Burundi populaion 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, 10:46 (+0200)
Created July 18, 2025, 10:46 (+0200)
access_constraints ["Not Specified: The original author did not specify a license.", "None"]
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bbox-south-lat -4.469583114
bbox-west-long 29.000416566
contact-email developer@icpac.net
coupled-resource []
dataset-reference-date [{"type": "publication", "value": "2019-10-16T00:53:00Z"}]
frequency-of-update
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licence []
lineage None
metadata-date 2022-08-03T13:15:53Z
metadata-language eng
progress completed
resource-type dataset
responsible-party [{"name": "IGAD Climate Prediction and Applications Centre", "roles": ["originator"]}]
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