The development of models to assess air pollution exposures within cities for assignment to
subjects in health studies has been identified as a priority area for future research. This …

This paper reviews a number of methods for the exploration and modelling of spatial point
patterns with particular reference to geographical epidemiology (the geographical incidence …

Written by a prominent statistician and author, the first edition of this bestseller broke new
ground in the then emerging subject of spatial statistics with its coverage of spatial point …

Since the publication of the second edition, many new Bayesian tools and methods have
been developed for space-time data analysis, the predictive modeling of health outcomes …

and chapter 7 focuses on modeling of spatial distribution of diseases. Finally, chapter 8
explains data-driven and knowledge-driven modeling for risk assessment and management …

Spatial epidemiology is the description and analysis of the geographical distribution of
disease. It is more important now than ever, with modern threats such as bio-terrorism …

The need to understand the processes shaping population distributions has resulted in a
vast increase in the diversity of spatial wildlife data, leading to the development of many …

We define residuals for point process models fitted to spatial point pattern data, and we
propose diagnostic plots based on them. The residuals apply to any point process model …

We determine the spatial pattern of Aedes aegypti and the containers in which they develop
in two neighborhoods of the Amazonian city of Iquitos, Peru. Four variables were examined …

This is a detailed set of notes for a workshop on Analysing spatial point patterns in R,
presented by the author in Australia and New Zealand since 2006. The goal of the workshop …