Environmental Engineering Reference
In-Depth Information
14
Dasymetric mapping for population
and sociodemographic data
redistribution
James B. Holt and Hua Lu
The analysis of geographically referenced sociodemographic data often requires the use of data collected at different
spatial scales and/or different temporal resolutions. In addition, population data that are collected at one spatial
resolution may be unsuitable for a particular research project, and these data must be redistributed to different
spatial units of analysis. Researchers must overcome these challenges by employing a variety of areal interpolation
techniques to make the data spatially compatible. Dasymetric mapping techniques have been demonstrated to be
one means through which this can be achieved successfully. We provide an overview of areal interpolation
techniques with an emphasis on dasymetric mapping. We illustrate an example in which population estimates and
sociodemographic data are derived for different spatial units by employing dasymetric mapping methods that rely
upon ancillary data from a variety of sources, including remotely sensed satellite imagery.
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