Data (Information)

GRID3 Rwanda Settlement Extents, Version 02

Center for International Earth Science Information Network; Novel-T

The dataset consists of settlement extents across Rwanda, as well as accompanying settlement type based on the degrees of urbanization, place codes, and confidence level for each settlement extent.

Updates in this version include:
(1) The degree of urbanisation has replaced the previous classifications of built-up areas, small settlement areas, and hamlets
(2) Boundary names have been removed, since the OCHA dataset is not an official set of boundaries and may not be accurate
(3) Building count ranges have been included
(4) Predicted false positives have been included
(5) Population data have been removed until new constrained population numbers are available
(6) Settlement status has been included, as it pertains to Version 01 of the settlement extents

This work has been undertaken as part of the Geo-Referenced Infrastructure and Demographic Data for Development (GRID3) programme. The programme is funded by the Bill & Melinda Gates Foundation and the United Kingdom's Foreign, Commonwealth & Development Office. It is implemented by the Flowminder Foundation, WorldPop at the University of Southampton, the United Nations Population Fund, and the Center for International Earth Science Information Network (CIESIN) at Columbia University.

Keywords: Settlements, Hamlets, Built-up Areas (BUA), Small Settlement Areas (SSA), Settlement Extents

Geographic Areas


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More About This Work

Academic Units
Center for International Earth Science Information Network
Published Here
October 26, 2022

Related Items


Dataset citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2023. GRID3 Rwanda Settlement Extents, V02. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). Accessed DAY MONTH YEAR.

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The “GRID3 Rwanda, Version 02” is a derivative work from Digitize Africa, Ecopia Landbase Africa powered by Maxar Ecopia AI under the Ecopia DigitizeAfrica Humanitarian License (}

Copyright 2023. The Trustees of Columbia University in the City of New York.

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