The preliminary research on the multidimensional poor information spatial processing and measuring. Abstract: Poverty is an important country to solve the ...
This paper explores the relationship between students' neighborhood characteristics and school performance in Philadelphia's public ... [Show full abstract] ...
Poor Information Spatial Processing and Measuring. Lin Dong1, 2, 3*, Zhuowei ... Multidimensional poverty information spatial dispose. The core of the ...
'Multidimensional poverty measures from an information theory perspective', OPHI Working Paper 10, Oxford Poverty and Human Development Initiative (OPHI) ...
234To - 253 - Poverty & Public Policy. Related Articles: The preliminary research on the multidimensional poor information spatial processing and measuring.
May 17, 2016 · This study could help policymakers better understand the local poverty by identifying the poor, locating them and describing their ...
In this study, we developed a new approach to measure urban poverty using multi-source big data. We used social media data and remote sensing images.
The World Bank's Multidimensional Poverty Measure (MPM) presents a broader understanding of poverty beyond just the monetary dimension.
Missing: preliminary spatial processing
Measuring Multidimensional Poverty: The Axiomatic Approach
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The multidimensional approach identifies poor as those who fall short of a composite threshold of multiple dimension of wellbeing (health, education, standard ...
The study investigates poverty comparisons across the various strata and urban/ rural areas in Cameroon. A composite poverty indicator is constructed using ...