Computer Science ›› 2021, Vol. 48 ›› Issue (6A): 552-557.doi: 10.11896/jsjkx.200900127

• Interdiscipline & Application • Previous Articles     Next Articles

Visual Analysis System of Climatic Regionalization Based on Meteorological Factors

YAO Lin, WANG Xiang-kun, JIA Yu-pei, GENG Shi-hong, ZHU Min   

  1. College of Computer Science,Sichuan University,Chengdu 610065,China
  • Online:2021-06-10 Published:2021-06-17
  • About author:YAO Lin,born in 1997,postgraduate,is a member of China Computer Federation.His main research interests include visual analytics and bioinformatics.
    ZHU Min,born in 1971,Ph.D,professor,Ph.D supervisor,is a member of China Computer Federation.Her main research interests include information visualization,visual analytics and bioinformatics.
  • Supported by:
    Sichuan University-Luzhou City Project for Strategic Cooperation(2017CDLZ-S29).

Abstract: Researchers in the fields of hydrographic investigation,environmental monitoring and agricultural production need to divide geographical areas into several sub-areas according to meteorological factors for subsequent analysis and research,such as sampling and comparison.At present,climatic regionalization based on meteorological factors has some problems,such as lack of interactive means and single output of form and result.In this paper,a visual analysis system of climate regionalization based on meteorological factors is designed and implemented.The system provides views such as stacked histogram,radar map,parallel coordinate system,as well as rich interactive means such as clicking,hovering and so on.Experts can determine climate regionalization scheme through clustering quality metrics,geographical distribution of climate,point-cluster relationships and domain know-ledge.At the same time,the system can show the time series evolution of climate regionalization,represent the matching of the attributes of the site and the area to which it belongs,and improve the interpretability of regionalization schemes.Finally,based on the meteorological data of five provinces in southwest China in the past 50 years,the effectiveness of the system is verified by exploring the climatic regionalization scheme and deducing the time series change of regionalization.

Key words: Climatic regionalization, Cluster evaluation, Meteorological factors, Visual analysis

CLC Number: 

  • TP391
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