期刊
SCIENCE CHINA-INFORMATION SCIENCES
卷 56, 期 10, 页码 -出版社
SCIENCE PRESS
DOI: 10.1007/s11432-011-4391-8
关键词
spatio-temporal clustering; spatio-temporal autocorrelation; spatio-temporal heterogeneity; spatio-temporal data mining
资金
- National High Technology Research and Development Program of China [2009AA12Z206]
- National Science Foundation of China [40871180]
Spatio-temporal clustering has been a hot topic in the field of spatio-temporal data mining and knowledge discovery. It can be employed to uncover and interpret developmental trends of geographic phenomenon in the real world. However, existing spatio-temporal clustering methods seldom consider both spatiotemporal autocorrelations and heterogeneities among spatio-temporal entities, and the coupling in space and time has not been well highlighted. In this paper, a unified framework for the clustering analysis of spatio-temporal data is proposed, and a novel spatio-temporal clustering algorithm is developed by means of a spatio-temporal statistics methodology and intelligence computation technology. Our method is applied successfully to finding spatio-temporal cluster in China's annual temperature database for the period 1951-1992.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据