Space-time visualization and analysis in the Cancer Atlas Viewer
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 southeaste...
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| Veröffentlicht in: | Journal of geographical systems 2005-05, Vol.7 (1), p.67-84 |
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| creator | Greiling, Dunrie A Jacquez, Geoffrey M Kaufmann, Andrew M Rommel, Robert G |
| description | 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, although where they disagree reveals some interesting patterns in the data. There are only two persistent clusters of colon cancer mortality, and these are clusters of low values. |
| doi_str_mv | 10.1007/s10109-005-0150-y |
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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, although where they disagree reveals some interesting patterns in the data. There are only two persistent clusters of colon cancer mortality, and these are clusters of low values.</description><subject>African Americans</subject><subject>Cluster analysis</subject><subject>Colorectal cancer</subject><subject>Ethnicity</subject><subject>Geographic information systems</subject><subject>Hypotheses</subject><subject>Information systems</subject><subject>Mapping</subject><subject>Metadata</subject><subject>Mortality</subject><subject>Oral cancer</subject><subject>Software</subject><subject>Software packages</subject><subject>Spacetime</subject><subject>Statistics</subject><subject>Studies</subject><subject>Surveillance</subject><subject>Visualization</subject><subject>White 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| subjects | African Americans Cluster analysis Colorectal cancer Ethnicity Geographic information systems Hypotheses Information systems Mapping Metadata Mortality Oral cancer Software Software packages Spacetime Statistics Studies Surveillance Visualization White people |
| title | Space-time visualization and analysis in the Cancer Atlas Viewer |
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