Effectiveness of Remotely Sensed Built Areas for Constraining and Modelling Gridded Population Estimates - Script Samples and Data
Effectiveness of Remotely Sensed Built Areas for Constraining and Modelling Gridded Population Estimates - Script Samples and Data
These data present the effectiveness of three different high-resolution built area datasets for producing gridded population estimates through the dasymetric disaggregation of census counts in Haiti, Malawi, Madagascar, Nepal, Rwanda, and Thailand. Modeling techniques include a binary dasymetric redistribution, random forest with dasymetric component, and a hybrid of the previous two.
University of Southampton
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
WorldPop,
(2018)
Effectiveness of Remotely Sensed Built Areas for Constraining and Modelling Gridded Population Estimates - Script Samples and Data.
University of Southampton
doi:10.5258/SOTON/WP00643
[Dataset]
Abstract
These data present the effectiveness of three different high-resolution built area datasets for producing gridded population estimates through the dasymetric disaggregation of census counts in Haiti, Malawi, Madagascar, Nepal, Rwanda, and Thailand. Modeling techniques include a binary dasymetric redistribution, random forest with dasymetric component, and a hybrid of the previous two.
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Published date: 16 August 2018
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WorldPop
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Local EPrints ID: 424904
URI: http://eprints.soton.ac.uk/id/eprint/424904
PURE UUID: 8c52d7dd-4b63-4c86-92a4-5236d1c50b88
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Date deposited: 05 Oct 2018 12:13
Last modified: 05 May 2023 14:37
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