Space-time visualization and analysis in the Cancer Atlas Viewer |
| |
| Authors: | Dunrie A Greiling Geoffrey M Jacquez Andrew M Kaufmann Robert G Rommel |
| |
| Institution: | (1) BioMedware, Inc, Ann Arbor, MI 48104, USA |
| |
| 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.This project was funded by grant CA92669 from the National Cancer Institute to BioMedware, Inc. The perspectives stated in this article are those of the authors and do not necessarily represent the official views of the National Cancer Institute. Constructive criticism from Heidi Durbeck of BioMedware, Peter Rogerson of SUNY-Buffalo, and three anonymous reviewers helped us improve the interpretation and presentation of these results. |
| |
| Keywords: | Spatio-temporal Temporal GIS Clustering Animation Cancer |
| 本文献已被 PubMed SpringerLink 等数据库收录！ |
|
