Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data
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چکیده
منابع مشابه
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 scale, gridded population data sets. We present a new semi-automated dasymetric modeling approach ...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2015
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0107042