Researchers create interactive visualization system to analyze big ocean data

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The architecture of the visualization frame. The sections in brackets are where the components are described in detail. Credit: IOCAS

With the development of various types of fixed marine observation equipment, satellite remote sensing technology, and computer simulation technology, modern marine scientific research has entered the era of big data.

A research team led by Dr. Li Xiaofeng from the Institute of Oceanology of the Chinese Academy of Sciences (IOCAS) constructed a unified visual data service and a component-based interactive visualization structure to solve the problem of difficulty of data analyzing caused by data complexity.

The study was published in Big Earth Data.

Compared to traditional visualization frameworks, a visually data layer is placed between the front- and back-ends. This provides unified data services that can be used with different visual components. In the visual data layer, the data are converted and encoded after cleaning, quality control, and standardization by the data service layer based on the data type.

The service interface for the Restful API architecture was created by the researchers. It provides a user interface with component library for visual component layers and allows quick retrieval and application data. The visual component layer contained common analysis methods that were arranged in a way that created an independent visual ocean component.

They have created many visualization applications using the component-based visualization platform. They have built many visualization applications using the component-based visualization platform. For example, they created a combined storm surge and wave model by integrating multiple visualization components. The temporal and spatial fields from the model data were interlinked and worked together to display the path, size and intensity of typhoon transportation.

Moreover, water gain caused by the wave field around the typhoon, the distribution of the wind field and the storm surge were integrated to predict the development of the storm surge and the warning level of dikes.

More information:
Yanjun Wang et al, Development of a component-based interactive visualization system for the analysis of ocean data, Big Earth Data (2021). DOI: 10.1080/20964471.2021. 1994362

Citation:
Researchers develop interactive visualization system for analysis of big ocean data (2021, December 23)
retrieved 25 December 2021
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