1 INTELLIGENT CRIME MAPPING SYSTEM (CMISYSTEM) M.A.P. Chamikara 1 , R. D. Yapa 1 , J. Gunathilake 2 1 Department of Statistics and Computer Science, Faulty of Science, University of Peradeniya, Sri Lanka 2 Department of Geology, Faculty of Science, University of Peradeniya, Sri Lanka Introduction Spatial mapping of criminal data will support on decision making and security arrangement activities of any Police department in any country. According to the department of Police in Sri Lanka, they are practicing this method for a long time for regional security arrangement and placement of police patrol services. But, still these activities are being done manually by using paper maps and pins, which give a least support on decision making. Current method does not facilitate crime trend analysis, real-time crime outbreak detection, analysis of crime patterns etc. As the map is in a main police station in the region, an officer from each of other stations has to physically present in the main station at every time they need to update the map. Those updated information are not visible to other stations. Also, a map or a crime clock contains only the data belongs to the current week in operation. But introducing web based geographical information system (GIS), will give additional support on real time decision making on security arrangement activities. Although there several web based crime mapping and crime clock systems are available in the internet, they have been custom made for legislative authorities in different countries and those systems are not accessible to outside of those respective authorities. iMap website (iMap, 2009) and CrimeReports website (CrimeReprots, 2009) are two such automated systems. The proposed intelligent crime mapping system (CMISystem) has facilities such as online, real time crime mapping, analyze criminal activities by different types of crimes, recognize nearest police station to a crime location, recognize crime hot- spots, detect crime outbreaks, crime trend analysis, crime clock visualization and analysis etc. In future, facilities of this system can be further expanded by linking crime data with GIS. Methodology Online mapping and displaying of features, on maps, were developed using WMS (web mapping services), WFS (web feature services), and vector layer technologies. The system is implemented in GeoServer which is an open source web server that provides web services related to geographical data. For identification of hotspots (Fig. 1 - Appendix), all the data points were clustered using a clustering algorithm, where it first accepts the interested area to be investigated (A) as the input. Then according to the user’s