Space-time visualization and analysis in the Cancer Atlas Viewer

Dunrie A. Greiling (), Geoffrey M. Jacquez, Andrew M. Kaufmann and Robert G Rommel

Journal of Geographical Systems, 2005, vol. 7, issue 1, 67-84

Abstract: This article describes the Cancer Atlas Viewer: free, downloadable software for the exploration of United States cancer mortality data. We demonstrate the software by exploring spatio-temporal patterns in colon cancer mortality rates for African-American and white females and males in the southeastern United States over the period 1970–1995. We compare the results of two cluster statistics: the local Moran and the local G*, through time. Overall, the two statistics reach similar conclusions for most locations. Where they disagree reveals functional differences in the kinds of local spatial variation to which the statistics are sensitive and identifies some interesting patterns in the data. There are only two persistent clusters of colon cancer mortality through time, and these are clusters of low values. Copyright Springer-Verlag Berlin Heidelberg 2005

Keywords: Spatio-temporal; Temporal GIS; Clustering; Animation; Cancer; C12; C15; C69; C88; I18 (search for similar items in EconPapers)
Date: 2005
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DOI: 10.1007/s10109-005-0150-y

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