- Title
- Dar es Salaam Drains
- License
- CC-BY 4.0 International (CC-BY 4.0)
-
+ Attribution: <Title of the data layer> by <the owner> via Climate Risk Database, <date of layer creation>, shared under license CC-BY 4.0.
+ Example: Dar es Salaam Buildings by The World Bank via Climate Risk Database, 23/09/2019, shared under license CC-BY 4.0.
+ Remember to add hyperlinks to the layer title and license.
+
+ You are free to share and adapt the material for any purpose, even commercially, under the attribution condition. You must give appropriate credit, provide link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or by your use. If the author of this dataset has set any other conditions, see more details from the dataset’s supplemental information.
+ For more info see https://creativecommons.org/licenses/by/4.0/. - Abstract
Drainage data of 31 out of 44 wards of the city (ongoing process). Drain points and segments traced by using ODK Collect application.
- Creation Date
- Aug. 1, 2017, noon
- Type
- Vector Data
- Keywords
- drain , Drainage , flood , resilience
- Category
- Drainage Infrastructure
- Drainage Infrastructure
- Regions
- United Republic of Tanzania
- Group
- The World Bank
- Maintenance Frequency
- There Are No Plans To Update The Data
- Restrictions
- formal permission to do something
- Edition
- First
- Language
- English
- Data Quality
- Drainage data collected in the most flood prone areas across Dar es Salaam using cheap and practical methods. This information will be used to develop a flood model which requires accurately collected specifications of drains such as depth, width, blockage (by either vegetation or material), connectivity, and diameter (typically for culverts). The data can be used for the development of the Dar es Salaam flood model
- Supplemental Information
EPSG:4326 - WGS 84 - Geographic; 46 wards of Dar es Salaam
- Spatial Representation Type
- vector data is used to represent geographic data
Comments (0 total)
Log in to add a comment