2023 Data (Information)
GRID3 Eswatini Settlement Extents, Version 02
The dataset consists of settlement extents across Eswatini, 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
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SWZ_DataReleaseStatement_SettlementExtents_Version02.pdf
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GRID3_Eswatini_Settlement_Extents_Version_02.zip
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More About This Work
- Academic Units
- Center for International Earth Science Information Network
- Series
- GRID3
- Published Here
- October 26, 2022
Related Items
- Previous version:
- GRID3 Eswatini Settlement Extents, Version 01.01
Notes
Dataset citation:
Center for International Earth Science Information Network (CIESIN), Columbia University and Novel-T. 2023. GRID3 Eswatini Settlement Extents, V02. Palisades, NY: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3). https://doi.org/10.7916/p21m-xs66. Accessed DAY MONTH YEAR.
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Both the data and data release statement are licensed under a Creative Commons AttributionNonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License (https://creativecommons.org/licenses/by-nc-sa/4.0/) and specified in legal code (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode). These Terms of Use, including the aforementioned Creative Commons license terms, take effect and are legally binding on you, and any on any corporation, government agency or other legal entity for which you are acting as an employee or agent, when you download, access or use the work and these license terms apply to any further distribution of the work or any derivatives of the work you may make.
The “GRID3 Eswatini, Version 02” is a derivative work from Digitize Africa, Ecopia Landbase Africa powered by Maxar Ecopia AI under the Ecopia DigitizeAfrica Humanitarian License (https://digitizeafrica-85c854-e8b1cbfcaf49c6907.webflow.io/digitizeafrica-downsampled-derivatives-license-terms)}
Copyright 2023. The Trustees of Columbia University in the City of New York.
Contacts and Data Queries:
GRID3 appreciates feedback regarding this dataset, including suggestions, discovery of errors, difficulties in using the data, and format preferences.
Please contact: Geo-Referenced Infrastructure and Demographic Data for Development (GRID3), info@ciesin.columbia.edu
