Predicting poverty using geospatial data in Thailand
Year of publication: |
[2020]
|
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Authors: | Puttanapong, Nattapong ; Martinez, Arturo M. ; Addawe, Mildred ; Bulan, Joseph ; Durante, Ron Lester ; Martillan, Marymell |
Publisher: |
Metro Manila, Philippines : Asian Development Bank |
Subject: | big data | computer vision | data for development | machine learning algorithm | multidimensional poverty | official statistics | poverty | SDG | Thailand | Armut | Poverty | Messung | Measurement | Big Data | Big data | Statistische Methode | Statistical method | Prognoseverfahren | Forecasting model | Datenerhebung | Data collection | Künstliche Intelligenz | Artificial intelligence | Data Mining | Data mining |
Extent: | 1 Online-Ressource (circa 38 Seiten) Illustrationen |
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Series: | ADB economics working paper series. - Manila : [Verlag nicht ermittelbar], ISSN 2313-6545, ZDB-ID 2508948-1. - Vol. no. 630 (December 2020) |
Type of publication: | Book / Working Paper |
Type of publication (narrower categories): | Graue Literatur ; Non-commercial literature ; Arbeitspapier ; Working Paper |
Language: | English |
Other identifiers: | 10.22617/WPS200434-2 [DOI] hdl:10419/246707 [Handle] |
Classification: | C19 - Econometric and Statistical Methods: General. Other ; D31 - Personal Income, Wealth and Their Distributions ; I32 - Measurement and Analysis of Poverty ; O15 - Human Resources; Income Distribution; Migration |
Source: | ECONIS - Online Catalogue of the ZBW |
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