Analyzing the Role of Climate in the Spatial Distribution of the Robbery Phenomenon and Threats to National Security (Case Study: Cities of Isfahan Province)

Robbery is considered as one of the human crimes which has a long history in different societies. This phenomenon underwent many changes over time; however, the only thing which remained constant since its emergence is its ugly and heinous nature. In this regard, the present study aimed to evaluate the role of climate and its changes in the spatial distribution of the crime of robbery in the urban level of Isfahan Province. After obtaining the statistical yearbook of Isfahan Province in the form of SWARA, ARAS, and cluster analysis multi-index techniques, the data related to the crime of robbery among the cities in Isfahan Province were weighted, ranked, and clustered. Pearson correlation coefficient and linear regression were used to measure the relationship between robbery and three parameters of elevation, temperature, and precipitation which its maps were prepared through Kriging method in ArcGIS Software. The results of SWARA technique indicated that the robbery of the in-car accessories weighting ۰.۱۷۰ ranked first and the robbery from public buildings weighting ۰.۰۸۵ ranked last. The results of the ARAS Technique indicated that Chadegan city ranked first based on the robbery, Fereydounshahr ranked second, Semirom city ranked third and Naien city ranked fourth. The results of Pearson correlation coefficient and linear regression indicated that there is a significant correlation between crime occurrences in the urban level of Isfahan Province and elevation, temperature and precipitation. Considering the three parameters of elevation, temperature, and precipitation, most of the crime was committed in the southern and western parts of Isfahan Province (i.e., Semirom, Daran, Fereidounshahr and Khansar). The central and northern parts of Isfahan Province (i.e. Ardestan, Kashan, Mobarakeh and Khor cities) had the least rate of the crime of robbery.

کلیدواژه ها:

spatial distribution ، Robbery ، Climate ، SWARA ، Aras