Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data

High resolution, contemporary data on human population distributions are vital for measuring impacts of population growth, monitoring human-environment interactions and for planning and policy development. Many methods are used to disaggregate census data and predict population densities for finer s...

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Publicat a:PLoS One
Autors principals: Stevens, Forrest R., Gaughan, Andrea E., Linard, Catherine, Tatem, Andrew J.
Format: Artigo
Idioma:Inglês
Publicat: Public Library of Science 2015
Matèries:
Research Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4331277/
https://ncbi.nlm.nih.gov/pubmed/25689585
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0107042
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