Crime Hot Spots

Dudi Sarifudin — Mon, 03 Dec 2007 10:37:43 +0000

Crime is not spread evenly across maps. It clumps in some areas and is absent in others. People use this knowledge in their daily activities. They avoid some places and seek out others. Their choices of neighborhoods, schools, stores, streets, and recreation are governed partially by the understanding that their chances of being a victim are greater in some of these places than in others. In some places people lock their cars and secure belongings. In other places they do not. Along some streets people walk swiftly and view approaching strangers with suspicion.

Along other streets they casually stroll and welcome the next interesting person they might meet, and notice others making the same choices in the same areas.

Spatial Data Mining

Dudi Sarifudin — Wed, 28 Nov 2007 04:26:23 +0000

Spatial Data Mining is the process of discovering interesting and previously unknown,
but potentially useful patterns from large spatial datasets. Extracting
interesting and useful patterns from spatial datasets is more difficult than extracting
the corresponding patterns from traditional numeric and categorical data
due to the complexity of spatial data types, spatial relationships, and spatial autocorrelation.

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Crime Hot Spots

Spatial Data Mining