DocumentCode
2936820
Title
Visual Analytics of Paleoceanographic Conditions
Author
Theron, Roberto
Author_Institution
Departamento de Informalica y Automatica, Univ. de Salamanca
fYear
2006
fDate
Oct. 31 2006-Nov. 2 2006
Firstpage
19
Lastpage
26
Abstract
Decade scale oceanic phenomena like El Nino are correlated with weather anomalies all over the globe. Only by understanding the events that produced the climatic conditions in the past will it be possible to forecast abrupt climate changes and prevent disastrous consequences for human beings and their environment. Paleoceanography research is a collaborative effort that requires the analysis of paleo time-series, which are obtained from a number of independent techniques and instruments and produced by a variety of different researchers and/or laboratories. The complexity of these phenomena that consist of massive, dynamic and often conflicting data can only be faced by means of analytical reasoning supported by a highly interactive visual interface. This paper presents an interactive visual analysis environment for paleoceanography that permits to gain insight into the paleodata and allow the control and steering of the analytical methods involved in the reconstruction of the climatic conditions of the past
Keywords
geophysics; geophysics computing; oceanographic techniques; oceanography; El Nino; analytical method; climate change forecasting; climatic condition; decade scale oceanic phenomena; global weather anomaly; interactive visual analysis; interactive visual interface; paleo time-series; paleoceanographic condition; paleoceanography; paleodata; visual analytics; Geology; History; Humans; Hurricanes; Image reconstruction; Laboratories; Ocean temperature; Time series analysis; Visual analytics; Weather forecasting; H.1.2 [User/Machine Systems]: Human information processing¿Visual Analytics; Infovis; J.2 [Physical Sciences and Engineering]: Earth and atmospheric sciences¿Applications; exploratory analysis; multiple linked views; parallel coordinates;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science And Technology, 2006 IEEE Symposium On
Conference_Location
Baltimore, MD
Print_ISBN
1-4244-0591-2
Electronic_ISBN
1-4244-0592-0
Type
conf
DOI
10.1109/VAST.2006.261452
Filename
4035743
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