Applying GIS and spatial statistics to solve the link between DUI Arrests and alcohol retailers

Author

Bi, Tianping ; Hu, Zhiyong ; Ming, Liyan

Author_Institution

Dept. of Geol. Eng., Northeastern Univ., Shenyang, China

Volume

2

fYear

2010

fDate

17-18 July 2010

Firstpage

446

Lastpage

449

Abstract

This study applied some decent spatial statistical methods and GIS technology to the investigation of the spatial relationship between the locations of DUI Arrests and alcohol retailers in Pensacola, Florida. After exploratory data analysis and testing spatial association based on bivariate J Function, DUI arrests point pattern shows a strong clustering trend around alcohol retainers. A conditional intensity function based on inhomogeneous Poisson process was given to model the spatial association between two of them, and the formula of model was fitted in statistics software called R. According to apply the fitted model, the probability in each position within this area where DUI Arrest might happen was predicted and plotted, which might be helpful to guide government agencies to layout locations of the alcohol retailers.

Keywords

data analysis; geographic information systems; pattern clustering; retailing; stochastic processes; traffic engineering computing; DUI arrest; Florida; GIS; Pensacola; Poisson process; alcohol retailer; bivariate J function; data analysis; pattern clustering; spatial association testing; spatial statistics; statistics software; Nonhomogeneous media; Fitting Model; Poisson process; bivariate J Function; spatial statistics;

fLanguage

English

Publisher

ieee

Conference_Titel

Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-7387-8

Type

conf

DOI

10.1109/ESIAT.2010.5567363

Filename

5567363