Generating Surface Models of Population Using Dasymetric Mapping†

  1. Jeremy Mennis

Article first published online: 8 NOV 2004

DOI: 10.1111/0033-0124.10042

Issue

The Professional Geographer

The Professional Geographer

Volume 55, Issue 1, pages 31–42, February 2003

Additional Information

How to Cite

Mennis, J. (2003), Generating Surface Models of Population Using Dasymetric Mapping. The Professional Geographer, 55: 31–42. doi: 10.1111/0033-0124.10042

Author Information

  1. University of Colorado

*JEREMY MENNIS is an assistant professor in the Department of Geography at the University of Colorado, Boulder, CO 80309. E-mail: jeremy@colorado.edu. His research interests are in the design and analysis of geographic databases.

Publication History

  1. Issue published online: 8 NOV 2004
  2. Article first published online: 8 NOV 2004
  3. Initial submission, November 2001; revised submission, June 2002; final acceptance, August 2002

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Keywords:

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

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.

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