Djibouti 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, 11:01 (+0200)
Created July 18, 2025, 11:01 (+0200)
access_constraints ["Not Specified: The original author did not specify a license.", "None"]
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bbox-north-lat 12.707083484
bbox-south-lat 10.914583491
bbox-west-long 41.771249848
contact-email developer@icpac.net
coupled-resource []
dataset-reference-date [{"type": "publication", "value": "2019-10-16T00:57:00Z"}]
frequency-of-update
graphic-preview-description Thumbnail for 'Djibouti Population 2019'
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licence []
lineage None
metadata-date 2022-08-03T13:17:53Z
metadata-language eng
progress completed
resource-type dataset
responsible-party [{"name": "IGAD Climate Prediction and Applications Centre", "roles": ["originator"]}]
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