Creating a high-resolution spatially-explicit population distribution
Authors: Edward Bright
Dasymetric modeling has been a well-recognized approach for spatial disaggregation of census data. Challenging research issues include disparate and misaligned spatial data integration and modeling to develop databases at a national scale. Examples include existing efforts to address population distribution in space and time, delineating spatial variability of population densities with respect to settlement structures, and demographic and activity characterization through image driven analysis.