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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Detalles Bibliográficos
Autores principales: Stevens, Forrest R., Gaughan, Andrea E., Linard, Catherine, Tatem, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331277/
https://www.ncbi.nlm.nih.gov/pubmed/25689585
http://dx.doi.org/10.1371/journal.pone.0107042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4331277/
https://www.ncbi.nlm.nih.gov/pubmed/25689585
http://dx.doi.org/10.1371/journal.pone.0107042

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