Abstract
The study of Earth and its features with the help of Remote Sensing has lead to a fast growing and effective technology called Geographic Information System (GIS) where digital Maps and spatial data can be used for visualizing, analyzing and taking decision based on the analysis. Crime Analysis has become an integral part of GIS where the Analyst uses the spatial and temporal aspect of Crime information for analysis and forecasting. Using Hotspot analysis technique the Hotspot means the area where the concentration of Crime is more can be found. There are different classes of Hotspot detection such as Spatial Analysis, Interpolation and Spatial Autocorrelation for finding out the Crime Hotspot. In this paper Kernel Density Estimation, Inverse Distance Weighted and Getis-Ord Gi* methods from each classes respectively are discussed. These methods are applied on Aurangabad city of Maharashtra state, India for finding out the hotspots for crime incidence like Murder, Day House Break and Night House Break.
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