Data Mining Techniques in GIS: Detection of Crime Pattern in Basra Governerate :AModel

Khadijah Abdul-zahraa Hussein

Hot spots are areas of high crime. Knowledge of crime focus helps security men take the best decisions to be provided with information about their sources. In addition, the use of the crime map achieves high communication efficiency between crime distribution patterns and prevention strategies. This research aims to employ the Geographic Information System (GIS) technology to detect the pattern of crime spread in the province of Basra, as well as the types of spatial groupings and identify hot spots. One of the most important techniques for exploration in spatial information systems is the various spatial clustering models, one of which is chosen according to the nature of the data and the purpose of its use. The application of data mining algorithms to the geo-DB database has shown that there is a juxtaposition of some outlined values in higher positions HH, offset by the juxtaposition of other LL in lower positions. Furthermore, most of the hot areas were concentrated in the administrative units of Basrah, Abi-el- Khasib, and Khor-al-Zubair. The rest of the cities have varied crime levels according to the type of algorithm adopted and the different patterns, indicating the existence of spatial correlation between the features of the phenomenon depending on their characteristics, underlining the ability of new technologies to find new concepts of spatial interaction among the phenomena studied, even if they are not Spatially adjacent.

Volume 11 | 05-Special Issue

Pages: 1990-2004