Interactive spatial data analysis in medical geography

Interactive spatial data analysis in medical geography Interactive spatial data analysis involves the use of software environments that permit the visualization, exploration and, perhaps, modelling of geographically-referenced data. Such systems are of obvious value in epidemiological research, both of an environmental and geographical nature. There is an increasing number of such software environments available on a variety of platforms and operating systems. This paper considers the use of the proprietary Geographical Information System, ARC/INFO, in a spatial analysis context, showing how the spatial analytic tools that may be added to it can be exploited by geographical epidemiologists; such tools include those for modelling possible raised incidence of disease around suspected sources of pollution. The paper also reviews the use of systems such as S-Plus and XLISP-STAT, statistical programming environments to which spatial analysis functions or libraries may be added. The use of INFO-MAP, a system designed to aid in the teaching of interactive spatial data analysis, is also highlighted. The various software environments are illustrated with reference to examples concerned with: clustering of childhood leukaemia in part of Lancashire, England; Burkitt's lymphoma in Uganda; larynx cancer in Lancashire; and childhood mortality in Auckland, New Zealand. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Social Science & Medicine Elsevier

Interactive spatial data analysis in medical geography

Social Science & Medicine, Volume 42 (6) – Mar 1, 1996

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Publisher
Elsevier
Copyright
Copyright © 1996 Elsevier Ltd
ISSN
0277-9536
D.O.I.
10.1016/0277-9536(95)00183-2
Publisher site
See Article on Publisher Site

Abstract

Interactive spatial data analysis involves the use of software environments that permit the visualization, exploration and, perhaps, modelling of geographically-referenced data. Such systems are of obvious value in epidemiological research, both of an environmental and geographical nature. There is an increasing number of such software environments available on a variety of platforms and operating systems. This paper considers the use of the proprietary Geographical Information System, ARC/INFO, in a spatial analysis context, showing how the spatial analytic tools that may be added to it can be exploited by geographical epidemiologists; such tools include those for modelling possible raised incidence of disease around suspected sources of pollution. The paper also reviews the use of systems such as S-Plus and XLISP-STAT, statistical programming environments to which spatial analysis functions or libraries may be added. The use of INFO-MAP, a system designed to aid in the teaching of interactive spatial data analysis, is also highlighted. The various software environments are illustrated with reference to examples concerned with: clustering of childhood leukaemia in part of Lancashire, England; Burkitt's lymphoma in Uganda; larynx cancer in Lancashire; and childhood mortality in Auckland, New Zealand.

Journal

Social Science & MedicineElsevier

Published: Mar 1, 1996

References

  • Interactive Spatial Data Analysis
    Bailey, T.C.; Gatrell, A.C.
  • Visual and statistical assessment of spatial clustering in mapped data
    Walter, S.D.
  • An application of density estimation to geographical epidemiology
    Bithell, J.F.
  • Kriging the local risk of a rare disease from a register of diagnoses
    Webster, R.; Oliver, M.A.; Muir, K.R.; Mann, J.R.

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