癌症图谱浏览器中的时空可视化与分析。
Space-time visualization and analysis in the Cancer Atlas Viewer.
作者信息
Greiling Dunrie A, Jacquez Geoffrey M, Kaufmann Andrew M, Rommel Robert G
机构信息
BioMedware, Inc. Ann Arbor, MI 48104, USA.
出版信息
J Geogr Syst. 2005 May;7(1):67-84. doi: 10.1007/s10109-005-0150-y.
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, 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.
摘要
本文介绍了癌症地图浏览器
一款用于探索美国癌症死亡率数据的免费可下载软件。我们通过探究1970 - 1995年期间美国东南部非裔美国人和白人女性及男性结肠癌死亡率的时空模式来演示该软件。我们比较了两种聚类统计方法的结果：局部莫兰指数和局部G*，并随时间进行分析。总体而言，尽管在某些地方两种统计方法存在分歧，揭示了数据中一些有趣的模式，但对于大多数地点，这两种统计方法得出了相似的结论。结肠癌死亡率仅存在两个持续的聚类，且这些都是低值聚类。
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