Ivory Coast - Substations (2017)
Abstract/Contents
- Abstract
- Data collected and prepared for a project of the World Bank Group in February 2017. Includes transmission lines, substations, as well as power stations. Includes existing as well as planned projects. Some existing lines extracted from OSM data © OpenStreetMap contributors. The majority of the data is based on a digitized PDF map, and so is intended as a schematic of rough locations of the power network. It is not suitable for applications requiring high accuracy.
- Purpose
- The World Bank and the International Finance Corporation, collectively the World Bank Group (WBG) strives to enhance public access to and use of data that can support development impact.
Description
Type of resource | cartographic, software, multimedia |
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Form | Shapefile |
Extent | 0.002 |
Place | Washington, D.C., US |
Publisher | World Bank Group |
Publication date | 2017 |
Language | English |
Digital origin | born digital |
Map data | Scale not given. ; Custom projection W 8°23ʹ56ʺ--W 2°48ʹ23ʺ/N 10°28ʹ47ʺ--N 4°43ʹ40ʺ, Scale not given ; EPSG::4326 |
Creators/Contributors
Creator | World Bank Group |
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Subjects
Subject | Electric substations |
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Subject | Côte d'Ivoire |
Subject | 2017 |
Subject | Utilities and Communication |
Genre | Geospatial data |
Genre | Cartographic dataset |
Bibliographic information
WGS84 Cartographics | This layer is presented in the WGS84 coordinate system for web display purposes. Downloadable data are provided in native coordinate system or projection. |
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Location | https://purl.stanford.edu/rs046vc3669 |
Access conditions
- Use and reproduction
- This material may be shared or adapted provided appropriate credit is given to the originator, and the same license is used.
- License
- This work is licensed under a Creative Commons Attribution Share Alike 4.0 International license (CC BY-SA).
Preferred citation
- Preferred citation
- World Bank Group. (2017). Ivory Coast - Substations (2017) World Bank Group. Available at: http://purl.stanford.edu/rs046vc3669
Collection
World Bank GIS Datasets
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