students who collaborated with community members to collect data sets. Data collection covered 15 sampled areas in Dar es salaam city, representing six settlement characteristics i.e residential (planned and unplanned), Planned and unplanned residential were further divided into high, medium, and low population density categories.urban_green_2022_boreholesurban greeningboreholesfeaturesurn:ogc:def:crs:EPSG::432639.16131042 -6.9309529739.25613219 -6.755708404geonode:urban_greening_buildings_polygonThe survey was conducted by 20 university students who collaborated with community members to collect this data sets. Data collection covered 15 sampled areas in Dar es salaam city, representing six settlement characteristics i.e residential (planned and unplanned), Planned and unplanned residential were further divided into high, medium, and low population density categories.buildingsurban greeningurban_greening_buildings_polygonfeaturesurn:ogc:def:crs:EPSG::432639.16110729777671 -6.93277839446858239.3510236977032 -6.752047594688185geonode:urban_greening_highwaysThe survey was conducted by 20 university students who collaborated with community members to collect this data sets. Data collection covered 15 sampled areas in Dar es salaam city, representing six settlement characteristics i.e residential (planned and unplanned), Planned and unplanned residential were further divided into high, medium, and low population density categories.highwaysurban greeningurban_greening_highwaysfeaturesurn:ogc:def:crs:EPSG::432639.1607725 -6.93276287440556839.351003247950324 -6.7519266geonode:urban_green_2022_natural_drainagegpkg_walThe survey was conducted by 20 university students who collaborated with community members to collect this data sets. Data collection covered 15 sampled areas in Dar es salaam city, representing six settlement characteristics i.e residential (planned and unplanned), Planned and unplanned residential were further divided into high, medium, and low population density categories.urban_green_2022_natural_drainagegpkg_walnatural drainageurban greeningfeaturesurn:ogc:def:crs:EPSG::432639.23892187220915 -6.84075460304722339.24227625131607 -6.839748445611456geonode:dar_urban_greening_project_openspacesThe survey was conducted by 20 university students who collaborated with community members to collect this data sets. Data collection covered 15 sampled areas in Dar es salaam city, representing six settlement characteristics i.e residential (planned and unplanned), Planned and unplanned residential were further divided into high, medium, and low population density categories.featuresurban greeningdar_urban_greening_project_openspacesopen spacesurn:ogc:def:crs:EPSG::432639.161123 -6.93220639139.35060129 -6.752457487geonode:dar_urban_greening_project_solid_wasteThe survey was conducted by 20 university students who collaborated with community members to collect this data sets. Data collection covered 15 sampled areas in Dar es salaam city, representing six settlement characteristics i.e residential (planned and unplanned), Planned and unplanned residential were further divided into high, medium, and low population density categories.solid wasteurban greeningfeaturesdar_urban_greening_project_solid_wasteurn:ogc:def:crs:EPSG::432639.1652154 -6.849417139.23938944 -6.754483819geonode:dar_urban_greening_project_openspacese4a5e33a6984The survey was conducted by 20 university students who collaborated with community members to collect this data sets. Data collection covered 15 sampled areas in Dar es salaam city, representing six settlement characteristics i.e residential (planned and unplanned), Planned and unplanned residential were further divided into high, medium, and low population density categories.featuresdar_urban_greening_project_openspacese4a5e33a6984urn:ogc:def:crs:EPSG::432639.161123 -6.93220639139.35060129 -6.752457487geonode:dar_es_salaam_administrative_districtsDistricts/municipalities of Dar es Salaam. Districts corresponds to administrative level 2 in the Global Administrative database (GADM). Districts covers a certain number of households, which means the number of districts increase when the population of certain area increases. Currently there are five (5) districts in the region of Dar es Salaam, listed from west to east: Kinondoni, Ubungo, Ilala, Temeke and Kigamboni. The most recent districts - Ubungo and Kigamboni - were established in 2016 due to population increase. This data set is originated from the Tanzania National Bureau of Statistics and is shared in Climate Risk Database for reference purposes. Download full data set of districts in Tanzania from: https://www.nbs.go.tz/index.php/en/census-surveys/gis/568-tanzania-districts-shapefiles-2019.dar_es_salaam_administrative_districtsadministrative boundariesfeaturesurn:ogc:def:crs:EPSG::432639.0071592382959 -7.18149083515737139.55376584046384 -6.56620696403837geonode:dar_es_salaam_administrative_regionAdministrative boundaries of the Dar es Salaam region. Region corresponds to administrative level 1 in the Global Administrative database (GADM). This layer has been produced by Tanzania National Bureau of Statistics.administrativedar_es_salaam_administrative_regionfeaturesborderurn:ogc:def:crs:EPSG::432639.0071592382959 -7.18149083815712239.553765922465416 -6.566206931041475geonode:dar_es_salaam_administrative_subwardsSub-wards (Mtaa in Swahii) in Dar es Salaam are small administrative areas. There are now 478 sub-wards in Dar es Salaam. Ramani Huria team mapped and added the 15 newest sub-wards to this data set. Sub-wards corresponds to administrative level 4 in Global Administrative database (GADM).featuresdar_es_salaam_administrative_subwardsadministrative boundariesurn:ogc:def:crs:EPSG::432639.0071592382959 -7.18149083815712339.553765922465416 -6.566206931041475geonode:dar_es_salaam_administrative_wards715f5b45aeafWards (Kata in Swahili) are administrative regions in Dar es Salaam. Wards corresponds to administrative level 3 in Global Administrative (GADM) database of high-resolution administrative areas. Original data is provided by the Tanzania National Bureau of Statistics from the year 2012. Five new wards of Bonyokwa, Kisukuru, Liwiti, Mnyamani and Pugu Station were mapped by the Ramani Huria team and added to this data set in 2018.featuresdar_es_salaam_administrative_wards715f5b45aeafadministrative boundariesurn:ogc:def:crs:EPSG::432639.00715923800004 -7.18149083799994539.553765922000025 -6.566206930999954geonode:dar_es_salaam_brt_routes_039f2af0d5edcdad6c1811f21165f4adThis dataset contains the Bus Rapid Transit route (phase 1) of Dar es Salaam. The Dar Rapid Transit (DART) is a mass transit system that connects the suburbs to the central business district. This dataset was collected by the Ramani Huria team in year 2018. Note: the dataset of BRT stops is also downloadable from Climate Risk Database.DARTfeaturesBus Rapid Transitdar_es_salaam_brt_routes_039f2af0d5edcdad6c1811f21165f4adBRTpublic transportationurn:ogc:def:crs:EPSG::432639.183274 -6.826430839.2989248 -6.7774908geonode:dar_es_salaam_brt_stopsThis dataset contains the 34 stops of Bus Rapid Transit route in the city of Dar es Salaam. The major stops are Jangwani, Kimara, Morocco, Gerezani, and Kivukoni. This dataset was collected by Ramani Huria team in the year 2018. Note: the dataset of BRT route is also downloadable from Climate Risk Database.DARTpublic transportationfeaturesdar_es_salaam_brt_stopsBRTBus Rapid Transiturn:ogc:def:crs:EPSG::432639.1866543 -6.826189439.2986187 -6.7777287geonode:dar_es_salaam_business_areasAreas in Dar es Salaam whose predominant feature is commercial purposes including offices, social facilities, financial services such as banks, atm, bureau de change, mobile money, etc.tourismfeaturesofficeamenitydar_es_salaam_business_areasshopurn:ogc:def:crs:EPSG::432639.0547113 -6.935100339.3508568 -6.6406581geonode:dar_es_salaam_business_locationsAreas in Dar es Salaam whose predominant feature is commercial purposes including offices, social facilities, financial services such as banks, atm, bureau de change, mobile money, etc.dar_es_salaam_business_locationstourismofficeamenityfeaturesshopurn:ogc:def:crs:EPSG::432639.1215932 -6.901174139.2811657 -6.7043433geonode:dar_es_salaam_catchmentsRiver catchments in Dar es Salaam generated from the HYDROSheds dataset (3 second conditioned DEM) https://hydrosheds.cr.usgs.gov/ . Used for the Msimbazi Charrette project.catchmentsfeatureshydrologywatersheddar_es_salaam_catchmentsurn:ogc:def:crs:EPSG::432638.987418958000035 -6.9721968239999839.28158562400006 -6.723863490999975geonode:dar_es_salaam_drain_pointsDrainage data of 31 out of 44 wards of the city (ongoing process). Drain points and segments traced by using ODK Collect application.drainfloodDrainagefeaturesdar_es_salaam_drain_pointsurn:ogc:def:crs:EPSG::432639.11234038626353 -6.89698458863911139.28666 -6.624401888812985geonode:dar_es_salaam_drain_segmentsDrainage data of 31 out of 44 wards of the city (ongoing process). Drain points and segments traced by using ODK Collect application.drainfloodDrainagedar_es_salaam_drain_segmentsfeaturesurn:ogc:def:crs:EPSG::432639.11234038626353 -6.89698458863911139.286665 -6.624401888812985geonode:dar_es_salaam_education_facilities_locations0Educational facilities in Dar es Salaam including kindergarten, primary and secondary school, college and universities that provide education services.educationuniversitykindergartenfeaturesschoolamenitiesdar_es_salaam_education_facilities_locations0exposureurn:ogc:def:crs:EPSG::432639.0671911 -6.94025939.3163149 -6.6336846geonode:dar_es_salaam_flood_scenario_25___200_cmThis layer represents flood scenario for 25 to 200 centimeters in the Dar es Salaam region. Flood scenario has been produced from the Dar es Salaam Digital Terrain Model, 5cm 2017, and thus it's accuracy is dependent on the quality of that DTM dataset. The scenario covers the shoreline, too, but since river flooding is the main cause of flooding in Dar es Salaam, the coastline scenarios are irrelevant. This dataset was created by the winning group of 2020 Visualisation challenge in University of Turku.flood scenariofeaturesdar_es_salaam_flood_scenario_25___200_cmwinnerUTUvisualisation challengeurn:ogc:def:crs:EPSG::3273739.09579089862734 -6.962512443659206539.47459660263135 -6.598532547701874geonode:dar_es_salaam_government_polygonOffices that are operated by the government including national, regional or local government agency or department in Dar es Salaam which can be used to indicate all branches of government i.e. executive, legislative, and judiciary carrying out tasks such as administering facilities, operate registries and licensing bureaus, regulate lands and/or people, etc.featuresdar_es_salaam_government_polygonurn:ogc:def:crs:EPSG::432639.1030007 -6.914286539.3001779 -6.7430103geonode:dar_es_salaam_government_pointsOffices that are operated by the government including national, regional or local government agency or department in Dar es Salaam which can be used to indicate all branches of government i.e. executive, legislative, and judiciary carrying out tasks such as administering facilities, operate registries and licensing bureaus, regulate lands and/or people, etc.featuresdar_es_salaam_government_pointsurn:ogc:def:crs:EPSG::432639.0728248 -6.914260639.2983598 -6.6609069geonode:dar_es_salaam_historical_flood_depthsThis dataset comprises of flood depth history experienced by the local people living in Dar es Salaam's most flood-prone areas during rainy seasons. More specifically, the local residents were surveyed in eleven wards located nearby the Msimbazi river and river streams. Historical records consists of the years of flood occurence, flood depth, reasons for flooding, types of buildings affected and whether residents moved from the area or not. The aim was to collect a comprehensive data set about people's experiences and whether they were affected by floodings in previous years or not. Data was collected by Ramani Huria project, hosted by Humanitarian OpenStreetMap Team (HOT). Local residents were interviewed with a structured survey and their answers were recorded with the coordinate information of their homes. ODK Collect toolkit was used as the collection tool.dar_es_salaam_historical_flood_depthsflood experiencehazardflood depthfloodfeaturesurn:ogc:def:crs:EPSG::432639.23142273 -6.835138339.27407872 -6.7907416667geonode:dar_es_salaam_historical_flood_extentThe dataset comprises of flood history (years of flood occurence), flood depth, reasons for flooding, types of buildings, uses, whether residents were evacuated or not. All data points were collected by using ODK Collect.Flood historyflood experiencedar_es_salaam_historical_flood_extenthazardflood depthFlood extentFlood mitigationsurveyfloodfeaturesurn:ogc:def:crs:EPSG::432639.23025374 -6.8381139.28173 -6.7818033333geonode:dar_es_salaam_hospital_polygonHealth care institutions in Dar es Salaam providing in-patient medical treatment by specialised staff and equipment, and typically providing nursing care for longer-term patient stays.dispensingfeaturesemergencyamenitiesdar_es_salaam_hospital_polygonancillaryhealth careurn:ogc:def:crs:EPSG::432639.1182756 -6.903414939.2888625 -6.7281369geonode:dar_es_salaam_hospital_pointsHealth care institutions in Dar es Salaam providing in-patient medical treatment by specialised staff and equipment, and typically providing nursing care for longer-term patient stays.dar_es_salaam_hospital_pointsmedicineamenitiespharmaciesfeaturesurn:ogc:def:crs:EPSG::432639.0854073 -6.914279139.2961939 -6.6530096geonode:dar_es_salaam_hydro_met_stationsThis layer contains the locations of hydro-meteorological TAHMO stations (ATMOS-41), Sommer RQ-30 Sensor and Ijinus Ultra-SonicWater level Sensors in Tanzania. Each station collects data at 5min resolution/month for twelve parameters (including: rainfall, wind speed, wind gusts, wind direction, solar radiation, atmospheric pressure, temperature, and relative humidity). This dataset only provides the station locations and date of first measurement. The data itself is free to use in research purposes, and can be accessed through the dashboard: https://portal.tahmo.org/portal/map. Accessing the data requires Gmail registration via emailing info@tahmo.fi - see FAQ on the TAHMO webpage: https://tahmo.org/.featuresdar_es_salaam_hydro_met_stationsurn:ogc:def:crs:EPSG::432632.747035 -6.910763339.2661084 -2.43833geonode:dar_es_salaam_hyperlocal_boundariesDetailed hyperlocal boundary mapping (the most granular administrative level in Tanzania) in 31 wards of the city by tracing polygons using ODK Collect application. Hyperlocal boundaries are divisions within subwards regarded as political boundaries previously referred to as ten cell divisions as they were originally comprised of ten households. Due to the increase in population, they comprise of 30 to 200 households and are administered by local leaders (wajumbe). Wajumbe are increasingly functioning as non-partisan public servants, often the first━in most cases━point of interaction between the government and citizens. The data can be used to easily reach or access people's addresses.administrative areasHyperlocal boundariesdar_es_salaam_hyperlocal_boundariesfeatures'shinas''mjumbe'urn:ogc:def:crs:EPSG::432639.08807736961261 -6.96121070723627939.30070990521081 -6.765797552988738geonode:dar_es_salaam_hyperlocal_boundaries174899b7e91fDetailed hyperlocal boundary mapping (the most granular administrative level in Tanzania) in 31 wards of the city by tracing polygons using ODK Collect application. Hyperlocal boundaries are divisions within subwards regarded as political boundaries previously referred to as ten cell divisions as they were originally comprised of ten households. Due to the increase in population, they comprise of 30 to 200 households and are administered by local leaders (wajumbe). Wajumbe are increasingly functioning as non-partisan public servants, often the first━in most cases━point of interaction between the government and citizens. The data can be used to easily reach or access people's addresses.'shinas''mjumbe'Hyperlocal boundariesfeaturesadministrative areasdar_es_salaam_hyperlocal_boundaries174899b7e91furn:ogc:def:crs:EPSG::385739.088077369851966 -6.96121070738018239.30070990555009 -6.765797552968433geonode:dar_es_salaam_inundated_buildingsInundation data of several Wards in Dar es Salaam, collected by the Ramani Huria project. Data represents experiences of local inhabitants who were interviewed whether their residence had been inundated or not. The inundation records are from multiple different flooding events over several years. Critical facilities have been mapped, too.flood experiencefloodingfeaturesinundationdar_es_salaam_inundated_buildingsurn:ogc:def:crs:EPSG::432639.18929059784765 -6.86569989502013139.288261397855 -6.732785095132051geonode:dar_landuselandcoverLand use and land cover map of Dar es Salaam from the year 2010.featuresland coverdar_landuselandcoverland useurn:ogc:def:crs:EPSG::6210-49.48839442739898 -6.475390795251861E-5-49.48838953045108 -5.920390774207731E-5geonode:dar_es_salaam_river_channelsThe dataset was derived from the digital terrrain model (DTM) produced by COWI. The process involved classification of the flow accumulation grid derived from the DTM using ArcHydro tools in ArcGIS. The raster dataset has been converted into a vector layer. Layer only display the mian watercouses after the small modelled watercouses were filter out. By JBA Consulting.dar_es_salaam_river_channelsfeaturesgeomorphologyenvironmentriver channelsurn:ogc:def:crs:EPSG::3273738.95097646408514 -7.188389088125747539.54688140364401 -6.568080408448569geonode:dar_es_salaam_office_pointsAreas in Dar es Salaam that predominatly provide services, frequently selling them ranging from obvious services such as accountants and lawyers to forestry or NGO office.featuresdar_es_salaam_office_pointsurn:ogc:def:crs:EPSG::432639.0728248 -6.915411439.3118378 -6.6609069geonode:dar_es_salaam_office_polygonsAreas in Dar es Salaam that predominatly provide services, frequently selling them ranging from obvious services such as accountants and lawyers to forestry or NGO office.featuresdar_es_salaam_office_polygonsurn:ogc:def:crs:EPSG::432639.097757 -6.914286539.3001779 -6.7430103geonode:dar_es_salaam_open_areasDar es Salaam Open Areas layer contains polygons of undeveloped pieces of land in Dar es Salaam including brownfields, cemetery, dump, farmland, farmyard, forest, grass, greenfield, meadow, wetland etc. but are accessible to the public. This data set has been collected during the Ramani Huria project in Dar es Salaam. Features of the data set follows OpenStreetMap guidelines (https://wiki.openstreetmap.org/wiki/Landuse).dar_es_salaam_open_areasfeaturesopen areasland useurn:ogc:def:crs:EPSG::432639.1035304 -6.999607439.5243562 -6.6596075geonode:dar_es_salaam_pharmacyShops in Dar es Salaam also referred to as drugstores that sell medications as regulated and licensed by the government.dispensingdar_es_salaam_pharmacyancillaryamenitiesemergencyfeatureshealth careurn:ogc:def:crs:EPSG::432639.0619936 -6.917412439.2954718 -6.6615593geonode:dar_es_salaam_public_toilets_polygonToilets in Dar es Salaam provided and maintained by the public authorities available for the general public to use usually should be suitable to be used with a wheelchair and a person with a disability who uses another mobility device (like a walker).featuresdar_es_salaam_public_toilets_polygonurn:ogc:def:crs:EPSG::432639.0888066 -6.898246439.2860373 -6.7613156geonode:dar_es_salaam_public_toilets_pointsToilets in Dar es Salaam provided and maintained by the public authorities available for the general public to use usually should be suitable to be used with a wheelchair and a person with a disability who uses another mobility device (like a walker).featuresdar_es_salaam_public_toilets_pointsurn:ogc:def:crs:EPSG::432639.1911847 -6.940741139.5051137 -6.6946697geonode:dar_es_salaam_public_transportation_routesThis dataset contains routes of public transportation (dala dala) routes in Dar es Salaam.bus routesdar_es_salaam_public_transportation_routespublic transportationfeaturesurn:ogc:def:crs:EPSG::432639.04697107581713 -7.03066675480455739.45569682866766 -6.577853136993972geonode:dar_es_salaam_public_transportation_stopsThis dataset contains bus stops along the Dar es Salaam public transportation route. Dataset covers 49 wards (out of 95) in Dar es Salaam and it was collected by Ramani Huria team. Stops were uploaded to OpenStreetMap as well. Note: the dataset of public transportation route is also downloadable from Climate Risk Database.Bus stopsdar_es_salaam_public_transportation_stopspublic transportationfeaturesurn:ogc:def:crs:EPSG::432639.1320713 -6.886615639.3767934 -6.7007798geonode:dar_es_salaam_public_water_pointsPublic water points in Dar es Salaam where one can obtain potable water for consumption including water taps, water wells and water points that are accessed by the general publicpumpdar_es_salaam_public_water_pointsfeaturesdrinking waterpublic wateramenityurn:ogc:def:crs:EPSG::432639.1156268 -6.914881539.2882895 -6.7680554geonode:dar_es_salaam_religious_institution_polygonPlaces of worship in Dar es Salaam covering assortments of community facilities such as churches, mosque, temples and confession schools. The religious institutions are classified according to religion that is Christian, Muslim, Buddha etc. they are further classified according to their denominations such as Roman Catholic, Pentecostal, Lutheran, Anglican, Shia, Sunni etc.denominationfeaturesreligiondar_es_salaam_religious_institution_polygonmosquechurchtempleamenityurn:ogc:def:crs:EPSG::432639.0648846 -6.940055339.3316169 -6.6427373geonode:dar_es_salaam_religious_institution_pointsdd77e5cf868cPlaces of worship in Dar es Salaam covering assortments of community facilities such as churches, mosque, temples and confession schools. The religious institutions are classified according to religion that is Christian, Muslim, Buddha etc. they are further classified according to their denominations such as Roman Catholic, Pentecostal, Lutheran, Anglican, Shia, Sunni etc.amenitytemplefeaturesmosquereligionchurchdenominationdar_es_salaam_religious_institution_pointsdd77e5cf868curn:ogc:def:crs:EPSG::432639.0226415 -6.971147639.3113148 -6.6516709geonode:dar_es_salaam_shops_polygonAreas selling retail products in Dar es Salaam which may range from the obvious shops such as supermarkets and places to buy food to video rental and car dealerships and to places offering some kind of retail service such as paying electricity bills, high street solicitors or travel agencies.retaildar_es_salaam_shops_polygonshopsamenityfeaturesurn:ogc:def:crs:EPSG::432639.0547113 -6.932862539.2929948 -6.7091983geonode:dar_es_salaam_education_facilities_locations01563b83e4182Areas selling retail products in Dar es Salaam which may range from the obvious shops such as supermarkets and places to buy food to video rental and car dealerships and to places offering some kind of retail service such as paying electricity bills, high street solicitors or travel agencies. Shops are commercial areas that provide different services. They may include hairdresser, kiosk, bakery, green grocer, convenience store, stationery, etc.dar_es_salaam_education_facilities_locations01563b83e4182retailamenityfeaturesshopurn:ogc:def:crs:EPSG::432639.0671911 -6.94025939.3163149 -6.6336846geonode:dar_es_salaam_river_basinsThe dataset was derived from the digital terrrain model (DTM) produced by COWI. The process involved classification of the flow accumulation grid derived from the DTM using ArcHydro tools in ArcGIS. The raster dataset has been converted into a vector layer. By JBA Consulting.featuresdar_es_salaam_river_basinsurn:ogc:def:crs:EPSG::3273738.93238375884063 -7.203677873821388539.55179067102961 -6.549079072168119geonode:dar_es_salaam_riversRivers in Dar es Salaam were delineated based on catchment analyses and corrected using Google Earth imagery. Used for the Msimbazi Charrette project.featuresdar_es_salaam_riversurn:ogc:def:crs:EPSG::432639.008668958000044 -6.9488634909999439.28158562400006 -6.72678015799994geonode:dar_es_salaam_roads_442d5ed5bfa4522c77d3303f1a2ddef8Highway data of all the roads in Dar es Salaam classified according to trunk, primary, secondary, tertiary, residential, unclassified and footpath with names (formal and informal) and width. This data set is originated from OpenStreetMap database, curated and modified by HOT. *** NOTE: The whole data set is large, we recommend downloading only parts of it, if possible.highwaystreetsfeaturesroadnetworkroaddar_es_salaam_roads_442d5ed5bfa4522c77d3303f1a2ddef8pathsurn:ogc:def:crs:EPSG::432638.9708168 -7.403892239.5507216 -6.5755392geonode:dar_es_salaam_roadsThe data was collected to provide updates on all roads in Dar es Salaam for 2022.dar_es_salaam_roadsroadsfeaturesurn:ogc:def:crs:EPSG::432638.9708168 -7.403892239.5507216 -6.5755392geonode:dar_es_salaam_soil_sediment_samplingThe dataset is based on 731 soil sample points created in ArcGIS using a 2km by 2km regular grid on the whole of Dar es Salaam's catchment area. Each sample point with a unique code to identify it. The surface soil dataset for the greater Dar es Salaam region of Tanzania. This was intended to support a geomorphological assessment taking into account soil characteristics for erosion and flood risk studies. A national-level soil profile had existed for Tanzania prior to this effort, but contained only a single sample from Dar es Salaam. This was not sufficient to analyse erosion potential across the city. A 2km grid was used which resulted in 731 sampling points being pre-established throughout the city.Soil samplingdar_es_salaam_soil_sediment_samplingflood riskssoilsievingfeaturesgeomorphological assessmentcatchment areaurn:ogc:def:crs:EPSG::432638.91432 -7.1972339.5450133333 -6.5583533333geonode:dar_es_salaam_tourism_pointsAreas in Dar es Salaam that provide information and support to tourists. These include hotel, motel, guest house, hostel, museum, campsite, gallery, picnic site and view points.featuresdar_es_salaam_tourism_pointsurn:ogc:def:crs:EPSG::432639.0406632 -7.01667839.5475482 -6.6549451geonode:dar_es_salaam_tree_mappingThis dataset was collected by University students from UDSM and ARU during the Resilience Academy Industrial Training 2020 period. Mapping was overseen by OMDTZ and Greenstand.environmentdar_es_salaam_tree_mappingnaturaltreestree speciesfeaturesurn:ogc:def:crs:EPSG::432639.20992666666667 -6.8139.27 -6.78595014geonode:dar_es_salaam_tree_mapping_pilotThis data set contains 556 mapped trees in the area of Mikocheni ward in Dar es Salaam. Points representing trees has attribute values of e.g. tree species, tree health and type of threath threathening the tree. This data set is a pilot mapping project where an efficient and high-quality metodology for mapping urban trees was created and tested. In later phases of the project mapping of the trees is broadened to a subward level in Dar es Salaam. The project is conducted by the World Bank, OpenMap Development Tanzania (OMDTZ) and Greenstand.featuresdar_es_salaam_tree_mapping_piloturn:ogc:def:crs:EPSG::432639.25206974 -6.77869539.26443167 -6.763203333geonode:dar_es_salaam_waste_sitesData points of areas with poorly managed solid waste. The map includes the size of waste material, type of waste material and suggested cleanup methods.trashenvironmentfeaturestrash sizeEPSG:4326solid wastedar_es_salaam_waste_sitesurn:ogc:def:crs:EPSG::432639.043721 -6.9368667439.3253351714691 -6.62841535714286geonode:existing_building_as_received_from_clientExisting Building As Received from Client dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.ExistingfeaturesfrombuildingsAsexisting_building_as_received_from_clientReceivedClienturn:ogc:def:crs:EPSG::2103632.862181012853874 -2.64829211328230133.03082447200341 -2.4409745729351267geonode:existing_water_supply_pump_stationd5e5250fc378Existing Water Supply Pump Station dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.PumpfeaturesStationwaterSupplyexisting_water_supply_pump_stationd5e5250fc378Existingurn:ogc:def:crs:EPSG::2103632.88576127973253 -2.585346155215117633.02836332699394 -2.4882633229411684geonode:kahama_drain_pointsThis dataset will contains information about locations of drain points of interest in Kahama. These points will identify various features found within drainage system such as blockages, damaged points, exits, outflows, and others. This dataset will be produced under the Tanzania Urban Resilience Program in Kahama and Kigoma The assignment shall build on previous knowledge of community mapping and open-source digital spatial data collection acquainted with TURP, and in doing so build digital skills and create job opportunities for the students. This dataset will cover Kahama Mjini, Majengo and parts of the Malunga, Nyahanga, Nyihogo, Nyasubi and Mhongolo in Kahama .Drainagefeatureskahama_drain_pointsUrban Infranstructureurn:ogc:def:crs:EPSG::432632.57156987 -3.85621126213019232.63436944607989 -3.787178434723452geonode:kigoma_elevation_points_c8f6a83c02e171fc81f0c9a6014dc5f0This dataset will contains information about locations of drain points of interest in Kahama and Kigoma. These points will identify various features found within drainage system such as blockagees, damaged points, exit, outflow and others. This dataset will be produced under the Tanzania Urban Resilience Program in Kahama and Kigoma The assignment shall build on previous knowledge on community mapping and open-source digital spatial data collection acquainted in TURP, and in doing so building digital skills and creating job opportunities for the students. This dataset will cover Kahama Mjini, Majengo and parts of the Malunga, Nyahanga, Nyihogo, Nyasubi and Mhongolo in KahamaelevationfeaturesDrainageEPSG:4326urban infrastructurekigoma_elevation_points_c8f6a83c02e171fc81f0c9a6014dc5f0urn:ogc:def:crs:EPSG::432629.6208670024909 -4.9215677264480529.697597952819 -4.86478023751744geonode:kahama_drain_segmentsThis dataset contains information about locations of drain points of interest in Kahama. These points will identify various features found within the drainage system such as blockages, damaged points, exits, outflows, and others. This dataset will be produced under the Tanzania Urban Resilience Program in Kahama and Kigoma The assignment shall build on previous knowledge of community mapping and open-source digital spatial data collection acquainted with TURP, and in doing so build digital skills and create job opportunities for the students. This dataset will cover Kahama Mjini, Majengo and parts of the Malunga, Nyahanga, Nyihogo, Nyasubi and Mhongolo in Kahama .Drainagefeatureskahama_drain_segmentsurn:ogc:def:crs:EPSG::432632.57156987 -3.85621126213019232.63437722700321 -3.787178434723452geonode:kigoma_drain_points"This dataset will contains information about locations of drain points of interest in Kahama and Kigoma. These points will identify various features found within drainage system such as blockagees, damaged points, exit, outflow and others. This dataset will be produced under the Tanzania Urban Resilience Program in Kahama and Kigoma The assignment shall build on previous knowledge on community mapping and open-source digital spatial data collection acquainted in TURP, and in doing so building digital skills and creating job opportunities for the students. This dataset will cover Machinjioni, Kasimbu, Rubuga, Kasingirima, Majengo, Kitongoni, Kipampa, Rusimbi, Buzebazeba, Mwanga Kusini, Kigoma, Mwanga Kaskazini, Katubuka and parts of Kagera ward in Kigoma."infrastructurekigoma_drain_pointsfeaturesDrainageurn:ogc:def:crs:EPSG::432629.62086215981896 -4.92156772644805429.69759795281905 -4.864498586574744geonode:kinondoni_flood_experienceThis data set contains information whether or not a household has experienced flooding in the are of Kinondoni district. If the household has experienced flooding, also the information of whether they had to move from their home was recorded. This data set was collected in the Ramani Huria mapping project hosted by Humanitarian OpenStreetMap Team (HOT) in 2017 and 2018 by surveying local residents. . This data set is part of the Dar es Salaam Historical Flood Experience data set. Part of the data covering Kinondoni district was extracted to enhance the GIS analysis processings since the original whole data is very large.floodhazardFlood mitigationflood experiencefeatureskinondoni_flood_experienceurn:ogc:def:crs:EPSG::432639.23521566 -6.819619639.27246 -6.7869736geonode:output_19017_hazard_map_mean_24306de437f136381Seismic Hazard Map showing mean Peak Ground Acceleration (PGA) in g for a 10% probability of exceedence in 50 years for the country of Tanzania. This layer was uploaded as part of the METEOR Project, please see http://meteor-project.org/ for details. If you find this data useful, please please provide feedback via our questionnaire, it should take only a few minutes: https://forms.gle/DQjhE89CRegNKB3X8 This map was produced using the GEM OpenQuake engine using the SSAHARA model produced, please see https://hazard.openquake.org/gem/models/SSA/ for further details. Cite this work as: Poggi, V., Durrheim, R., Mavonga Tuluka, G., Weatherill, G., Gee, R., Pagani, M., Nyblade, A., Delvaux, D., 2017. Assessing Seismic Hazard of the East African Rift: a pilot study from GEM and AfricaArray. Bulletin of Earthquake Engineering. Volume 15, Issue 11, 4499–4529, DOI: 10.1007/s10518-017-0152-4 © 2021 GEM Foundation and the METEOR Project Consortium.METEORhazardfeaturesoutput_19017_hazard_map_mean_24306de437f136381earthquakeurn:ogc:def:crs:EPSG::432629.34517 -11.7281240.43317 -1.00012geonode:morogoro_drain_points_f02d30ec5bbb013a6242b4e29221fa62This dataset contains information about the elevation of drain points of interest in Morogoro. This dataset was produced under the Tanzania Urban Resilience Program. The assignment shall build on previous knowledge on community mapping and open-source digital spatial data collection acquainted in TURP, and in doing so building digital skills and creating job opportunities for the students.urban infrastructureDrainagemorogoro_drain_points_f02d30ec5bbb013a6242b4e29221fa62featuresurn:ogc:def:crs:EPSG::432637.62601208165365 -6.85860467166666537.71545253833334 -6.770783814334636geonode:morogoro_drain_pointsThis dataset contains information about the elevation of drain points of interest in Morogoro. This dataset was produced under the Tanzania Urban Resilience Program. The assignment shall build on previous knowledge on community mapping and open-source digital spatial data collection acquainted in TURP, and in doing so building digital skills and creating job opportunities for the students.urban infrastructureDrainagefeaturesmorogoro_drain_pointsurn:ogc:def:crs:EPSG::432637.62601208165365 -6.85860467166666537.71545253833334 -6.770783814334636geonode:morogoro_drain_segmentsThis dataset contains information about locations of drain segments in Morogoro, This data was obtained from a field surveys in some of the Morogoro municipality wards. The dataset was produced under the Tanzania Urban Resilience Program in Morogoro. The assignment built on previous knowledge on community mapping and open-source digital spatial data collection acquainted in TURP, and in doing so building digital skills and creating job opportunities for the students.morogoro_drain_segmentsfeaturesMorogoro_drain_segmentsurn:ogc:def:crs:EPSG::432637.62601208165365 -6.85860467166666537.71545253833334 -6.770783814334636geonode:morogoro_tree_mapping_f749cf095b21d14514abfc90ed3f8f87Tree mapping was done within Mazimbu campus, Morogoro, where Students collected information and locations of total of 1269 trees. Tree mapping involves collecting data from all trees natural and planted that have diameter of 5cm or above. The dataset contains also information of tree species, whether it is indigenous or not and the diameter and height. The data was collected during Resilience Academy industrial placement 2020 by Sokoine University of Agriculture students.environmentnaturaltreesmorogoro_tree_mapping_f749cf095b21d14514abfc90ed3f8f87tree speciesfeaturesurn:ogc:def:crs:EPSG::432637.62473167 -6.79914333337.633405 -6.792005geonode:shore_msimbaziriver_surveydata_cd_february2019Reference elevation data collected with a Leica GNSS receiver base station, RTK-GNSS survey pole, and Single Bean Echo Sounding kit for the bathymetric measurements. Horizontal datum: WGS84 UTM 37S Vertical datum: WGS84 ellipsoid Processing was conducted by CDR International and Shore monitoring.elevationfeaturesEPSG:4326shore_msimbaziriver_surveydata_cd_february2019hydrologysurvey dataurn:ogc:def:crs:EPSG::3273739.25455615802744 -6.81862164460820539.28836374173562 -6.793262237284131geonode:msimbazi_charrette_boundary_20180706Boundary for the Msimbazi River Valley Planning Area, which is a pipeline project that aims to enable spatial planning within the Msimbazi River Valley and to cater for flood safety. This dataset has been initialised by the Ministry of Lands, and verified by the CDR International by fieldwork and stakeholder consultations for the purposes of Msimbazi Charrette project. Msimbazi Charette project identified the investments to be done in the Msimbazi River Valley Project in 2018.featuresMsimbazi Charrettemsimbazi_charrette_boundary_20180706urn:ogc:def:crs:EPSG::3273739.115464014293295 -6.88458132337990639.28612953296545 -6.78615554860956geonode:mtwara_final_buildingsThis building data was collected in Mtwara as part of the data collection process to support the digitization of buildings, roads, and waste accumulation sites. The data was collected through drone imagery to obtain information on the location, size, and condition of buildings in Mtwara.mtwara_final_buildingsfeaturesMtwarabuildingsTanzaniaurn:ogc:def:crs:EPSG::432640.1461388 -10.309137140.2083046 -10.2537399geonode:eo4sd_mtwara_transport_2017This data was collected as part of the comprehensive approach to understanding the baseline situation of litter management systems in Mtwara. The highway road data provided valuable information on the presence of litter and sand on the roads, the condition of the roads, and the responsible entities for road cleaning and maintenance. This data is essential for assessing the distribution of litter in the city and understanding the environmental and social impacts of litter. Additionally, highway data was collected to identify potential leakage points of waste into the environment, contributing to a more holistic understanding of the litter management challenges in Mtwara.Mtwaraeo4sd_mtwara_transport_2017featuresroadhighwayurn:ogc:def:crs:EPSG::3273740.12167005359405 -10.32231451487137840.21001328108283 -10.25425211085628geonode:mtwara_waste_collection_pointsThis data was collected as part of the data collection process to obtain information on the availability, frequency, and reliability of solid waste collection and environmental cleaning services in Mtwara.featuressolid wasteMtwaramtwara_waste_collection_pointsTanzaniaurn:ogc:def:crs:EPSG::432640.1557373475352 -10.307195295598540.1954184139549 -10.261741948705geonode:buildingsThis dataset contains information about buildings in Mwanza city. This data was created from remote digitization of building footprints using satelite imagery and participatory mapping in Nyamagana and Ilemela municipalities. This dataset was produced under the project Community Mapping Urban risks in Mwanza to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.featuresurban environmentbuildingsexposureurn:ogc:def:crs:EPSG::432632.8620827 -2.652411233.08088712628851 -2.3684468geonode:mwanza_businessesThis dataset contains information about businesses in Mwanza City. This data was obtained from field survey in Mwanza. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.exposurefeaturesmwanza_businessesshopsbusinessesurn:ogc:def:crs:EPSG::432632.8787971 -2.634009532.9739866 -2.4463882geonode:mwanza_businesses_1ee0de54004d225e705484644af28018This dataset contains information about businesses in Mwanza City. This data was obtained from field survey in Mwanza. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.featuresmwanza_businesses_1ee0de54004d225e705484644af28018shopsbusinessesexposureurn:ogc:def:crs:EPSG::432632.8787971 -2.634009532.9739866 -2.4463882geonode:mwanza_drainage_pointsThis dataset contains information about locations of drain points of interest in Mwanza city. These points identify various features found within drainage system such as blockagees, damaged points, exit, outflow and others. This data was obtained from field survey in Ilemela and Nyamagana. This dataset was produced under the Community Mapping Urban risks project in Mwanza which aims to generate up-to-date open data on drainage for flood modeling purposes. This dataset covers the Ibungilo, Ilemela, Mecco, Buzuruga, Nyamanoro, Kirumba, Kitangili, Pasiansi, Kirumba and Kawekamo for Ilemela municipality and for Nyamagana Municipality were Butimba, Mkuyuni, Mabatini, Pamba, Isamilo, Mirongo, Mbugani and Igogo. These wards were 18 in total for both municipalities. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.mwanza_drainage_pointsexposureDrainagefeaturesurban infrastructureurn:ogc:def:crs:EPSG::432632.88218822264999 -2.575482232.96732693110052 -2.443082078303363geonode:existing_ferry_routeExisting Ferry Route dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.existing_ferry_routefeaturesExistingRouteFerryurn:ogc:def:crs:EPSG::2103631.75063333707233 -2.542947267190047734.73883582131151 0.2939965805793807geonode:existing_landfill_siteExisting Landfill Site dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.LandfillfeaturesSiteExistingexisting_landfill_siteurn:ogc:def:crs:EPSG::2103632.903174145944156 -2.639335776995754432.96759095537783 -2.466904069972752geonode:existing_road_centrelineExisting Road Centreline dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresExistingroadexisting_road_centrelineCentrelineurn:ogc:def:crs:EPSG::2103632.86482330150831 -2.73059417774990533.105506030402495 -2.373163269507682geonode:existing_sewer_networkExisting Sewer Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresExistingServiceNetworkexisting_sewer_networkurn:ogc:def:crs:EPSG::2103632.89133752723142 -2.529026565471091332.916678922168515 -2.4678436795681926geonode:existing_water_supply_networkExisting Water Supply Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresSupplyExistingwaterexisting_water_supply_networkNetworkurn:ogc:def:crs:EPSG::2103632.86615139456648 -2.647594380389929633.05679179115283 -2.442989003767491geonode:mwanza_financial_amenitiesThis dataset contains information about financial amenities such as banks and ATMs in Mwanza City. This data was obtained from field survey in Mwanza. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.exposuremwanza_financial_amenitiesamenitiesfeaturesfinanceurn:ogc:def:crs:EPSG::432632.8891182 -2.621812932.9534071 -2.4540071geonode:mwanza_health_facilitiesThis dataset contains information about health facilities such as hospitals and pharmacies in Mwanza City. This data was obtained from field survey in Mwanza. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.amenitiesfeaturesexposurehealthclinicmwanza_health_facilitiesurn:ogc:def:crs:EPSG::432632.8796422 -2.633957832.9555074 -2.4503072geonode:mwanza_households_affected_by_rockfallThis dataset contains information of households affected by rockfall incidents in Mwanza City for the past 10 years. This data was collected by carrying out on-the-ground data collection in areas where rock fall incidents have been reported. Collection was executed by surveying local household residents who have experienced rockfalls. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.disasterurban environmentfeatureshazardmwanza_households_affected_by_rockfallrockfallurn:ogc:def:crs:EPSG::432632.88399836 -2.5880632.92547333 -2.47462geonode:mwanza_households_at_risk_of_rockfallThis dataset shows areas that are at risk when rockfalls happen within Mwanza City. This data was derived from digitization around areas where rockfalls were likely to happen. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data creation was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.disastermwanza_households_at_risk_of_rockfallurban environmentfeatureshazardrockfallurn:ogc:def:crs:EPSG::432632.88079669455472 -2.63412244092716332.9763620875604 -2.473718068389893geonode:mwanza_officesThis dataset contains information about government, private and NGO offices in Mwanza City. This data was obtained from field survey in Mwanza. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.featuresmwanza_officesofficeexposureurn:ogc:def:crs:EPSG::432632.8801703 -2.626715433.0180519 -2.4532151geonode:mwanza_other_points_of_interestThis dataset contains information about general Points of Interest such as bars, libraries and gas stations in Mwanza City. This data was obtained from field survey in Mwanza. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.mwanza_other_points_of_interestexposuregas stationamenitiesfeatureslibraryPOIbarurban infrastructureurn:ogc:def:crs:EPSG::432632.8761231 -2.628543532.9949409 -2.3992216geonode:place_namePlace Name dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.namePlaceplace_namefeaturesurn:ogc:def:crs:EPSG::2103632.880554445140135 -2.71732199063777533.200935320428066 -2.3839728866539285geonode:proposed_drainage_catchmentProposed Drainage Catchment dataset contains spatial data used for the Mwanza Master Plan. The cccdata was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.Drainagefeaturesproposed_drainage_catchmentProposedcatchmentsurn:ogc:def:crs:EPSG::2103632.86050955411963 -2.702859475206346433.081986121481314 -2.363435842085926geonode:proposed_drainage_natural_wetlandf040fff6db3dProposed Drainage Natural Wetland dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.naturalProposedfeaturesproposed_drainage_natural_wetlandf040fff6db3dNaturalDrainageWetlandurn:ogc:def:crs:EPSG::2103632.88482625156908 -2.658361685501370533.01659496312965 -2.387899079916215geonode:proposed_drainage_networkProposed Drainage Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.Drainagefeaturesproposed_drainage_networkProposedNetworkurn:ogc:def:crs:EPSG::2103632.8743155954656 -2.655039354037858533.08108354926608 -2.387934840660068geonode:proposed_electricity_networkProposed Electricity Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresElectricityNetworkproposed_electricity_networkProposedurn:ogc:def:crs:EPSG::2103632.90120199476456 -2.679569389859030733.035842468261926 -2.4218245530620868geonode:proposed_ict_shapeProposed ICT Shape dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.ProposedShapeICTfeaturesproposed_ict_shapeurn:ogc:def:crs:EPSG::2103632.87438090699422 -2.66987954725412433.04611272029279 -2.385115604810179geonode:proposed_sewerage_transfer_stationProposed Sewerage Transfer Station dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagementSeweragefeaturesProposedStationTransferproposed_sewerage_transfer_stationurn:ogc:def:crs:EPSG::2103632.951957955718065 -2.63947586189701732.99284937484352 -2.4213066900291347geonode:proposed_soild_waste_landfillProposed Soild Waste Landfill dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.LandfillfeaturessolidProposedWasteproposed_soild_waste_landfillurn:ogc:def:crs:EPSG::2103633.00020627037779 -2.61668573552387333.04460675139108 -2.432456540612442geonode:proposed_water_supply_networkProposed Water Supply Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresproposed_water_supply_networkwaterSupplyNetworkProposedurn:ogc:def:crs:EPSG::2103632.87274664563247 -2.638254247300776633.05579624868077 -2.382586113186085geonode:mwanza_religious_facilitiesThis dataset contains information about religious institutions in Mwanza City. This data was obtained from field survey in Mwanza. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.religionexposuremosquefeatureschristianmwanza_religious_facilitiesmuslimchurchurn:ogc:def:crs:EPSG::432632.882638 -2.622027233.0188522 -2.446665geonode:mwanza_roadsThis dataset contains information about roads in Mwanza city. This data resulted from a data cleaning exercise of existing road data in OpenStreetMap. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data processing was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.mwanza_roadsexposureinfrastructurefeaturesroadsurn:ogc:def:crs:EPSG::432632.8636547 -2.65519498306902233.08086004297584 -2.375680139182044geonode:mwanza_rockfall_locationsThis dataset contains information on locations of rockfalls in Mwanza City for the past 10 years. This data was collected by carrying out on-the-ground data collection in areas where rock fall incidents have been reported. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City. Data collection was executed by Spatial Collective, OpenMap Development Tanzania (OMDTZ), Humanitarian OpenStreetMap Team (HOT), and students from IRDP and SAUT universities in Mwanza.urban environmentdisastermwanza_rockfall_locationsrockfallfeatureshazardurn:ogc:def:crs:EPSG::432632.88093333 -2.63389698232.97423363 -2.4739638geonode:approved_projectsApproved Projects dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.approved_projectsProjectsfeaturesApprovedurn:ogc:def:crs:EPSG::2103632.86366662820532 -2.645028223670317833.07686014120542 -2.37286197787487geonode:contour_10mContour 10m dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.contour_10m10mfeaturesContoururn:ogc:def:crs:EPSG::2103632.7509627149321 -2.92002351328942333.28288806760793 -2.3626130740553912geonode:district_boundaries_9a3af830e8c06df98d4319c7d480c542District Boundaries dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.district_boundaries_9a3af830e8c06df98d4319c7d480c542boundariesfeaturesdistrictsurn:ogc:def:crs:EPSG::2103632.86050831451561 -2.713705511191184533.08198685006592 -2.363435770613485geonode:mwanza_drainage_points_elevationThis dataset contains information about drainage elevation in Mwanza city. The points of elevation have been captured by using Real Time Kinematik (RTK) as it enables accurately points to be captured with location of up to 2cm error. This data was obtained from field survey in Ilemela and Nyamagana. This dataset was produced under the Community Mapping Urban risks project in Mwanza which aims to generate up-to-date open data on drainage for flood modeling purposes. This dataset covers the Ibungilo, Ilemela, Mecco, Buzuruga, Nyamanoro, Kirumba, Kitangili, Pasiansi, Kirumba and Kawekamo for Ilemela municipality and for Nyamagana Municipality were Butimba, Mkuyuni, Mabatini, Pamba, Isamilo, Mirongo, Mbugani and Igogo. These wards were 18 in total for both municipalities.mwanza_drainage_points_elevationexposureelevationDrainagefeaturesurban infrastructureurn:ogc:def:crs:EPSG::432632.8824926 -2.57530622532.96770325 -2.443109675geonode:existing_sewerage_pump_stationExisting Dumping Site dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresSiteExistingexisting_sewerage_pump_stationDumpingurn:ogc:def:crs:EPSG::2103632.89883600721918 -2.545341636484851632.90513737235382 -2.5066864351774645geonode:existing_ict_base_stationExisting ICT Base Station dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.ICTfeaturesBaseexisting_ict_base_stationExistingStationurn:ogc:def:crs:EPSG::2103632.88482362812429 -2.68045467980344833.00479258704312 -2.4482581067889115geonode:existing_ict_networkExisting ICT Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.ICTfeaturesNetworkExistingexisting_ict_networkurn:ogc:def:crs:EPSG::2103632.891733986489164 -2.60131471620598232.939582971111854 -2.4434142690129774geonode:existing_service_reservoirExisting Sewer Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement. through stakeholder engagement.ReservoirfeaturesExistingexisting_service_reservoirServiceurn:ogc:def:crs:EPSG::2103632.889719491131665 -2.597175618101930533.03869073242205 -2.4808306360086534geonode:existing_solid_waste_collectionExisting Solid Waste Collection dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresexisting_solid_waste_collectionUrbanDevelopmentinfrastructurePlanningurn:ogc:def:crs:EPSG::2103632.89453345129439 -2.602111643876697632.983402440478976 -2.4579826753855847geonode:existing_water_supply_intakeExisting Water Supply Intake dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresSupplyExistingwaterIntakeexisting_water_supply_intakeurn:ogc:def:crs:EPSG::2103632.88577891209987 -2.5852557088826132.899911266353726 -2.5262058135269774geonode:existing_electricity_networkExisting Electricity Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresExistingNetworkElectricityexisting_electricity_networkurn:ogc:def:crs:EPSG::2103632.9557860796369 -2.63726186222765433.041418061673276 -2.5414335094959166geonode:existing_electricity_sub_stationsExisting Electricity Sub Stations dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.existing_electricity_sub_stationsStationsfeaturesExistingSubElectricityurn:ogc:def:crs:EPSG::2103632.90320207180871 -2.570808227946079332.96622985841032 -2.4701932512892895geonode:existing_landuse_planExisting Landuse Plan dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featureslandusePlanExistingexisting_landuse_planurn:ogc:def:crs:EPSG::2103632.860506105401775 -2.73292707244742833.106590831564716 -2.363435770613485geonode:existing_dumping_site_99d0d83636763fbbcfdcd1bcc3f7ea96Existing Dumping Site dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresSiteexisting_dumping_site_99d0d83636763fbbcfdcd1bcc3f7ea96ExistingDumpingurn:ogc:def:crs:EPSG::2103632.945194949729725 -2.63988808197487733.038311074143714 -2.3947454015735223geonode:existing_natural_drainage_networkExisting Natural Drainage Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.DrainagefeaturesNaturalExistingexisting_natural_drainage_networkNetworkurn:ogc:def:crs:EPSG::2103632.87441669386142 -2.715617478840401533.09482344967396 -2.378453813969353geonode:existing_town_planning_schemesExisting Town Planning Schemes dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresExistingTownexisting_town_planning_schemesSchemesPlanningurn:ogc:def:crs:EPSG::2103632.861299522944634 -2.65292478588286833.04545010919102 -2.3745444651874217geonode:existing_ward_wise_land_valuesExisting Ward Wise Land Values dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresExistingWardWiseValueslandexisting_ward_wise_land_valuesurn:ogc:def:crs:EPSG::2103632.86084184235208 -2.655256933669366333.157221437897206 -2.257940985933883geonode:existing_wardwise_population_densitiesExisting Wardwise Population Densities dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresExistingWardwisePopulationDensitiesexisting_wardwise_population_densitiesurn:ogc:def:crs:EPSG::2103632.86084184235208 -2.655256933669366333.157221437897206 -2.257940985933883geonode:existing_waste_water_treatment_plantExisting Waste Water Treatment Plant dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresExistingwaterPlantTreatmentWasteexisting_waste_water_treatment_planturn:ogc:def:crs:EPSG::2103632.91141105234014 -2.469069255065743432.911429043623656 -2.4690511595698497geonode:existing_waste_water_treatment_plant7d846b3e0d8efeaturesexisting_waste_water_treatment_plant7d846b3e0d8eurn:ogc:def:crs:EPSG::2103632.91141105234014 -2.469069255065743432.911429043623656 -2.4690511595698497geonode:existing_water_supply_zoneExisting Water Supply Zone dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.existing_water_supply_zonefeaturesSupplyExistingwaterurn:ogc:def:crs:EPSG::2103632.8612276723559 -2.71370550999823533.08188848118193 -2.372861735163961geonode:landmarkLandmark dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.landmarkconservationfeaturesurn:ogc:def:crs:EPSG::2103632.86510699200136 -2.716014854654129632.9907250914412 -2.3997698291858094geonode:proposed_drainage_channel_391e6b761af320bb4c37be924ed17b83Proposed Drainage Channel dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagementDrainagefeaturesChannelProposedproposed_drainage_channel_391e6b761af320bb4c37be924ed17b83urn:ogc:def:crs:EPSG::2103632.89460203456525 -2.65583943138139333.08161203152701 -2.383665412410907geonode:proposed_ict_networkProposed ICT Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.proposed_ict_networkProposedICTfeaturesNetworkurn:ogc:def:crs:EPSG::2103632.872937023708985 -2.705134243119015733.06034965125732 -2.3846127927136793geonode:proposed_planning_zone_boundaries569743b61cddProposed Planning Zone Boundaries dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.ZoneboundariesfeaturesProposedproposed_planning_zone_boundaries569743b61cddPlanningurn:ogc:def:crs:EPSG::2103632.8612276723559 -2.71370550999823533.08188848118193 -2.372861735163961geonode:proposed_solid_waste_collection_zoneProposed Solid Waste Collection Zone dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.Zoneproposed_solid_waste_collection_zonesolidfeaturesProposedWasteCollectionurn:ogc:def:crs:EPSG::2103632.86123427446807 -2.655121517539634533.08188458531649 -2.372861735163961geonode:proposed_stp_pumping_station_transfer_stationProposed STP Pumping Station Transfer Station dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.STPfeaturesProposedStationPumpingTransferproposed_stp_pumping_station_transfer_stationurn:ogc:def:crs:EPSG::2103632.86608933733921 -2.654179388960652633.009148026886024 -2.3742910638140047geonode:proposed_urban_design_planning_boundaryProposed Urban Design Planning Boundary dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresproposed_urban_design_planning_boundaryProposedboundaryUrbanPlanningDesignurn:ogc:def:crs:EPSG::2103632.8905762184764 -2.526971707322578432.90849026615983 -2.505279905702135geonode:proposed_drainage_channelProposed Water Distribution Centre dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagementfeaturesCentrewaterDistributionproposed_drainage_channelProposedurn:ogc:def:crs:EPSG::2103632.89460203456525 -2.65583943138139333.08161203152701 -2.383665412410907geonode:proposed_water_distribution_centreProposed Water Distribution Centre dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresCentrewaterDistributionproposed_water_distribution_centreProposedurn:ogc:def:crs:EPSG::2103632.872382233709885 -2.63378855870712133.05249665546979 -2.4187204428878646geonode:proposed_water_supply_intakeProposed Water Supply Intake dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresSupplyIntakewaterProposedproposed_water_supply_intakeurn:ogc:def:crs:EPSG::2103632.980032799414545 -2.380562104771069432.98005078861393 -2.3805440101719477geonode:proposed_water_supply_zoneProposed Water Supply Zone dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.ZonefeaturesSupplyProposedwaterproposed_water_supply_zoneurn:ogc:def:crs:EPSG::2103632.8612276723559 -2.71370550999823533.08188848118193 -2.372861735163961geonode:proposed_bus_rapid_transit_networkProposed Bus Rapid Transit Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.BusfeaturesProposedTransitRapidproposed_bus_rapid_transit_networkNetworkurn:ogc:def:crs:EPSG::2103632.89467008410617 -2.624610458488904332.99534787127501 -2.4413662533729688geonode:proposed_drainage_detention_pondProposed Drainage Detention Pond dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.Drainageproposed_drainage_detention_pondfeaturesProposedpondsdetetionurn:ogc:def:crs:EPSG::2103632.89790631642361 -2.49841910023523532.9049103931403 -2.4871092134797563geonode:proposed_drainage_natural_wetlandfeaturesproposed_drainage_natural_wetlandurn:ogc:def:crs:EPSG::2103632.88482625156908 -2.658361685501370533.01659496312965 -2.387899079916215geonode:proposed_electric_sub_stationProposed Electric Sub Station dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.proposed_electric_sub_stationfeaturesProposedStationElectricSuburn:ogc:def:crs:EPSG::2103632.90305870314411 -2.63599377156348333.024839524116516 -2.439635201383949geonode:proposed_environment_treatment_zoneProposed Environment Treatment Zone dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.Zoneproposed_environment_treatment_zoneenvironmentfeaturesProposedTreatmenturn:ogc:def:crs:EPSG::2103632.94620444905341 -2.646119442817316332.95780891036206 -2.49019712318336geonode:proposed_road_right_of_wayProposed Road Right of Way dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuresProposedroadWayproposed_road_right_of_wayRighturn:ogc:def:crs:EPSG::2103632.863075666730175 -2.73180341171637433.092512124801196 -2.373347547422056geonode:proposed_sewer_networkProposed Sewer Network dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.proposed_sewer_networkfeaturesProposedSewerNetworkurn:ogc:def:crs:EPSG::2103632.866089314333564 -2.65439337237085533.02247413353412 -2.37381615472539geonode:proposed_sewerage_constructed_wetlandProposed Sewerage Constructed Wetland dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.Sewerageproposed_sewerage_constructed_wetlandfeaturesProposedWetlandConstructedurn:ogc:def:crs:EPSG::2103632.92503000095809 -2.64566565526657433.02615582714554 -2.480010049622866geonode:proposed_solid_waste_transfer_stationProposed Solid Waste Transfer Station dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.featuressolidProposedStationproposed_solid_waste_transfer_stationTransferWasteurn:ogc:def:crs:EPSG::2103632.951957955718065 -2.63947586189701732.99284937484352 -2.4213066900291347geonode:regional_boundariesRegional Boundaries dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.regional_boundariesRegionalboundariesfeaturesurn:ogc:def:crs:EPSG::2103631.93248364460408 -3.43780134591054533.79105337096991 -1.669479609380604geonode:ward_boundaries_3f7b0f55ee9ba5ff1b1d6823c209cd35Ward Boundaries dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.boundariesward_boundaries_3f7b0f55ee9ba5ff1b1d6823c209cd35featuresWardurn:ogc:def:crs:EPSG::2103632.86117714918455 -2.65510916019467833.08188458450372 -2.3728551756585428geonode:nungwi_art_centersThis dataset contains information about art spaces in Nungwi. Art centers are shops in which artist showcase some of their art works as well as act as an art studio in which they create their art pieces. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.artart centersnungwi_art_centersfeaturesurn:ogc:def:crs:EPSG::432639.290923708252244 -5.73643188509984239.29866655718065 -5.725709916598728geonode:nungwi_buildingsThis dataset contains information about the built nature and use of buildings in Nungwi area. The geometry was sourced from the Commission for Lands and from OpenStreetMap while the other attributes were attached to the geometry during a fieldwork expedition in Nungwi. This dataset was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.infrastructurebuildingsfeaturesnungwi_buildingsurn:ogc:def:crs:EPSG::432639.28919876472999 -5.74363110631006639.31302874892266 -5.72221279493769geonode:nungwi_businessesThis dataset contains information about businesses in Nungwi. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.businessesfeaturesshopsnungwi_businessesurn:ogc:def:crs:EPSG::432639.290430622992794 -5.74257389233743439.30997697542842 -5.722545916011199geonode:nungwi_community_centers_0ef07a3eeb1f5579c71a6d94efe298d3This dataset contains information about locations of public community spaces in Nungwi. A community center is a social space where community members congregate for various purposes such as leisure, meetings etc. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.socialcommunicationfeaturesnungwi_community_centers_0ef07a3eeb1f5579c71a6d94efe298d3communityurn:ogc:def:crs:EPSG::432639.29432212480359 -5.73785591211226239.303275992566526 -5.723916883781329geonode:ningwi_community_heritageThis dataset contains information about locations of areas of cultural significance to the local community in Nungwi. Community heritage in this case means important sites/places/things which have significance to the local community of Nungwi. This data was obtained from a community walk together with local guides from within the community in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.featurestourismculturerecreationningwi_community_heritageurn:ogc:def:crs:EPSG::432639.295001 -5.72932139.300357 -5.722976geonode:nungwi_craft_workshopsThis dataset contains information about crafts in Nungwi. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.craftsfeaturespaintingnungwi_craft_workshopsartsurn:ogc:def:crs:EPSG::432639.29208442143086 -5.73912387592808439.301865996896574 -5.722900948533137geonode:nungwi_dining_and_recreationThis dataset contains information about locations of eateries and recreational areas in Nungwi. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.amenitiesdiningfeaturestourismnungwi_dining_and_recreationrecreationurn:ogc:def:crs:EPSG::432639.28823361330242 -5.75008700637043439.309598425367696 -5.722718158654486geonode:nungwi_education_facilitiesThis dataset contains information about learning institutions in Nungwi This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.nungwi_education_facilitieseducationamenitiesfeaturesurn:ogc:def:crs:EPSG::432639.29344240464585 -5.74166694556685539.3028329434684 -5.723248919519572geonode:nungwi_health_facilitiesThis dataset contains information about medical institutions in Nungwi This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.healthamenitiesfeaturesclinicnungwi_health_facilitiesurn:ogc:def:crs:EPSG::432639.29304058821926 -5.73381961038746139.29845599207806 -5.727041011899185geonode:nungwi_hotelsThis dataset contains information about locations and service information of hotels in Nungwi. This data was collected through a site visit of hotels in the area. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.hotelstourismaccommodationfeaturesrecreationnungwi_hotelsurn:ogc:def:crs:EPSG::432639.291616848325475 -5.73590381794020239.311463417729044 -5.723425473485442geonode:nungwi_information_signsThis dataset contains information about physical signage in Nungwi. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.nungwi_information_signsinfrastructurecommunicationfeaturesinformationurn:ogc:def:crs:EPSG::432639.28811305939129 -5.75070855127596239.306351 -5.722488geonode:nungwi_inland_watersThis dataset contains geometries of inland waters in Nungwi. This data was obtained from digitization of drone imagery and field verification survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.featuresnungwi_inland_watersurn:ogc:def:crs:EPSG::432639.30278479376918 -5.72413310274283939.30370942969111 -5.722254345834618geonode:nungwi_landuseThis dataset approximates the current land use in Nungwi. This data was derived from a building survey that was done in the entire Nungwi area. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.featuresnungwi_landuseland useurn:ogc:def:crs:EPSG::432639.28873231165042 -5.74295792703735439.31319583827833 -5.72191385596687geonode:nungwi_playgroundsThis dataset contains information about playgrounds in Nungwi. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.featuresnungwi_playgroundsplaygroundsopen spacesurn:ogc:def:crs:EPSG::432639.290067523954946 -5.7361913589711339.311095377957145 -5.725433453829729geonode:nungwi_protected_areasThis dataset contains the location of the protected biodiversity area in Nungwi. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.biodiversitylighthouseconservationfeaturesnungwi_protected_areasurn:ogc:def:crs:EPSG::432639.30249984816104 -5.72346987606989639.30403336218257 -5.721921301361488geonode:nungwi_religious_facilitiesThis dataset contains information about religious institutions in Nungwi This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.amenitiesnungwi_religious_facilitiesreligionfeaturesurn:ogc:def:crs:EPSG::432639.29240386234588 -5.74140461270957739.30143669202229 -5.724379354498963geonode:nungwi_roadsThis dataset contains information about roads in Nungwi area. The geometry was sourced from OpenStreetMap while the other attributes were attached to the geometry during a fieldwork expedition in Nungwi. This dataset was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.exposurehighwaysinfrastructurefeaturesnungwi_roadsroadurn:ogc:def:crs:EPSG::432639.284652479422284 -5.84022221256073539.32270538435216 -5.722209475119807geonode:nungwi_solid_waste_managementThis dataset contains information about locations of waste disposal points Nungwi This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.trashwaste managementamenitiesfeaturessanitationnungwi_solid_waste_managementurn:ogc:def:crs:EPSG::432639.29269392835113 -5.74184990813891439.30891974817053 -5.723421877020718geonode:nungwi_street_lightingThis dataset contains information about locations of streetlights (public and private) in Nungwi. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.infrastructurefeaturesutilitieslightingnungwi_street_lightingurn:ogc:def:crs:EPSG::432639.289962960055874 -5.7362019060127239.29802318377416 -5.724906538482586geonode:nungwi_swimming_poolsThis dataset contains swimming pools as digitized from drone imagery. Verification of this features was done by a field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.swimming poolswaterfeaturesnungwi_swimming_poolsleisurehotelsurn:ogc:def:crs:EPSG::432639.289592045675064 -5.74144090135051439.31263365304967 -5.722855452182504geonode:nungwi_toiletsThis dataset contains information about locations of toilets in Nungwi This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.amenitiestoiletsfeaturessanitationWCnungwi_toiletsurn:ogc:def:crs:EPSG::432639.29374899965233 -5.74156558767310339.30471069190679 -5.72315578166006geonode:nungwi_tourist_attractionsThis dataset contains information about tourist attactions in Nungwi. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.featureszoonungwi_tourist_attractionsconservationtourist attractionsurn:ogc:def:crs:EPSG::432639.30270592168722 -5.72463822278148939.30483541185911 -5.722313224297604geonode:nungwi_treesThis dataset contains information about tree cover in Nungwi. This data was obtained from field survey in Nungwi as well as digitization on high resolution imagery. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.urban ecologyfeaturesnungwi_treestreesurn:ogc:def:crs:EPSG::432639.2888393472985 -5.74489751787638439.318484470326666 -5.722131442971923geonode:nungwi_useful_servicesThis dataset contains information about points of interest in Nungwi, such as ATMs, gas stations and money exchange services. This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.utilitiesnungwi_useful_servicesamenitiesfeaturesinfrastructurePOIurn:ogc:def:crs:EPSG::432639.291411223956935 -5.74286634594045539.30116019057784 -5.726635212290615geonode:nungwi_water_pointsThis dataset contains information about locations of water points Nungwi This data was obtained from field survey in Nungwi. It was produced under the project Resilience Academy – Nungwi mapping which aims at generating up-to-date open data for the upcoming town upgrading activities. The mapping was overseed by Spatial Collective, and conducted by students from the State University of Zanzibar (SUZA) undertaking Bsc in Information Technology and Application namagement, Bsc Computer Science and BA in Geography and Environmental Science. This dataset covers the Kiungani and Bandakuu Shehias in the Kaskazini A district in Nungwi.featureswaternungwi_water_pointsamenitiesurn:ogc:def:crs:EPSG::432639.29391276252863 -5.74271591826548339.30386097547955 -5.72401493761567geonode:nungwi_water_points_0255c1114173fd8aa80c2dadab1312c2The Nungwi Water Points dataset provides geospatial information on water access points within Nungwi, located in the northern part of Unguja Island, Zanzibar, United Republic of Tanzania. Compiled by Msilikale Msilanga and published on March 5, 2025, the dataset documents inland water resources with a focus on drinking water and public water supply systems. It includes detailed attributes and asset information relevant to watershed management, community access, and sustainable water use. This dataset supports research, planning, and decision-making related to water resource management, public health, and local infrastructure development in coastal communities of Zanzibar.nungwi_water_points_0255c1114173fd8aa80c2dadab1312c2featuresdrinking waterwatershedpublic waterurn:ogc:def:crs:EPSG::432639.29391276252863 -5.74271591826548339.30386097547955 -5.72401493761567geonode:pemba_island_orthophoto_infogridHigh-resolution, 3-band, true color orthophotos covering most of the Zanzibar Pemba island, excluding some highland parts of the island. A single image covers the area of max 3x3km. Images were mapped with drones during years 2018-2016. Spatial resolution varies between 7-8cm, users are advised to check the resolution of a specific image from image properties. These drone images can be used e.g. as basemaps, reference images or for image analysis. Images were captured during Zanzibar Mapping Initiative project, in collaboration between Tanzania Commission for Science and Technology (COSTECH), Zanzibar Commission for Lands (COLA), State University of Zanzibar (SUZA), DA, Spatialinfo, OBSCOM, Sensefly/Parrot Company and The World Bank. The data can be downloaded through Original Data Sourcefeaturespemba_island_orthophoto_infogridurn:ogc:def:crs:EPSG::432639.560167005065125 -5.50119884431413539.88478399923173 -4.849804598867014geonode:proposed_planning_district_boundariesProposed Planning District Boundaries dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.boundariesfeaturesProposeddistrictsproposed_planning_district_boundariesPlanningurn:ogc:def:crs:EPSG::2103632.8612276723559 -2.71370550999823533.08188848118193 -2.372861735163961geonode:proposed_sewerage_zonesProposed Sewerage Zones dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.ZoneSeweragefeaturesProposedproposed_sewerage_zonesurn:ogc:def:crs:EPSG::2103632.8612276723559 -2.71370550999823533.08188848118193 -2.372861735163961geonode:sumbawanga_drain_pointsgpkg_shmThis dataset contains information about locations of drain segments in Sumbawanga. This data was obtained from field survey in some of the Sumbawanga municipality wards. The dataset produced under the Tanzania Urban Resilience Program. The assignment built on previous knowledge on community mapping and open-source digital spatial data collection acquainted in TURP, and in doing so building digital skills and creating job opportunities for the students.urban infrastructureDrainagefeaturessumbawanga_drain_pointsgpkg_shmurn:ogc:def:crs:EPSG::432631.57911806000001 -8.0218593531.65410436666667 -7.925315288333333geonode:sumbawanga_drain_elevationsThis dataset contains information about the elevation of drain points of interest in Sumbawanga. This dataset was produced under the Tanzania Urban Resilience Program. The assignment shall build on previous knowledge on community mapping and open-source digital spatial data collection acquainted in TURP, and in doing so building digital skills and creating job opportunities for the students.sumbawanga_drain_elevationselevationfeaturesDrainageurban infrastructureurn:ogc:def:crs:EPSG::432631.57911806 -8.0218593531.6541043666667 -7.92531528833333geonode:cbd_existing_landuseThis shapefile provides information on land use planning within Tanga city under the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.cbd_existing_landusefeaturesUrbanPlanningland useurn:ogc:def:crs:EPSG::2103739.08493280618714 -5.086061177350380539.12690117028315 -5.054739664326034geonode:commercial_zoneThis shapefile provides information on land use planning within Tanga city under the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.land usefeaturesUrbancommercial_zonePlanningurn:ogc:def:crs:EPSG::2103738.94070270787685 -5.13040435189344838.94461950922144 -5.127631624211285geonode:conservation_areaThis shapefile represents environmental and conservation areas in Tanga city as outlined in the 2016-2036 masterplan. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.land useenvironmentfeaturesconservation_areaconservationurn:ogc:def:crs:EPSG::2103738.897260281644584 -5.27364416982805639.139868676878386 -4.960627880173371geonode:contours_75mThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.featuresPlanningUrbancontours_75murn:ogc:def:crs:EPSG::432638.8543520150544 -5.2686169032899339.171240301953446 -4.95678759799637geonode:epza_areaThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.epza_areaPlanningUrbanfeaturesurn:ogc:def:crs:EPSG::2103739.03877911294566 -5.173744870397654539.07421905143366 -5.127417167612568geonode:existing_landuseThis shapefile provides information on land use planning within Tanga city under the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.existing_landusefeaturesUrbanPlanninglanduseurn:ogc:def:crs:EPSG::2103738.890293775530054 -5.29494479823756939.16397257756358 -4.961119899748001geonode:facilitiesThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.PlanningfacilitiesUrbanfeaturesurn:ogc:def:crs:EPSG::2103638.969292509443704 -5.13592122503402839.12597195974532 -5.058072095602506geonode:improve_revelopmt_upgrading_areas_2This shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.improve_revelopmt_upgrading_areas_2PlanningUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.90494887629212 -5.25339163299527939.135982027684946 -4.981785847427348geonode:industrial_areaThis shapefile provides information on land use planning within Tanga city under the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.land usefeaturesUrbanindustrial_areaPlanningurn:ogc:def:crs:EPSG::2103738.936238120719906 -5.17494910499994439.092723346941376 -4.990481798466788geonode:infilling_residential_developementThis shapefile provides information on land use planning within Tanga city under the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.land usefeaturesUrbaninfilling_residential_developementPlanningurn:ogc:def:crs:EPSG::2103738.994640156824666 -5.12868975019340939.126706328005575 -5.054728199145717geonode:institutionsThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.PlanninginstitutionsUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.97714204506602 -5.20994617872185439.11872534279732 -5.013088640346956geonode:kolekole_range_areaThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.kolekole_range_areaPlanningUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.97014219924319 -5.21152227698716238.992783123508715 -5.189212826183552geonode:land_bankingThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.PlanningUrbanfeaturesland_bankingurn:ogc:def:crs:EPSG::21037-179.27015693606447 -89.99859427313189-179.27015693606447 -89.99859427313189geonode:local_roadsThis shapefile contains data about roads in Tanga City as part of the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.featureslocal_roadsroadsinfrastructureTransportationurn:ogc:def:crs:EPSG::2103738.91619495784128 -5.259520080281026539.11729893875519 -4.980964149596671geonode:main_distribution_pipeThis shapefile shows water infrastructure data within Tanga city from the Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.infrastructurewatermain_distribution_pipefeaturesurn:ogc:def:crs:EPSG::2103738.91619521731252 -5.25757902611134339.12593346163591 -4.973799243293162geonode:main_roadsThis shapefile contains data about roads in Tanga City as part of the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.infrastructurefeaturesTransportationroadsmain_roadsurn:ogc:def:crs:EPSG::2103738.89032704599281 -5.29490318111334839.12027422206278 -4.969626950598672geonode:minor_roadsThis shapefile contains data about roads in Tanga City as part of the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.minor_roadsinfrastructurefeaturesTransportationroadsurn:ogc:def:crs:EPSG::2103738.93477233106756 -5.25923740462283439.13422305368483 -4.985255133731865geonode:new_residential_develepmentThis shapefile provides information on land use planning within Tanga city under the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.land usefeaturesUrbannew_residential_develepmentPlanningurn:ogc:def:crs:EPSG::2103738.91392324344273 -5.25892599436691139.120705362865515 -4.980963534317337geonode:pipe_diameter_150_300This shapefile shows water infrastructure data within Tanga city from the Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.infrastructurewaterpipe_diameter_150_300featuresurn:ogc:def:crs:EPSG::2103738.917962254684205 -5.22467817228990839.12525094628104 -4.997971908725417geonode:tanga_portThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.tanga_portPlanningUrbanfeaturesurn:ogc:def:crs:EPSG::2103739.10095842022406 -5.12862183021349539.1189866579594 -5.063650606396815geonode:proposed_roadsThis shapefile contains data about roads in Tanga City as part of the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.infrastructurefeaturesTransportationroadsproposed_roadsurn:ogc:def:crs:EPSG::2103738.75158079727286 -5.23020120997439739.07228449954223 -4.958745523886766geonode:quarry_sitesThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.PlanningUrbanfeaturesquarry_sitesurn:ogc:def:crs:EPSG::2103739.00063284915415 -5.097526380934783539.04258408863813 -5.060061902515855geonode:cbd_proposed_landuseThis shapefile provides information on land use planning within Tanga city under the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.cbd_proposed_landuseland usefeaturesurn:ogc:def:crs:EPSG::2103739.08493271314339 -5.086061177350380539.12690117028315 -5.05402492861466geonode:tanga_city_boundaryThis shapefile defines administrative or zonal boundaries of Tanga city for the period of 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.administrativetanga_city_boundaryboundariesfeaturesurn:ogc:def:crs:EPSG::2103738.89022216440866 -5.29504200372677139.164051887091645 -4.961101803304519geonode:dumping_sitesThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.dumping_sitesfeaturesUrbanPlanningurn:ogc:def:crs:EPSG::2103739.07468867513488 -5.11242658541553239.08958767474465 -4.986682064639458geonode:hotel_sitesThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.Urbanfeatureshotel_sitesPlanningurn:ogc:def:crs:EPSG::2103739.07055757528673 -5.25740578739160539.12612813686911 -5.061581017483083geonode:main_supply_pipeThis shapefile shows water infrastructure data within Tanga city from the Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.infrastructurewatermain_supply_pipefeaturesurn:ogc:def:crs:EPSG::2103738.96092533360434 -5.09607671503506639.07658831688584 -5.055207889985431geonode:mini_bus_stand_pongweThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.Planningmini_bus_stand_pongweUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.97812181751617 -5.122392289241334538.97897845559967 -5.1213016191246155geonode:new_cbd_boundaryThis shapefile defines administrative or zonal boundaries of Tanga city for the period of 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.administationnew_cbd_boundaryboundariesfeaturesurn:ogc:def:crs:EPSG::2103739.08441590292169 -5.08620115642179139.12713818354688 -5.053177967324989geonode:ocean_areaThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.Planningocean_areaUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.89801421967739 -5.22090078712812939.16395321531942 -4.969493595121327geonode:ocean_line_boundary      This shapefile defines administrative or zonal boundaries of Tanga city for the period of 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.                                                                                                                                       Sheet1             This shapefile defines administrative or zonal boundaries of Tanga city for the period of 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.administrativeboundariesfeaturesocean_line_boundaryurn:ogc:def:crs:EPSG::3273739.04639432452377 -5.25738419543179439.136857018350824 -4.968520480298928geonode:oil_proposed_2This shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.PlanningUrbanfeaturesoil_proposed_2urn:ogc:def:crs:EPSG::2103739.084927495673305 -5.07273863772473839.126854907252024 -5.013780548457788geonode:tanga_oil_sitesThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.UrbanPlanningtanga_oil_sitesfeaturesurn:ogc:def:crs:EPSG::2103739.07939706834035 -5.07273934031330439.13280582209286 -4.9875804270017445geonode:open_pastureThis shapefile represents environmental and conservation areas in Tanga city as outlined in the 2016-2036 masterplan. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.open_pastureenvironmentfeaturesconservationurn:ogc:def:crs:EPSG::21037-179.27015693606447 -89.99859427313189-179.27015693606447 -89.99859427313189geonode:pipeline_buffer_30mThis shapefile shows water infrastructure data within Tanga city from the Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.infrastructurewaterpipeline_buffer_30mfeaturesurn:ogc:def:crs:EPSG::2103738.757032105231914 -5.21133475905531539.1288722562584 -5.010410924471791geonode:potentialsThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.potentialsPlanningUrbanfeaturesurn:ogc:def:crs:EPSG::2103739.02983925692507 -5.08975207245167139.12921141814753 -5.041221816905463geonode:powerlineThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.UrbanpowerlinePlanningfeaturesurn:ogc:def:crs:EPSG::2103738.873928956187484 -5.14704781854818839.07086211780306 -5.082322163416569geonode:powerline_buffer_60mThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.powerline_buffer_60mPlanningUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.873716705841645 -5.14721629125158639.07099500856137 -5.082085672420776geonode:proposed_small_centerThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.Planningproposed_small_centerUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.92362191537243 -5.255858300197358439.11383410117386 -4.98791839266763geonode:riversThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.featuresriversUrbanPlanningurn:ogc:def:crs:EPSG::2103638.915887479087154 -5.10652756573277639.127579630918405 -5.015484574690533geonode:rural_settlement_agricultureThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.rural_settlement_agriculturePlanningUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.89022059508975 -5.29494506135929139.11762875606704 -4.9626380401839265geonode:service_industriesThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.PlanningUrbanfeaturesservice_industriesurn:ogc:def:crs:EPSG::2103738.94444785587134 -5.12975793721659939.11423093616111 -5.007691295088284geonode:sisal_estateThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.Planningsisal_estateUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.96621741290712 -5.24942192343271239.03902107005745 -5.101049124505692geonode:sisal_farmsThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.sisal_farmsPlanningUrbanfeaturesurn:ogc:def:crs:EPSG::2103739.01369064497751 -5.071867595524440639.07089821274713 -5.051613100220284geonode:special_residentialThis shapefile provides information on land use planning within Tanga city under the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.special_residentialland usefeaturesUrbanPlanningurn:ogc:def:crs:EPSG::2103739.08741123950544 -5.079318871371539.09354974959193 -5.068568272853546geonode:storage_tanksThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.storage_tanksPlanningUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.90880584806131 -5.17305826780717639.07185578261031 -5.055563427928354geonode:tipper_oil_storageThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.Urbantipper_oil_storagePlanningfeaturesurn:ogc:def:crs:EPSG::2103739.11941243147539 -5.01112366211546839.13279331281516 -5.008027805919125geonode:tourist_attraction_sitesThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.Planningtourist_attraction_sitesUrbanfeaturesurn:ogc:def:crs:EPSG::2103739.0247138657871 -5.22037684479320739.164032354177714 -5.048327719834068geonode:wards_boundariesThis shapefile defines administrative or zonal boundaries of Tanga city for the period of 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.boundariesadministrativefeatureswards_boundariesurn:ogc:def:crs:EPSG::2103738.89133370960319 -5.26186844980265839.16493567791367 -4.961119657972797geonode:waterpipe_networkThis shapefile shows water infrastructure data within Tanga city from the Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.waterpipe_networkwaterinfrastructurefeaturesurn:ogc:def:crs:EPSG::2103738.9609293018013 -5.15180210713635939.13004650222298 -5.054665631634319geonode:water_treatmentThis shapefile shows water infrastructure data within Tanga city from the Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.infrastructurewaterfeatureswater_treatmenturn:ogc:def:crs:EPSG::2103738.965888248222555 -5.06112559328135538.97138119484421 -5.055211512579231geonode:zooThis shapefile contains spatial data from the Tanga Masterplan 2016-2036. This dataset was developed as part of the comprehensive spatial planning initiative for Tanga City, aligning with sustainable development goals and urban planning standards for the period 2016-2036. It is intended for use by city planners, researchers, policy makers, and other stakeholders involved in urban development and environmental management.PlanningzooUrbanfeaturesurn:ogc:def:crs:EPSG::2103738.96035640553694 -5.0996061788794638.99198048934253 -5.082389550665679geonode:tanzania_coralreef_2018The dataset is available for download only through the UN Ocean Data Viewer: https://data.unep-wcmc.org/datasets/1 *** This dataset shows the distribution of coral reefs in Tanzanian coastal regions. This dataset has been clipped from a global coral reef dataset, which is the most comprehensive dataset of warm-water coral reefs to date, acting as a foundation baseline map for future, more detailed, work. This dataset was compiled from a number of sources by UNEP World Conservation Monitoring Centre (UNEP-WCMC) and the World Fish Centre, in collaboration with WRI (World Resources Institute) and TNC (The Nature Conservancy). Data sources include the Millennium Coral Reef Mapping Project (IMaRS-USF and IRD 2005, IMaRS-USF 2005) and the World Atlas of Coral Reefs (Spalding et al. 2001).ZanSeatanzania_coralreef_2018featurescoral reefenvironmenturn:ogc:def:crs:EPSG::432638.7960069560562 -10.37106470057540340.46147214702199 -4.70216632691438geonode:tanzania_forest_reserves_2020This dataset represents all officially mapped and maintained forest reserves in Tanzania. The dataset is from the Tanzania Forest Services (TFS) Agency, and available for download through Protected Planet database: https://www.protectedplanet.net/country/TZA. Latest update was in 2020.environmenttanzania_forest_reserves_2020featuresZanSeaforestsforestTFSurn:ogc:def:crs:EPSG::432629.737066269000024 -11.62037934399995740.43065642000005 -1.000471433999962geonode:tanzania_landcover_africover_cb4fe9bf1d2e748e80eaff3b858c6630Original source: http://www.fao.org/geonetwork/srv/en/metadata.show?uuid=29400b68-42a5-4190-af8b-5f3e9d64d022. This dataset is a spatially re-aggregated version of the original national Africover multipurpose database. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1997. The data was aggregated by eliminating polygons below a certain area threshold to give priority to the classes belonging to Agriculture. This threshold corresponds to approx. a 30 % reduction in the polygon count. The dataset was then re-aggregated based on area threshold values. For more information on the area thresholds used to spatially aggregate the land cover data, please see the 'spatial-agg-procedure' document available in the original FAO GeoNetwork page linked above. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. The data set is intended for free public access.featurestanzania_landcover_africover_cb4fe9bf1d2e748e80eaff3b858c6630urn:ogc:def:crs:EPSG::432629.28212547302246 -11.75890922546386740.4487419128418 -0.912709712982178geonode:tanzania_landcover_africoverOriginal source: http://www.fao.org/geonetwork/srv/en/metadata.show?uuid=29400b68-42a5-4190-af8b-5f3e9d64d022. This dataset is a spatially re-aggregated version of the original national Africover multipurpose database. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1997. The data was aggregated by eliminating polygons below a certain area threshold to give priority to the classes belonging to Agriculture. This threshold corresponds to approx. a 30 % reduction in the polygon count. The dataset was then re-aggregated based on area threshold values. For more information on the area thresholds used to spatially aggregate the land cover data, please see the 'spatial-agg-procedure' document available in the original FAO GeoNetwork page linked above. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. The data set is intended for free public access.land useland coverfeaturestanzania_landcover_africoverenvironmentafricoverurn:ogc:def:crs:EPSG::432629.28212547302246 -11.75890922546386740.4487419128418 -0.912709712982178geonode:tanzania_landcover_africover_a89cba961cf8753c588c38e3e8939d28Original source: http://www.fao.org/geonetwork/srv/en/metadata.show?uuid=29400b68-42a5-4190-af8b-5f3e9d64d022. This dataset is a spatially re-aggregated version of the original national Africover multipurpose database. The original full resolution land cover has been produced from visual interpretation of digitally enhanced LANDSAT TM images (Bands 4,3,2) acquired mainly in the year 1997. The data was aggregated by eliminating polygons below a certain area threshold to give priority to the classes belonging to Agriculture. This threshold corresponds to approx. a 30 % reduction in the polygon count. The dataset was then re-aggregated based on area threshold values. For more information on the area thresholds used to spatially aggregate the land cover data, please see the 'spatial-agg-procedure' document available in the original FAO GeoNetwork page linked above. The land cover classes have been developed using the FAO/UNEP international standard LCCS classification system. The data set is intended for free public access.featurestanzania_landcover_africover_a89cba961cf8753c588c38e3e8939d28urn:ogc:def:crs:EPSG::432629.28212547302246 -11.75890922546386740.4487419128418 -0.912709712982178geonode:tanzania_national_parks_2016This dataset contains all official national parks in Tanzania. The dataset is from the national agency of Tanzania National Parks (TANAPA), and available for download through Protected Planet database: https://www.protectedplanet.net/country/TZA. Latest update was in 2016.environmentfeaturesZanSeanational parktanzania_national_parks_2016urn:ogc:def:crs:EPSG::432629.603562819000047 -11.76127070899997339.44326539200006 -1.411639229999935geonode:tanzania_2022phc_wards_shapefilesfeaturestanzania_2022phc_wards_shapefilesurn:ogc:def:crs:EPSG::339529.594676576611366 -11.76024121898104240.44614003724906 -0.9847747040030813geonode:mwanza_tourist_facilitiesThis dataset contains information about tourism facilities in Mwanza City. This data was obtained from field survey in Mwanza. This dataset was produced under the Community Mapping Urban risks in Mwanza project to support local stakeholders in disaster risk management. This dataset covers the Nyamagana and Ilemea municipalities in Mwanza City.hotelsmwanza_tourist_facilitiestoursimfeaturesattractionsurn:ogc:def:crs:EPSG::432632.8683959 -2.628543533.0603213 -2.3760351geonode:point_of_interest_tungamalengaThis data set was created during participatory mapping activities in Southern Highlands Tanzania. The purpose of the data was to help the analysis for the development of research papers.point_of_interest_tungamalengafeaturesResearchTungamalengaurn:ogc:def:crs:EPSG::3273635.0703635678504 -7.86421857359034335.11748155188307 -7.813941851723151geonode:tungamalenga_roadThis data set was created during participatory mapping activities in Southern Highlands Tanzania. The purpose of the data was to help the analysis for the development of research papers.featuresTungamalengatungamalenga_roadurn:ogc:def:crs:EPSG::3273635.06934909419128 -7.87195634515869635.12138438637268 -7.812317808996844geonode:tungamalenga_servicepointsThis data set was created during participatory mapping activities in Southern Highlands Tanzania. The purpose of the data was to help the analysis for the development of research papers.featurestungamalenga_servicepointsTungamalengaurn:ogc:def:crs:EPSG::3273635.06939745543702 -7.871540452779270535.1206965396733 -7.797496026061434geonode:tungamalenga_waterwaysThis data set was created during participatory mapping activities in Southern Highlands Tanzania. The purpose of the data was to help the analysis for the development of research papers.featuresTungamalengatungamalenga_waterwaysurn:ogc:def:crs:EPSG::3273635.07949092571134 -7.84911057946191635.120176685331835 -7.796518161049702geonode:tungamalenga_500_lscharThis data set was created during participatory mapping activities in Southern Highlands Tanzania. The purpose of the data was to help the analysis for the development of research papers.Tungamalengafeaturestungamalenga_500_lscharurn:ogc:def:crs:EPSG::3273635.06681459162393 -7.87742343463210435.12609854752434 -7.80481377342392geonode:tungamalenga_lulcThis data set was created during participatory mapping activities in Southern Highlands Tanzania. The purpose of the data was to help the analysis for the development of research papers.tungamalenga_lulcfeaturesTungamalengaurn:ogc:def:crs:EPSG::3273635.06677870555523 -7.877441550686473435.12609863915747 -7.804831711384936geonode:unguja_shehia_corrected_updateThis layer represents all Wards (Shehias in Swahili) of Unguja Island. Ward is the smallest geographical administrative unit in Zanzibar. The boundaries are officially determined by the Revolutionary Government of Zanzibar. Original data source: Tanzania National Bureau of Statistics. Access: https://www.nbs.go.tz/index.php/en/census-surveys/population-and-housing-census/173-2012-phc-shapefiles-level-threeungujaunguja_shehia_corrected_updateshehiafeatureswardsurn:ogc:def:crs:EPSG::2103739.18132764938562 -6.478379597671569539.58045545081221 -5.72168395982856geonode:unguja_island_orthophoto_infogridHigh-resolution, 3-band, true color orthophotos covering the Zanzibar Unguja island. A single image covers the area of max 3x3km. Images were mapped with drones. Spatial resolution varies between 2.5cm, 5cm, 7cm and 8cm: users are advised to check the resolution of a specific image from image properties. Drone images can be used e.g. as basemaps, reference images or for image analysis. Images were captured during Zanzibar Mapping Initiative project, in collaboration between Tanzania Commission for Science and Technology (COSTECH), Zanzibar Commission for Lands (COLA), State University of Zanzibar (SUZA), DA, Spatialinfo, OBSCOM, Sensefly/Parrot Company and The World Bank. The data can be downloaded here: https://seafile.utu.fi/d/8da39af32e6e4ba59182/featuresunguja_island_orthophoto_infogridurn:ogc:def:crs:EPSG::3273739.17811879198595 -6.50298840561231939.58537404051361 -5.715695765796133geonode:zanzibar_government_forestsThis dataset represents government owned forests in Pemba and Unguja islands of Zanzibar. Data was created during the ZEIMS (Zanzibar Environmental Information System) project.featuresforestszanzibar_government_forestsenvironmentZanSeaurn:ogc:def:crs:EPSG::3273739.22043368448776 -6.28245105464116739.8762413808651 -4.88709884314647geonode:shehias_e00a838ff2a1068ed2992ee960f32e80Lowest administrative areas in Zanzibar Urban West. Wards (shehias in Swahili). This dataset is part of the "Unguja Island Administrative Wards" dataset, also available in the Climate risk Database. The boundaries are officially determined by the Revolutionary Government of Zanzibar. Original data source: Tanzania National Bureau of Statistics. Access: https://www.nbs.go.tz/index.php/en/census-surveys/population-and-housing-census/173-2012-phc-shapefiles-level-threeadministationshehias_e00a838ff2a1068ed2992ee960f32e80featuresurn:ogc:def:crs:EPSG::3273739.185568195417474 -6.19556143357972339.22676785912356 -6.137932845198234geonode:all_amenitiesThis data set contains all amenities in 42 Wards in the Zanzibar Urban West in 2019. Amenities are, for example, clinics, banks, restaurants and other businesses. This data set was collected by the students of State University of Zanzibarfeaturesall_amenitiesurn:ogc:def:crs:EPSG::3273739.186004177346476 -6.20956768133841139.226652853790554 -6.137222851428813geonode:buildingsaoi0Building footprints of Zanzibar Urban West Region.featuresbuildingsaoi0buildingsurn:ogc:def:crs:EPSG::3273739.1856785458722 -6.19749826794846939.2266730212205 -6.134073269929412geonode:drainage_point_featuresThis shows the locations of point features directly linked to drainage. For example, the locations of water inflows into drainage lines.building outflowdrainage_point_featuresmanholeDrainagepipe inflowfeaturesdrainurn:ogc:def:crs:EPSG::3273739.19144339818008 -6.18572777636596139.225886383281846 -6.141743463280701geonode:man_made_features_b31fa061ba9e51f68f356089f42f33e7Dataset showing the locations of man made features in Urban West. These features are tagged as man made based on OpenStreetMap classification.man mademan_made_features_b31fa061ba9e51f68f356089f42f33e7water tankfeatureswater wellcommunications tower etcurn:ogc:def:crs:EPSG::3273739.188005882531066 -6.186329500283016539.22428340684214 -6.134441045622351geonode:playgroundsThis shows the locations of open areas within Urban West that are predominantly used as play grounds.leisurefeaturesopen spacesplaygroundsurn:ogc:def:crs:EPSG::3273739.18801724209847 -6.17658925252680739.22286835125188 -6.156705808851448geonode:shops_f67e871ec1e882384b067ea3dd8fbc82Locations of places of business in Urban West.shops_f67e871ec1e882384b067ea3dd8fbc82amenityretailfeaturesshopurn:ogc:def:crs:EPSG::3273739.18614251109919 -6.20969572985778939.22685250716532 -6.139554816339974geonode:road_networkThe road network of Zanzibar Urban West categorized according to the OpenStreetMap highway classification.featuresroad networkhighwaystreetsroad_networkroadspathsurn:ogc:def:crs:EPSG::3273739.18611337174827 -6.21336623442382739.22733312695117 -6.1328871647457355geonode:trees_ad4fd8bef864d665041c2b4aad402a3cThe distribution of trees in Urban West as digitized from high resolution drone imagery.vegetationnaturalfeaturestreetrees_ad4fd8bef864d665041c2b4aad402a3ctreesurban ecologyurn:ogc:def:crs:EPSG::3273739.189105737380046 -6.20277131317162939.22652121849624 -6.135205050047756geonode:water_bodiesThis shows the locations of waterbodies.featureswater_bodiesurn:ogc:def:crs:EPSG::3273739.215406780291964 -6.181376982177531539.22348964019443 -6.16366372715208geonode:contour_2mContour 2m dataset contains spatial data used for the Mwanza Master Plan. The data was collected from various sources, including field surveys, government agencies, and satellite imagery. It supports planning, infrastructure development, and urban management. Methodology included digitization, remote sensing, and validation through stakeholder engagement.2mfeaturescontour_2mContoururn:ogc:def:crs:EPSG::2103632.8605000209857 -2.66290231872678733.03508920315421 -2.367271428229444geonode:district_boundaries_9a3af830e8c06df98d4319c7d480c52176b4cc56e5featuresdistrict_boundaries_9a3af830e8c06df98d4319c7d480c52176b4cc56e5urn:ogc:def:crs:EPSG::2103632.86050831451561 -2.713705511191184533.08198685006592 -2.363435770613485geonode:gadm36_tza_3featuresgadm36_tza_3urn:ogc:def:crs:EPSG::432629.327167510986442 -11.74569511413568540.44513702392584 -0.98578751087183geonode:shopsfeaturesshopsurn:ogc:def:crs:EPSG::3273739.18614251109919 -6.20969572985778939.22685250716532 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