Rwanda Population 2019

combination of remotely-sensed and geospatial data that contribute to the modeled dasymetric weights and then use the Random Forest model to generate a gridded prediction of population density at ~100 m spatial resolution

Data and Resources

Additional Info

Field Value
Last Updated July 18, 2025, 11:11 (+0200)
Created July 18, 2025, 11:11 (+0200)
access_constraints ["Not Specified: The original author did not specify a license.", "None"]
bbox-east-long 30.896249892
bbox-north-lat -1.045416461
bbox-south-lat -2.838749787
bbox-west-long 28.857083233
contact-email developer@icpac.net
coupled-resource []
dataset-reference-date [{"type": "publication", "value": "2019-10-16T01:09:00Z"}]
frequency-of-update
graphic-preview-description Thumbnail for 'Rwanda Population 2019'
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graphic-preview-type image/png
guid 9b903cab-d913-484a-9141-70e7a4467334
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harvest_source_title ICPAC Geoportal CSW Harvester
licence []
lineage None
metadata-date 2022-08-03T13:36:30Z
metadata-language eng
progress completed
resource-type dataset
responsible-party [{"name": "IGAD Climate Prediction and Applications Centre", "roles": ["originator"]}]
spatial {"type": "Polygon", "coordinates": [[[28.857083233, -2.838749787], [30.896249892, -2.838749787], [30.896249892, -1.045416461], [28.857083233, -1.045416461], [28.857083233, -2.838749787]]]}
spatial-data-service-type
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