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Lookup NU author(s): M Charlton, Emeritus Professor Alan Craft
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ABSTRACTThe paper describes a new approach to the graphical analysis of cancer data. A Geographical Analysis Machine is built which simultaneously solves the problems of post hot: hypothesis testing, handling data errors, and the task of generating and evaluating hypotheses in an exploratory environment. The methodology is demonstrated by reanalyzing cancer data for Northern England in such a way that for the first time the complex universe of all geographical hypotheses is enumerated, evaluated, and all the significant cancer clusters displayed.
Author(s): Openshaw, S., Charlton, M., Craft, A. W.
Publication type: Article
Publication status: Published
Journal: Papers of the Regional Science Association
Year: 1988
Volume: 64
Issue: 1
Pages: 95-106
ISSN (print): 0486-2902
ISSN (electronic): 1435-5957
URL: http://dx.doi.org/10.1111/j.1435-5597.1988.tb01117.x
DOI: 10.1111/j.1435-5597.1988.tb01117.x
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