A survey on visual analysis of ocean data

Last modified: 
December 13, 2019 - 12:34pm
Type: Journal Article
Year of publication: 2019
Date published: 08/2019
Authors: Cui Xie, Mingkui Li, Haoying wang, Junyu Dong
Journal title: Visual Informatics
ISSN: 2468502X

A major challenge in analysis of huge amounts of ocean data is the complexity of the data and the inherent complexity of ocean dynamic process. Interactive visual analysis serves as an efficient complementary approach for the detection of various phenomenon or patterns, and correlation exploring or comparing multiple variables in researchers daily work. Firstly, this paper presents a basic concept of ocean data produced from numerous measurement devices or computer simulations. The characteristics of ocean data and the related data processing techniques are also described. Secondly, the main tasks of ocean data analysis are introduced. Based on the main analysis tasks in ocean domain, the survey emphasizes related interactive visualization techniques and tools from four aspects: visualization of multiple ocean environmental elements and multivariate analysis, ocean phenomena identification and tracking, patterns or correlation discovery, ensembles and uncertainties exploration. Finally, the opportunities are discussed for future studies.

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