Examining the correlates and drivers of human population distributions across low- and middle-income countries.
about
Spatially disaggregated population estimates in the absence of national population and housing census data.Methods of Population Spatialization Based on the Classification Information of Buildings from China's First National Geoinformation Survey in Urban Area: A Case Study of Wuchang District, Wuhan City, China
P2860
Examining the correlates and drivers of human population distributions across low- and middle-income countries.
description
2017 nî lūn-bûn
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2017年の論文
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2017年学术文章
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2017年学术文章
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2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
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2017年學術文章
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2017年學術文章
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name
Examining the correlates and d ...... - and middle-income countries.
@en
Examining the correlates and d ...... - and middle-income countries.
@nl
type
label
Examining the correlates and d ...... - and middle-income countries.
@en
Examining the correlates and d ...... - and middle-income countries.
@nl
prefLabel
Examining the correlates and d ...... - and middle-income countries.
@en
Examining the correlates and d ...... - and middle-income countries.
@nl
P2093
P2860
P50
P356
P1476
Examining the correlates and d ...... - and middle-income countries.
@en
P2093
Alessandro Sorichetta
Andrea E Gaughan
Graeme Hornby
Jeremiah J Nieves
Nirav N Patel
P2860
P356
10.1098/RSIF.2017.0401
P577
2017-12-01T00:00:00Z