2020 Data (Information)
GRID3 DRC Kongo Central Settlements Points, Version 1
2021.02.05: The data files have been removed from view. Version 2 is forthcoming.
The "GRID3 DRC Kongo Central Settlements Points, Version 1" provides a comprehensive dataset of settlements and their names to help target service delivery and development investments. The Kongo Central settlement layers contain settlement points and name attribute data that fall within the Kongo Central boundary and are divided into built up areas, small settlement areas, and hamlets.
This work has been undertaken as part of the Geo-referenced Infrastructure and Demographic Data for Development (GRID3) initiative in Democratic Republic of the Congo (DRC).
GRID3 works with countries to generate, validate and use geospatial data on population, settlements, infrastructure, and subnational boundaries. For more information, see https://grid3.org/
The data are in shapefile format and consist of a point shapefile with the settlement attributes.
Keywords: Kongo Central, Democratic Republic of the Congo (DRC), Settlements, Geospatial Data, built-up area (BUA), small settlement (SSA), Hamlets, Africa
Geographic Areas
Files
Downloadable resources are currently unavailable for this item.
More About This Work
- Academic Units
- Center for International Earth Science Information Network
- Series
- GRID3
- Published Here
- March 19, 2020
Notes
Data Set Citation:
Bureau Central du Recensement (BCR), Democratic Republic of the Congo, and Center for International Earth Science Information Network (CIESIN), Columbia University. 2020. GRID3 DRC Kongo Central Settlement Point, Version 1. Palisades NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). DOI: https://doi.org/10.7916/d8-42f6-7v44. Accessed DAY MONTH YEAR
Data Use Constraints:
Users are free to use, copy, distribute, transmit, and adapt the work for commercial and non-commercial purposes, without restriction, as long as clear attribution of the source is provided.
Copyright 2020. The Trustees of Columbia University in the City of New York. The data and accompanying document is licensed under a Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0) and specified in legal code (http://creativecommons.org/licenses/by/4.0/legalcode).