Aggregation in continuous space coverage modeling

Daoqin Tong, Richard L. Church

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

Abstract

Uncertainties and errors associated with aggregation have long been recognized in the study of spatial problems. In facility location modeling, while much has been done to examine the aggregation of large datasets of discrete points, errors and uncertainties involved in aggregating continuous spatial units are not well understood. This study focuses on the effects of aggregating continuous spatial units into discrete points within the context of the location set covering problem. We propose new measures to understand and quantify errors associated with a continuous aggregation scheme. In a real-world application, the proposed methods can be used to suggest an appropriate aggregation scheme before the application of the location model. We demonstrate the concepts developed here with an empirical study of siting emergency warning sirens in the city of Dublin, OH.

Original languageEnglish (US)
Pages (from-to)795-816
Number of pages22
JournalInternational Journal of Geographical Information Science
Volume26
Issue number5
DOIs
StatePublished - May 1 2012

Keywords

  • aggregation effect
  • continuous space
  • location set covering problem
  • representing geographic space

ASJC Scopus subject areas

  • Information Systems
  • Geography, Planning and Development
  • Library and Information Sciences

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