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Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines
Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines
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This report presents the results of a feasibility study on generating high-quality poverty statistics in the Philippines using satellite imagery, geospatial data, and powerful machine-learning algorithms.The "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country's population. Conducted by ADB in collaboration with the Philippine Statistics Authority and the World Data Lab, the study aimed to enhance the…
  • Leidėjas:
  • Metai: 2021
  • Puslapiai: 70
  • ISBN-10: 9292621319
  • ISBN-13: 9789292621315
  • Formatas: 21.6 x 27.9 x 0.5 cm, minkšti viršeliai
  • Kalba: Anglų

Mapping the Spatial Distribution of Poverty Using Satellite Imagery in the Philippines (el. knyga) (skaityta knyga) | knygos.lt

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This report presents the results of a feasibility study on generating high-quality poverty statistics in the Philippines using satellite imagery, geospatial data, and powerful machine-learning algorithms.


The "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country's population. Conducted by ADB in collaboration with the Philippine Statistics Authority and the World Data Lab, the study aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in the Philippines.

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  • Leidėjas:
  • Metai: 2021
  • Puslapiai: 70
  • ISBN-10: 9292621319
  • ISBN-13: 9789292621315
  • Formatas: 21.6 x 27.9 x 0.5 cm, minkšti viršeliai
  • Kalba: Anglų

This report presents the results of a feasibility study on generating high-quality poverty statistics in the Philippines using satellite imagery, geospatial data, and powerful machine-learning algorithms.


The "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country's population. Conducted by ADB in collaboration with the Philippine Statistics Authority and the World Data Lab, the study aimed to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in the Philippines.

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