Space-time visualization and analysis in the Cancer Atlas Viewer.
Space-time visualization and analysis in the Cancer Atlas Viewer.
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DOI：
10.1007/s10109-005-0150-y
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发表时间：
2005-05-01
影响因子：
2.9
通讯作者：
Rommel, Robert G
中科院分区：
文献类型：
--
作者：
Greiling, Dunrie A;Jacquez, Geoffrey M;Rommel, Robert G
这篇文章描述了癌症地图查看器：免费的，可下载的软件，用于探索美国癌症死亡率数据。我们通过探索1970-1995年期间美国东南部非洲裔美国人和白人女性和男性结肠癌死亡率的时空模式来展示该软件。随着时间的推移，我们比较了两种聚类统计的结果：局部Moran和局部G*。总的来说，这两种统计数据在大多数地区得出了相似的结论，尽管它们不一致的地方揭示了数据中一些有趣的模式。只有两个持续的结肠癌死亡率集群，这些集群的值很低。
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.