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Mapping the Spatial Distribution of Poverty
0 - Default Title
Description
Based on a collaborative study with Statistics Indonesia (BPS) and World Data Lab, the report shows how Indonesia can develop a grid-like poverty map. Computer vision and machine learning can help identify roads, buildings, and vegetation, and that information can be harnessed to estimate poverty levels. The report details poverty reduction efforts in the diverse archipelago and shows how geospatial data can help improve social protection and resource allocation.
Product details
Binding:
Paperback
Number of Pages:
58
Release Date:
2025-12-18
Publication Date:
2025-12-18
Publisher:
Asian Development Bank
Languages:
Original:
English
ISBN10:
9292775642
ISBN13:
9789292775643
Weight:
244 g
Height:
216 cm
Width:
280 cm
Thickness:
4 cm
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