Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/156926
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dc.contributor.authorChoo, Yu Liangen_US
dc.date.accessioned2022-04-28T11:37:28Z-
dc.date.available2022-04-28T11:37:28Z-
dc.date.issued2022-
dc.identifier.citationChoo, Y. L. (2022). Statistical analysis of spatial point patterns. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/156926en_US
dc.identifier.urihttps://hdl.handle.net/10356/156926-
dc.description.abstractThis 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.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectScience::Mathematics::Statisticsen_US
dc.titleStatistical analysis of spatial point patternsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorFedor Duzhinen_US
dc.contributor.schoolSchool of Physical and Mathematical Sciencesen_US
dc.description.degreeBachelor of Science in Mathematical Sciencesen_US
dc.contributor.supervisoremailFDuzhin@ntu.edu.sgen_US
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Appears in Collections:SPMS Student Reports (FYP/IA/PA/PI)
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