Matrix Comparison, Goodness-of-Fit, and Spatial Interaction Modeling

Daniel C. Knudsen, A. Stewart Fotheringham

Research output: Contribution to journalArticlepeer-review

86 Scopus citations

Abstract

The usefulness of various statistics for comparing observed and predicted spatial interaction matrices is examined. Results indicate that some statistics may yield misleading information about error levels in predicted matrices. Other statistics are found to be unsuitable for significance testing. The concept of experimental distributions is discussed for several of the statistics. Although framed in the context of spatial interaction modeling, the discussion is relevant to most matrix comparison problems.

Original languageEnglish (US)
Pages (from-to)127-147
Number of pages21
JournalInternational Regional Science Review
Volume10
Issue number2
DOIs
StatePublished - Aug 1986
Externally publishedYes

ASJC Scopus subject areas

  • Environmental Science(all)
  • Social Sciences(all)

Fingerprint Dive into the research topics of 'Matrix Comparison, Goodness-of-Fit, and Spatial Interaction Modeling'. Together they form a unique fingerprint.

Cite this