Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand
(eBook)

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Published
Asian Development Bank, 2021.
Format
eBook
Status
Available Online

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Language
English
ISBN
9789292627690

Syndetics Unbound

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Citations

APA Citation, 7th Edition (style guide)

Various Authors., & Various Authors|AUTHOR. (2021). Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand . Asian Development Bank.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Various Authors and Various Authors|AUTHOR. 2021. Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand. Asian Development Bank.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Various Authors and Various Authors|AUTHOR. Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand Asian Development Bank, 2021.

MLA Citation, 9th Edition (style guide)

Various Authors, and Various Authors|AUTHOR. Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand Asian Development Bank, 2021.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID1dcc962e-fcd2-ccc5-3767-a7f5e0685504-eng
Full titlemapping the spatial distribution of poverty using satellite imagery in thailand
Authorauthors various
Grouping Categorybook
Last Update2023-08-03 21:00:44PM
Last Indexed2024-04-17 02:22:28AM

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Image Sourcehoopla
First LoadedJul 22, 2023
Last UsedJan 26, 2024

Hoopla Extract Information

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            [1] => Poverty & Homelessness
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    [synopsis] => The "leave no one behind" principle of the 2030 Agenda for Sustainable Development requires appropriate indicators for different segments of a country's population. This entails detailed, granular data on population groups that extend beyond national trends and averages. The Asian Development Bank (ADB), in collaboration with the National Statistical Office of Thailand and the Word Data Lab, conducted a feasibility study to enhance the granularity, cost-effectiveness, and compilation of high-quality poverty statistics in Thailand. This report documents the results of the study, providing insights on data collection requirements, advanced algorithmic techniques, and validation of poverty estimates using artificial intelligence to complement traditional data sources and conventional survey methods.
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