Definition
Spatial data mining is the process of discovering non-trivial, interesting, and useful patterns in large spatial datasets. The most common spatial pattern families are co-locations, spatial hotspots, spatial outliers, and location predictions.
Figure 1gives an example of a spatial hotspot pattern for burglary related crimes in the Boston, MA area. In this figure, each point depicts a burglary event in the year 1999. The dark blue and green shapes in the figure represent the discovered hotspots or the source of this type of crime. Notice that discovering these hotspots is a non-trivial process due to the irregular size and spatial shape of the pattern. In addition, not all incidents contribute to the hotspot. Discovery of these patterns is very useful and interesting to public safety professionals as they plan police patrols and social...
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Shekhar, S., Kang, J., Gandhi, V. (2009). Spatial Data Mining. In: LIU, L., ÖZSU, M.T. (eds) Encyclopedia of Database Systems. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-39940-9_357
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DOI: https://doi.org/10.1007/978-0-387-39940-9_357
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