This article gives a systematic investigation of location-based similarity
between regular regions. Starting from reasonable conditions for such measu
res, it is shown that there is only a finite number of location properties
to be compared. The complete set of combinations is presented, and their be
haviour and interpretability are discussed.
Similarity measures are needed for all kinds of matching problems, includin
g merging spatial data sets, change detection, and generalization. However,
the measures are empirical measures. Therefore, measures found in literatu
re seem to be chosen at random. With this synopsis, I show the differences
of behaviour for all available choices. (C) 2000 Elsevier Science B.V. All
rights reserved.