In the analysis of spatially referenced public health data, members of diff
erent disciplinary groups (geographers, epidemiologists and statisticians)
tend to select different methodological approaches, usually those with whic
h they are already familiar. This paper compares three such approaches in t
erms of their relative value and results. A single public health dataset, d
erived from a community survey, is analysed by using 'traditional' epidemio
logical methods, GIS and point pattern analysis. Since they adopt different
'models' for addressing the same research question, the three approaches p
roduce some variation in the results for specific health-related variables.
Taken overall, however, the results: complement, rather than contradict or
duplicate each other. (C) 2001 Elsevier Science Ltd. All rights reserved.