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2017 | Supplement | Chapter

Multi-faceted Visual Analysis on Tropical Cyclone

Authors : Cui Xie, Xiao Luo, Guangxiao Ma, Xiaotian Gao, Junyu Dong

Published in: Cooperative Design, Visualization, and Engineering

Publisher: Springer International Publishing

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Abstract

In this paper, we propose an interactive visualization system for tropical cyclone data analysis. We collect historical tropical cyclone data, clean and preprocess them into a unified form for the following visual analysis. We design several views based on direct visualization and feature visualization to facilitate user understanding of the physical characteristics of tropical cyclones. Additionally, we use Support Vector Machines (SVM) to predict the tropical cyclone trajectories for users to make a deep analysis and assessment of the cyclone’s movement features. In this visual analysis process, we provide multiple linked views for physical characteristics exploration and cyclone trajectories prediction. Our system also supports multi-resolution analysis with temporal and spatial filtering. The experiments and user study demonstrate the effectiveness of our system.

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Metadata
Title
Multi-faceted Visual Analysis on Tropical Cyclone
Authors
Cui Xie
Xiao Luo
Guangxiao Ma
Xiaotian Gao
Junyu Dong
Copyright Year
2017
Book
Cooperative Design, Visualization, and Engineering

Print ISBN: 978-3-319-66804-8

Electronic ISBN: 978-3-319-66805-5

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-66805-5_33