Placeholder text
Mapping the Spatial Distribution of Poverty in Maldives
0 - Default Title
Description
It explains how SAE can generate granular poverty estimates using household survey and census data, and how machine learning including convolutional neural networks were developed using a model trained on Indonesian data. The report highlights inconsistencies and challenges such as limited sample sizes and shows how developing localized models and synchronizing data collection could help Maldives improve its poverty mapping to drive equitable and targeted interventions.
Product details
Binding:
Paperback
Number of Pages:
68
Release Date:
2025-12-19
Publication Date:
2025-12-19
Publisher:
Asian Development Bank
Languages:
Original:
English
ISBN10:
9292775677
ISBN13:
9789292775674
Weight:
280 g
Height:
216 cm
Width:
280 cm
Thickness:
5 cm
Currently sold out