Point Pattern Analysis in Advanced Spatial Analysis and Modeling




Introduction

The analysis of point data in space, in order to obtain patterns in the points that inform something about the underlying process that generated the points, is often termed as point pattern analysis (Fotheringham et al. 2000). The objective in learning more about spatial patterns is to assess spatial dependence so that we may ultimately correct our statistical analyses based upon dependent spatial data and to learn whether geographic phenomena cluster in space. The need of the quantitative measures of spatial pattern is because it is simply not sufficient to rely on one’s visual interpretation of a map (Rogerson 2006, 224). Point pattern analysis is particularly popular in the fields of biology (Diggle, 1983 in Fotheringham et al., 2000), epidemiology (Diggle et al. in Fotheringham et al., 2000) and the analysis of crime patterns (Bailey and Gatrell, 1995 in Fotheringham et al., 2000). This study focuses on the spatial pattern of the Park centers in the residential areas of Calgary.

Read entire article (It is password protected. Please contact me for liable access to this article.)