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A Guidebook on Mapping Poverty through Data Integration and Artificial Intelligence
Paperback
$47.00
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This guidebook identifies tools and resources that can help generate poverty statistics using satellite imagery, geospatial data, and machinelearning algorithms to augment conventional data collection and sample survey techniques.
The "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators to be estimated for different segments of a country's population. The guidebook was based on a feasibility study by ADB, in collaboration with the Ph...
The "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators to be estimated for different segments of a country's population. The guidebook was based on a feasibility study by ADB, in collaboration with the Ph...
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