Statistical analysis of spatial point patterns
This project aims to test the broken windows theory of crime by examining the relationship between 311 calls for service and crime in New York through spatial analysis techniques. Using the inhomogeneous cross K-function, we found that 311 calls and crime were spatially clustered at inter-point dist...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | |
| التنسيق: | Final Year Project |
| اللغة: | English |
| منشور في: |
Nanyang Technological University
2022
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/10356/156926 |
| الوسوم: |
إضافة وسم
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| الملخص: | This project aims to test the broken windows theory of crime by examining the relationship between 311 calls for service and crime in New York through spatial analysis techniques. Using the inhomogeneous cross K-function, we found that 311 calls and crime were spatially clustered at inter-point distances of $100 - 850$ m. Controlling for the effect of spatial autocorrelation and a set of common socioeconomic indicators using spatial regression models, it was found that the volume of 311 calls is positively associated with crime, based on collected data for the time period from 2013 - 2017. Regional effects of the variables were investigated using a Geographically Weighted Regression model. The results suggest that 311 calls for service and crime are driven by common social processes and supports the broken windows theory. |
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