Matrix Comparison, Goodness-of-Fit, and Spatial Interaction Modeling-Reference-Cited by-同舟云学术

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

Published:1986-08 Issue:2 Volume:10 Page:127-147
ISSN:0160-0176
Container-title:International Regional Science Review
language:en
Short-container-title:International Regional Science Review

Author:

Knudsen Daniel C.¹,Fotheringham A. Stewart²

Affiliation:

1. Department of Geography, Indiana University, Bloomington, Indiana 47405 USA

2. Department of Geography, University of Florida, Gainesville, Florida 32611 USA

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.

Publisher

SAGE Publications

Subject

General Social Sciences,General Environmental Science

Link

http://journals.sagepub.com/doi/pdf/10.1177/016001768601000203

Reference45 articles.

1. The Testing of Hypotheses on Interaction Data Matrices

2. Algorithm 11: Information Statistics for Comparing Predicted and Observed Trip Matrices

3. CALIBRATION OF PRODUCTION-CONSTRAINED TRIP DISTRIBUTION MODELS AND THE EFFECT OF INTERVENING OPPORTUNITIES

4. Models of recreational trip distribution

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