GRID3 Mali Settlement Extents, Version 01.01

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  • This dataset updates: As needed
This dataset is part of the data series [?]: GRID3 - Settlement Extents
Additional information
Time Period of the Dataset [?]
December 20, 2021-February 12, 2025 ... More
Modified [?]
20 December 2021
Dataset Added on HDX [?]
20 December 2021 Less
Expected Update Frequency
As needed
Location
Mali
Source
Center for International Earth Science Information Network; Novel-T
... More
Contributor
GRID3 (Geo-Referenced Infrastructure and Demographic Data for Development)
Methodology

Settlement extents and associated population estimates are derived from two primary input datasets: (1) building footprints and (2) population estimates. Both the settlements’ extents and classification are derived solely from Ecopia’s building footprints. Data analysis and processing were achieved entirely using Esri’s ArcGIS software (Pro version 2.7.3), it’s native module arcpy, and open source python library pandas 1.3.0.

The GRID3 Mali settlement extents are then classified (based on building density) into three classes: built-up areas (BUA), small settlement areas (SSA), and Hamlets (Barau et al., 2014). These three classes of settlement agglomerations are presented below:

Built-up areas (BUAs): A built-up area (BUA) is generally an area of urbanisation with moderately-to-densely-spaced buildings and a visible grid of streets and blocks. BUAs are characterized as polygons that maintain a 100 m2 building density of 13 or more across an area greater than or equal to 0.4 km2.

Small Settlements (SSAs): A small settlement (SSA) is a settled area of permanently inhabited structures and compounds of roughly a few hundred to a few thousand inhabitants. The housing pattern in SSAs is an assemblage of family compounds adjoining other similar habitations. SSAs areas are characterised as polygons containing 50 or more buildings and not a BUA.

Hamlet (HAMLET): A hamlet is a collection of several compounds or sleeping houses in isolation from small settlements or urban areas. Hamlets are characterised as polygons containing between 1 and 49 buildings.

See "Mali GRID3 Settlement Extents Version 01.01.pdf" for more details

Caveats / Comments

GRID3 appreciates feedback regarding this dataset, such as suggestions, discovery of errors, difficulties in using the data, and format preferences.

For dataset-related questions, please send an email to GRID3: data.queries@grid3.org

See “Mali GRID3 Settlement Extents Version 01.pdf" for more details
License
Other :

Users are free to download, store, access, use, copy, adapt, transform, alter, arrange, build upon, distribute and transmit this work and any derivative works based upon the work for humanitarian purposes only. Attribution of the source must be provided, and further distribution of this work or derived work must maintain the same terms of data use and license as set forth in this Terms of Use.

“Humanitarian Purpose” means any non-commercial purpose of supporting operations undertaken to alleviate human suffering caused by events (or series of events) that threaten the health, safety or wellbeing of a large group of people.

Both the data and data release statement are licensed under a Creative Commons Attribution-NonCommercial-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 Mali Settlement Extents, Version 01.01” is a derivative work from Digitize Africa, Ecopia Landbase Africa powered by Maxar Ecopia AI.

Copyright 2021. The Trustees of Columbia University in the City of New York.
Tags
demographics
geodata
populated places-settlements
File Format
Visibility
Public
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