英文摘要 |
Drug-related crime is a global and transnational issue. Drug-related crime has caused great harm upon social security, economical development and human health. Most of the academic literature have proved the significant association between drug and crime. This research project aims to utilize GIS technology to analyze thematic mapping of drug-related crime by the combination of governmental big data information. The analysis will include temporal and spatial distribution and character as well as the focus on hotspot and the tendencies on proliferation and displacement. This study profoundly developing academic theory and discourses through the literature of environmental criminology, geographical criminology, drugrelated crime and GIS for the further construction of thematic mapping. The systematical methods of Average Nearest Neighbor, Kernel Density Estimation and Getis-Ord GI* are used to the drug-related crime at Luzhou District of New Taipei City for the dimensions of temporal and spatial distribution and character as well as the focus on hot-spot and the tendencies on proliferation and displacement. It hopes to offer explicit perspectives and interpretations for the development of contemporary crime control and policing management by the provision of the construction of drug-related crime mapping. |