| Summary: | 碩士 === 國立臺灣大學 === 地理環境資源學研究所 === 102 === With economic development and the rise of educational level, people gradually impose the requirement of the quality of the living environment. In order to deal with real-life environmental problems that people may encounter in daily life, the Environmental Protection Administration(EPA), Executive Yuan, R.O.C. (Taiwan) established the Environment Protection Complaints Center in 1991 to handle the petition cases about environmental pollution.
Public nuisance petition cases were tagged by EPA with several attributes, including location, time, and more. Currently, the EPA utilizes spatial and temporal querying data, spatial analysis of the cases, and calculating the case hot spots to generate the information for the reference of inspecting efficiently. This study attempted to apply spatial analysis methods to improve the precision and accuracy of the analysis and provide additional method to capture the spatial-temporal information.
First, by comparing the number of pollution incidents per kilometer in two hot spots from 2010 to 2013, we confirmed that kernel density estimation is a more effective way to detect contamination events. Second, Kulldorff’s space-time scan statistics, were used to analyze the spatial-temporal cluster of petition cases and discussed the special cases in Taipei metropolitan area at 2013. The results showed that Kulldorff’s space-time scan statistics could detect pollution incidents from petition cases of spatial-temporal cluster. Besides we found that the use of emergency tag was helpful in deciding the course of spatial-temporal cluster. These results can be used as research approach to improve inspection methods.
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