Summary
Contents
Subject index
The widespread use of Geographical Information Systems (GIS) has significantly increased the demand for knowledge about spatial analytical techniques across a range of disciplines. As growing numbers of researchers realize they are dealing with spatial data, the demand for specialized statistical and mathematical methods designed to deal with spatial data is undergoing a rapid increase. Responding to this demand, The SAGE Handbook of Spatial Analysis is a comprehensive and authoritative discussion of issues and techniques in the field of spatial data analysis.
Case-Control Clustering for Mobile Populations
Case-Control Clustering for Mobile Populations
The effect of [human] mobility could be a time–space lag between causes and effects that makes conventional mapping spurious.
Introduction
Traditionally, geographic clustering techniques have concerned themselves with static spatial distributions in which human mobility is ignored. For example, within the case-control framework, place-of-residence at time of diagnosis or death is often analyzed even though there may be a substantial space time lag or latency between timing of causative exposures and disease diagnosis. The few techniques currently available for accounting for human mobility when assessing case-clustering often do not adequately account for known risk factors (e.g., smoking), covariates (e.g., age, gender, race, education, etc.) and the space—time lag between exposure and disease. This chapter is based ...
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