Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156926
Title: Statistical analysis of spatial point patterns
Authors: Choo, Yu Liang
Keywords: Science::Mathematics::Statistics
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Choo, Y. L. (2022). Statistical analysis of spatial point patterns. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156926
Abstract: 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.
URI: https://hdl.handle.net/10356/156926
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)

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