Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand
(eBook)
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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.
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Grouped Work ID | 1dcc962e-fcd2-ccc5-3767-a7f5e0685504-eng |
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Full title | mapping the spatial distribution of poverty using satellite imagery in thailand |
Author | authors various |
Grouping Category | book |
Last Update | 2023-03-30 19:03:18PM |
Last Indexed | 2024-04-27 02:33:44AM |
Book Cover Information
Image Source | hoopla |
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First Loaded | Jan 24, 2024 |
Last Used | Jan 24, 2024 |
Hoopla Extract Information
stdClass Object ( [year] => 2021 [artist] => Various Authors [fiction] => [coverImageUrl] => https://cover.hoopladigital.com/csp_9789292627690_270.jpeg [titleId] => 14930763 [isbn] => 9789292627690 [abridged] => [language] => ENGLISH [profanity] => [title] => Mapping the Spatial Distribution of Poverty Using Satellite Imagery in Thailand [demo] => [segments] => Array ( ) [pages] => 68 [children] => [artists] => Array ( [0] => stdClass Object ( [name] => Various Authors [artistFormal] => Various Authors, [relationship] => AUTHOR ) ) [genres] => Array ( [0] => Business & Economics [1] => Poverty & Homelessness [2] => Remote Sensing & Geographic Information Systems [3] => Social Science [4] => Statistics [5] => Technology & Engineering ) [price] => 0.69 [id] => 14930763 [edited] => [kind] => EBOOK [active] => 1 [upc] => [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. [url] => https://www.hoopladigital.com/title/14930763 [pa] => [publisher] => Asian Development Bank [purchaseModel] => INSTANT )