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wpgpRFPMS: WorldPop Random Forests population modelling R scripts , version 0.1.0

wpgpRFPMS: WorldPop Random Forests population modelling R scripts , version 0.1.0
wpgpRFPMS: WorldPop Random Forests population modelling R scripts , version 0.1.0
wpgpRFPMS is a population modelling R script utilizing Random Forests to inform a dasymetric redistribution of census-based population count data. Random Forest based dasymetric mapping approach developed by Stevens et al. Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data. PLoS ONE 10, e0107042 (2015).
Random Forests, population, modelling scripts, dasymetric redistribution, population count
University of Southampton
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Nieves, Jeremiah, Joseph
2b5f2f25-afc0-4585-8531-dc2acc4b3511
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Stevens, Forrest R.
7c96c2ef-edac-41a1-be26-c4bc5b3256a6
Gaughan, Andrea E.
395221c6-1091-4657-af7e-bd6cb93dbaf9
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Nieves, Jeremiah, Joseph
2b5f2f25-afc0-4585-8531-dc2acc4b3511
Sorichetta, Alessandro
c80d941b-a3f5-4a6d-9a19-e3eeba84443c
Stevens, Forrest R.
7c96c2ef-edac-41a1-be26-c4bc5b3256a6
Gaughan, Andrea E.
395221c6-1091-4657-af7e-bd6cb93dbaf9
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8

Bondarenko, Maksym, Nieves, Jeremiah, Joseph and WorldPop, (2018) wpgpRFPMS: WorldPop Random Forests population modelling R scripts , version 0.1.0. University of Southampton doi:10.5258/SOTON/WP00665 [Dataset]

Record type: Dataset

Abstract

wpgpRFPMS is a population modelling R script utilizing Random Forests to inform a dasymetric redistribution of census-based population count data. Random Forest based dasymetric mapping approach developed by Stevens et al. Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data. PLoS ONE 10, e0107042 (2015).

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More information

Published date: 1 November 2018
Related URLs:
Keywords: Random Forests, population, modelling scripts, dasymetric redistribution, population count
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Identifiers

Local EPrints ID: 439689
URI: http://eprints.soton.ac.uk/id/eprint/439689
DOI: doi:10.5258/SOTON/WP00665
PURE UUID: a79de93d-b2fa-4a99-a766-4bbc1f3b8a7e
ORCID for Maksym Bondarenko: ORCID iD orcid.org/0000-0003-4958-6551
ORCID for Alessandro Sorichetta: ORCID iD orcid.org/0000-0002-3576-5826
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 29 Apr 2020 16:31
Last modified: 19 Jan 2024 02:46

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Contributors

Creator: Maksym Bondarenko ORCID iD
Creator: Jeremiah, Joseph Nieves
Contributor: Alessandro Sorichetta ORCID iD
Contributor: Forrest R. Stevens
Contributor: Andrea E. Gaughan
Contributor: Andrew Tatem ORCID iD
Creator: WorldPop

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