Integrating BP and MGWR-SL Model to Estimate Village-Level Poor Population: An Experimental Study from Qianjiang, China

Wang, Yanhui; Zhang, Jianchen

doi:10.1007/s11205-017-1681-6

Cited by 3 publications

(2 citation statements)

References 22 publications

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“…However, some scholars have attempted to conduct relevant studies. Wang and Zhang (2018) first estimated the incidence of poverty in the Qianjiang district of Chongqing, China, and based on this, mapped the gridded poor population distribution. Jasper et al (2022) produced a gridded map of the prevalence of young children (under 2 years old) with severe acute malnutrition in Papua, Indonesia.…”

Section: Research Prospectmentioning

confidence: 99%

“…However, some scholars have attempted to conduct relevant studies. Wang and Zhang (2018) Subpopulation count maps can be obtained by overlaying the subpopulation ratio (i.e., as a proportion of the total population) maps obtained from these studies with the population count maps. The choice of subpopulation ratio as the dependent variable may be better correlated with the auxiliary data than the choice of subpopulation counts or density as the dependent variable.…”

Section: Spatial Distribution Of Subpopulationsmentioning

confidence: 99%

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From auxiliary data to research prospects, a review of gridded population mapping

Lei

Xie

Cheng

et al. 2023

Transactions in GIS

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Population has significant application value and scientific significance in resource use, public health, public transportation, disaster assessment, and environmental management. However, traditional census data can not show the population density difference within census units. Furthermore, census data are not uniform across countries, and reconciling these differences when using data from multiple countries require considerable effort. Finally, there are scale differences between census and geospatial data (e.g., land use/cover), making data analysis and needed research difficult. These challenges significantly limit the applications of census data. The advent of gridded population mapping (GPM) technology has overcome these challenges. GPM technology has developed rapidly in recent years. The research data and models are rich and diverse, and many achievements have been made. A systematic review of the current state of GPM research will help relevant researchers and data users. This article begins by summarizing the core elements of GPM research in four aspects: auxiliary data, models, accuracy, and products. It will then go on to four problems prevalent in GPM research that have direct or indirect effects on the accuracy of GPM. Finally, the article prospects GPM research from four different aspects based on the current state of research.

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Section: Research Prospectmentioning

confidence: 99%

Section: Spatial Distribution Of Subpopulationsmentioning

confidence: 99%