Generating Surface Models of Population Using Dasymetric Mapping∗

∗The author would like to thank Cory Eicher and Alan MacEacren for many helpful conversations regarding dasymetric mapping and Barbara Buttenfield for her constructive comments on a previous draft of this article.

Abstract

Aggregated demographic datasets are associated with analytical and cartographic problems due to the arbitrary nature of areal unit partitioning. This article describes a methodology for generating a surface-based representation of population that mitigates these problems. This methodology uses dasymetric mapping and incorporates areal weighting and empirical sampling techniques to assess the relationship between categorical ancillary data and population distribution. As a demonstration, a 100-meter-resolution population surface is generated from U.S. Census block group data for the southeast Pennsylvania region. Remote-sensing-derived urban land-cover data serve as ancillary data in the dasymetric mapping.

∗The author would like to thank Cory Eicher and Alan MacEacren for many helpful conversations regarding dasymetric mapping and Barbara Buttenfield for her constructive comments on a previous draft of this article.

Key Words:

• areal interpolation
• dasymetric mapping
• population data
• surface modeling

Notes

∗The author would like to thank Cory Eicher and Alan MacEacren for many helpful conversations regarding dasymetric mapping and Barbara Buttenfield for her constructive comments on a previous draft of this article.