Definition
Interestingness measures for spatial co-location patterns are needed to select from the set of all possible patterns those that are in some (quantitatively measurable) way, characteristic for the data under investigation, and, thus, possibly, provide useful information.
Ultimately, interestingness is a subjective matter, and it depends on the user’s interests, the application area, and the final goal of the spatial data analysis. However, there are properties that can be objectively defined, such that they can often be assumed as desirable. Typically, these properties are based on the frequencies of pattern instances in the data.
Spatial association rules, co-location patterns and co-location rules were introduced to address the problem of finding associations in spatial data, and in a more general level, they are applications of the problem of finding freq...
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Recommended Reading
Mannila H, Toivonen H (1997) Levelwise search and borders of theories in knowledge discovery. Data Min Knowl Disc 1(3):241–258
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Salmenkivi, M. (2017). Co-location Patterns, Interestingness Measures. In: Shekhar, S., Xiong, H., Zhou, X. (eds) Encyclopedia of GIS. Springer, Cham. https://doi.org/10.1007/978-3-319-17885-1_153
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DOI: https://doi.org/10.1007/978-3-319-17885-1_153
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