This report analyzes the potential benefits and challenges of machine learning and small area estimation (SAE) to monitor poverty and help tackle inequality in Maldives.
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.
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Paperback. Condition: new. Paperback. This report analyzes the potential benefits and challenges of machine learning and small area estimation (SAE) to monitor poverty and help tackle inequality in Maldives.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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9789292775674
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Taschenbuch. Condition: Neu. Mapping the Spatial Distribution of Poverty in Maldives | Asian Development Bank | Taschenbuch | Englisch | 2025 | Asian Development Bank | EAN 9789292775674 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 134451299