{"title":"Visual Analytics of Causal Relationship Between Fish Catches Data in Adjacent Sea Areas Using Convergent Cross Mapping","authors":"Chi Zhang, M. Iiyama, K. Koyamada","doi":"10.15748/jasse.7.226","DOIUrl":null,"url":null,"abstract":". In this paper, a visual analytics system that are used to analyze the causal relationship between fishing catches data in adjacent sea areas is proposed. By using the proposed system, the distribution of sea surface temperature is visualized so that the sea areas can be divided accordingly. Next, the daily fishing e ffi ciency in each sea area are calculated and the convergent cross mapping is used to analyze the causality between the data in adjacent sea areas. The experimental results show that the possible causation between the data in two of the divided sub sea areas are detected. In addition, the causal variable can be further identified by referring to the prediction skills.","PeriodicalId":41942,"journal":{"name":"Journal of Advanced Simulation in Science and Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.4000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Advanced Simulation in Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15748/jasse.7.226","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
. In this paper, a visual analytics system that are used to analyze the causal relationship between fishing catches data in adjacent sea areas is proposed. By using the proposed system, the distribution of sea surface temperature is visualized so that the sea areas can be divided accordingly. Next, the daily fishing e ffi ciency in each sea area are calculated and the convergent cross mapping is used to analyze the causality between the data in adjacent sea areas. The experimental results show that the possible causation between the data in two of the divided sub sea areas are detected. In addition, the causal variable can be further identified by referring to the prediction skills.