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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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| Pubblicato in: | PLoS One |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2015
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| Soggetti: | |
| Accesso online: | 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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