Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets

Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets

Multi-temporal, globally consistent, high-resolution human population datasets provide consistent and comparable population distributions in support of mapping sub-national heterogeneities in health, wealth, and resource access, and monitoring change in these over time. The production of more reliab...

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Bibliographic Details
Main Authors: Christopher T. Lloyd, Heather Chamberlain, David Kerr, Greg Yetman, Linda Pistolesi, Forrest R. Stevens, Andrea E. Gaughan, Jeremiah J. Nieves, Graeme Hornby, Kytt MacManus, Parmanand Sinha, Maksym Bondarenko, Alessandro Sorichetta, Andrew J. Tatem
Format: Article
Language:English
Published: Taylor & Francis Group 2019-06-01
Series:Big Earth Data
Subjects:
Human population
sub-national
global
spatial dataset
multi-temporal
Online Access:http://dx.doi.org/10.1080/20964471.2019.1625151

Internet

http://dx.doi.org/10.1080/20964471.2019.1625151

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