Abstract
Map comparison/integration of spatial data has become important recently with the plethora of data being generated and accumulated. In many instances it is of interest to compare/integrate these data. The simplest comparative procedure is to overlay two maps and visually compare the areas of similarity and differences. This cursory examination is quick, but important aspects of the comparison may be overlooked. The simplest integration procedure is to overlay several maps and note the areas of correspondence on a resultant map. This type of comparison/integration is visual and subjective; quantatively, the degree of similarity may be expressed either (1) as a coefficient of overall similarity or (2) as a resultant map. The similarity coefficient gives an indication as to the goodness of correspondence and the resultant map shows where. Several techniques of pairwise map comparison have been utilized recently including bivariate and multivariate statistics, probability, AI/ES (Boolean logic), algebraic, and fuzzy set theory. A geothermal data set from southeastern Kansas is used to demonstrate pairwise map comparison with other spatial geological and geophysical data and to interpret local and regional conditions.
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© 1996 Plenum Press, New York
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Merriam, D.F., Herzfeld, U.C., Förster, A. (1996). Pairwise Comparison of Spatial Map Data. In: Geologic Modeling and Mapping. Computer Applications in the Earth Sciences. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-0363-3_11
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DOI: https://doi.org/10.1007/978-1-4613-0363-3_11
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