A Visualization Method and Application of Linked Hierarchical Data

Abstract

The invention discloses an associated hierarchical data visualization method and application. Two kinds of associated hierarchical data sets with geographical distribution serve as data to be visualized, by arranging a map and introducing transition points in a radiation ring, data nodes in the two kinds of hierarchical data sets S1 and S2 are connected through a Bezier curve, visualization is carried out by drawing a rectangular heat map. The associated hierarchical data visualization method is applied to pesticide residue visualization analysis, an agricultural product kind and a pesticide kind which are associated with each other are set as two kinds of associated hierarchical data sets with geographical distribution, the geography heat map and the radiation ring are drawn to represent excessive pesticide agricultural products, the excessive pesticide type and pesticide toxicity distribution, and the Bezier curve and the matrix heat map are drawn. According to the invention, a multi-view and interaction method is employed to visualize associated hierarchical data, and data has smoothness, continuity and readability.

Description

technical field [0001] The invention belongs to the field of information visualization, and in particular relates to a method for visualizing correlated hierarchical data based on a heat map and a radiation ring and an application for visualizing pesticide residue data. Background technique [0002] The real world is a three-dimensional space, and data including geographical distribution can be seen everywhere. In the era of big data, the volume of data increases, the dimensions of data increase, and the types of data become more complex. Visual analysis of correlated hierarchical data has also become a hot topic and challenge. One of the very challenging types of big data is linked hierarchical data with geographic distribution. For example, data in food safety, transportation, transportation logistics, commercial trade, and electronic communication industries generally contain geographic location information, hierarchical relationships, and association relationships, and ...

AI Technical Summary

Problems solved by technology

However, these existing edge binding technologies can only see the overall trend of the bound edges, and cannot view the details

[0009] To sum up, the Necklace Maps method maps statistical data to each pie chart on the necklace ring, and can only present geographic location information and a single statistical information

The problem with the bound edges of the classic hierarchical data edge binding method (HEB method) is that you can only see the overall trend, but not the details

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