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A Population Spatialization Model at the Building Scale Using Random Forest

A Population Spatialization Model at the Building Scale Using Random Forest

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_652c7b8e4c554f27a4001fa25db0ea98

A Population Spatialization Model at the Building Scale Using Random Forest

About this item

Full title

A Population Spatialization Model at the Building Scale Using Random Forest

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-04, Vol.14 (8), p.1811

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Population spatialization reveals the distribution and quantity of the population in geographic space with gridded population maps. Fine-scale population spatialization is essential for urbanization and disaster prevention. Previous approaches have used remotely sensed imagery to disaggregate census data, but this approach has limitations. For exam...

Alternative Titles

Full title

A Population Spatialization Model at the Building Scale Using Random Forest

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_652c7b8e4c554f27a4001fa25db0ea98

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_652c7b8e4c554f27a4001fa25db0ea98

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14081811

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