Effects of alternative point pattern geocoding procedures on first and second order statistical measures

The objective of this research is to examine whether or not the same dataset, geocoded using different methods, produces significantly different results when applying various methods used to examine both first and second order effects of a point pattern dataset. Observations from Sydney, Nova Scotia, Canada, and vicinity were geocoded in two ways: using a civic address point file derived from 20cm resolution orthophotos; and postal code geocoding using two different products. The resulting three point patterns were analysed using a bivariate K‐function, a ratio of kernel estimates and Kuldorff's spatial scan statistic. Analysis indicates that conclusions can vary depending on geocoding, while of the methods tested the bivariate K‐function produces results that are least affected by the type of geocoding employed.

[1]  L A Waller Statistical power and design of focused clustering studies. , 1996, Statistics in medicine.

[2]  Duck-Hye Yang,et al.  Improving Geocoding Practices: Evaluation of Geocoding Tools , 2004, Journal of Medical Systems.

[3]  Michael Jerrett,et al.  Conceptual and practical issues in the detection of local disease clusters: a study of mortality in Hamilton, Ontario , 2002 .

[4]  J W Hogan,et al.  On the wrong side of the tracts? Evaluating the accuracy of geocoding in public health research. , 2001, American journal of public health.

[5]  Gerard Rushton,et al.  Modeling the probability distribution of positional errors incurred by residential address geocoding , 2007 .

[6]  Peter J. Diggle,et al.  SPLANCS: spatial point pattern analysis code in S-Plus , 1993 .

[7]  Jing Nie,et al.  Positional Accuracy of Geocoded Addresses in Epidemiologic Research , 2003, Epidemiology.

[8]  G M Jacquez,et al.  Cuzick and Edwards' test when exact locations are unknown. , 1994, American journal of epidemiology.

[9]  Nataliya Kravets,et al.  The accuracy of address coding and the effects of coding errors. , 2007, Health & place.

[10]  M Kulldorff,et al.  Spatial disease clusters: detection and inference. , 1995, Statistics in medicine.

[11]  Thomas O Talbot,et al.  Positional error in automated geocoding of residential addresses , 2003, International journal of health geographics.

[12]  Frederik P. Agterberg,et al.  Interactive spatial data analysis , 1996 .

[13]  L. Pickle,et al.  Geographic bias related to geocoding in epidemiologic studies , 2005, International journal of health geographics.

[14]  Carol Hanchette,et al.  Geographic information systems: their use in environmental epidemiologic research. , 1997, Environmental Health Perspectives.

[15]  Yutaka Harada,et al.  Examining the impact of the precision of address geocoding on estimated density of crime locations , 2006, Comput. Geosci..

[16]  Carol A. Gotway,et al.  Use of the Spatial Scan Statistic to Identify Geographic Variations in Late Stage Colorectal Cancer in California (United States) , 2006, Cancer Causes & Control.

[17]  P J Diggle,et al.  Second-order analysis of spatial clustering for inhomogeneous populations. , 1991, Biometrics.

[18]  Amy Trentham-Dietz,et al.  Geocoding Addresses from a Large Population-based Study: Lessons Learned , 2003, Epidemiology.