2003/02/01 by Jeremy Mennis · 2 citations
Environmental Science · Social Sciences · #Human Mobility and Location-Based Analysis #Impact of Light on Environment and Health #Land Use and Ecosystem Services
paper · doi:10.1111/0033-0124.10042
crossref issued 2003/02/01 · crossref published 2003/02/01 · crossref published-print 2003/02/01 · openalex publication_date 2003/02/01 · crossref published-online 2008/02/29 · crossref created 2023/01/04 · openalex created_date 2025/10/10 · crossref deposited 2026/02/06 · openalex updated_date 2026/07/29 · crossref indexed 2026/07/30
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.