Small area population estimates using random forest top-down disaggregation (Part 2): the popRF 'R' package
Small area population estimates using random forest top-down disaggregation (Part 2): the popRF 'R' package
This R tutorial demonstrates how to use the popRF package to apply the random forest top-down disaggregation to estimate populations at pixel level.
Human population, sub-national, R tutorial, machine learning, random forest
University of Southampton
Lazar, Attila
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Bondarenko, Maksym
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Chamberlain, Heather
cb939de7-ac47-440e-aeb8-a2e36c110785
Jochem, Warren
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Darin, Edith
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Qader, Sarchil
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Tatem, Andrew
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Lazar, Attila
d7f835e7-1e3d-4742-b366-af19cf5fc881
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Chamberlain, Heather
cb939de7-ac47-440e-aeb8-a2e36c110785
Jochem, Warren
ef65df67-4364-4438-92e9-f93ceedb8da1
Darin, Edith
868fa688-2567-4dbd-aa12-3dcc91f2aa8d
Qader, Sarchil
b1afb647-aeff-4bb8-84f2-56865c4eb9e4
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
Lazar, Attila, Bondarenko, Maksym, Chamberlain, Heather, Jochem, Warren, Darin, Edith, Qader, Sarchil and Tatem, Andrew
(2021)
Small area population estimates using random forest top-down disaggregation (Part 2): the popRF 'R' package.
University of Southampton
doi:10.5258/SOTON/WP00727
[Dataset]
Abstract
This R tutorial demonstrates how to use the popRF package to apply the random forest top-down disaggregation to estimate populations at pixel level.
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Published date: 17 November 2021
Keywords:
Human population, sub-national, R tutorial, machine learning, random forest
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Local EPrints ID: 452697
URI: http://eprints.soton.ac.uk/id/eprint/452697
PURE UUID: f8466ce4-a837-4d59-8d42-756483bc7bbc
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Date deposited: 13 Dec 2021 06:01
Last modified: 06 May 2023 02:01
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Creator:
Warren Jochem
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