Predicting Poverty Using Geospatial Data in Thailand
Poverty statistics are conventionally compiled using data from socioeconomic surveys. This study examines an alternative approach to estimating poverty by investigating whether readily available geospatial data can accurately predict the spatial distribution of poverty in Thailand. In particular, th...
Main Authors: | Nattapong Puttanapong, Arturo Martinez, Joseph Albert Nino Bulan, Mildred Addawe, Ron Lester Durante, Marymell Martillan |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-04-01
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Series: | ISPRS International Journal of Geo-Information |
Subjects: | |
Online Access: | https://www.mdpi.com/2220-9964/11/5/293 |
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