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A note on the use of correlation coefficients for assessing goodness-of-fit in spatial interaction models

✍ Scribed by William R. Black

Publisher: Springer US
Year: 1991
Tongue: English
Weight: 367 KB
Volume: 18
Category: Article
ISSN: 0049-4488
DOI: 10.1007/bf00172935

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✦ Synopsis

The use of correlation coefficients to evaluate the accuracy of spatial interaction models is inappropriate unless such models have been fitted using least squares techniques. In other cases the correlation involves an implicit intercept value and a regression coefficient that may significantly modify the interaction model's estimates. Researchers have not acknowledged the role of these two parameters when the correlation is used. A generalized root mean square error is proposed as an alternative indicator of accuracy that may be used with any model.

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