Mapping and monitoring suburban crimes using high resolution data
3. Data Used
In order to handle the suburban crimes, sample data of unknown area covering the suburban type houses have been used to replicate the Indian scenario. From the orthophoto, roads, individual houses and other relevant features have been captured in AutoCAD. All the houses have been captured as polygon and after necessary editing; topology is built to populate the statistical details. This sample data covers 584 individual houses in suburban area as shown in Figure 2.  Figure 2 showing a sample data of unknown area captured from Orthophoto showing the suburban houses 4. Results & Discussion In this study, the use of high-resolution orthophoto has clearly indicated the immense potential of such data to know the pattern of suburban crime. It also helps to find out the social set up of individual houses and its peculiar activities. The key factor in identifying the vulnerable houses comes from the demographical data which is unique to every house in suburban areas in India. From the query based analysis in GIS environment, it is possible to identify the following set of social factors which come under the grip of criminals: Independent houses Nighttime locked houses Houses locked for more than 3 hours in daytime Aged people living in the houses Active during night for illegal activities Lack of security The above set of social pattern existing in suburbs is incorporated into the GIS environment. Query based analysis help to identify the potential vulnerable locations and houses. When such studies are initiated at suburban areas of major Indian cities, then it can really help control the crimes. Furthermore, it helps for better user interaction when the data is maintained in GIS environment. With other tabular information like the suburban crimes, its locations, crime type, types of goods stolen, criminal records, etc. then, it gives clue to solve some of the unsolved crimes. This helps to improve the security at large and to have a balanced socio-economic development of any city. In India, GIS based community policing is catching up and at this juncture, the use of high-resolution data can be really useful to the police across the major Indian cities to tackle this increasing crime. It helps the police to have a regular monitoring of houses in the given area which remains as a base camp of criminals for discussion, exchange of illegal goods, etc. This high-resolution mapping and analysis in GIS environment can greatly help nab the criminals before they carry out some disastrous work. It also helps to initiate an integrated approach among various other user agencies like police, builders, urban planners, NGOs engaged in community development activities. This helps to plan for better security arrangements in vulnerable areas. The property lost and sometimes the murder of beloved ones will be priceless. But little investment to capture, store and monitor this data in GIS environment can save lakhs and possibly the life of an individual. The data can be updated and manipulated at frequent intervals to increase security and police patrol to specific areas. This untimely loss of property and lives can be greatly minimized provided technological approach is given priority to control this suburban crime in Indian cities. |