Global Input Data
Global Input Data
Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets
Human population, Sub-national, Global, Spatial dataset, Multi-temporal
University of Southampton
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Abstract
Global Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets
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Published date: 2019
Keywords:
Human population, Sub-national, Global, Spatial dataset, Multi-temporal
Identifiers
Local EPrints ID: 431076
URI: http://eprints.soton.ac.uk/id/eprint/431076
PURE UUID: ef1e6bb6-e4ec-47da-9a49-e90024b00cc9
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Date deposited: 22 May 2019 16:31
Last modified: 05 May 2023 15:07
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WorldPop
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