Association Rules-Based Multivariate Analysis and Visualization of Spatiotemporal Climate Data

Association Rules-Based Multivariate Analysis and Visualization of Spatiotemporal Climate Data

Understanding atmospheric phenomena involves analysis of large-scale spatiotemporal multivariate data. The complexity and heterogeneity of such data pose a significant challenge in discovering and understanding the association between multiple climate variables. To tackle this challenge, we present...

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Bibliographic Details
Main Authors: Feng Wang, Wenwen Li, Sizhe Wang, Chris R. Johnson
Format: Article
Language:English
Published: MDPI AG 2018-07-01
Series:ISPRS International Journal of Geo-Information
Subjects:
multivariate analysis
association analysis
polar cyclone
climate visualization
Online Access:http://www.mdpi.com/2220-9964/7/7/266

Internet

http://www.mdpi.com/2220-9964/7/7/266

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