Method for visualizing multi-dimensional hierarchies on basis of radial layout

Abstract

The invention discloses a method for visualizing multi-dimensional hierarchies on the basis of radial layout. The method is used for defining drawing algorithms for multi-dimensional hierarchy views, and includes firstly, drawing i+1 child nodes child<i+1><T<m> of given parent nodes pNode by the aid of the drawing algorithms for the radial hierarchy views; secondly, mapping n-dimensional data points for each given data set U<m*n> by the aid of the drawing algorithms for circular parallel coordinates to obtain a circular broken line section in a two-dimensional space; thirdly, fusing the views, to be more specific, seamlessly fusing the multi-dimensional hierarchy views by the aid of hollow design strategies Hollow Spiral Models, and analyzing linkage of the views by the aid of interaction designs Detail Outside. The method has the advantages that a high space utilization rate and excellent scalability can be kept, the global radial performance of the layout can be maintained, and the multi-dimensional hierarchy views can be seamlessly fused.

Description

technical field [0001] The invention relates to the technical field of multidimensional and hierarchical visualization, in particular to a radial layout-based multidimensional and hierarchical visualization method. Background technique [0002] Multidimensional hierarchical data is a type of data that has both multidimensional and hierarchical characteristics. Multidimensionality means that each data object has two or more independent or related attributes, such as computer configuration information, parameters such as CPU, memory, and hard disk, and each parameter describes an attribute of the computer. Hierarchy manifests itself in two categories, inclusion and subordination, such as geographical distribution and social organizational structure. This kind of data widely exists in people's daily social production, such as commodity classification in shopping websites, statistical yearbooks of various provinces and cities across the country issued by the National Bureau of ...

AI Technical Summary

Problems solved by technology

When expressing data hierarchy information, the disadvantage of the former is that as the number of layers and nodes increases, it will cause excessive expansion of breadth and depth, resulting in poor readability, and a large number of data points are gathered in the local area of ​​the screen, making it difficult to efficiently use the limited data. Screen space; the latter has efficient space utilization, but it is not as clear as the former in expressing hierarchical information

[0006] Existing multi-dimensional hierarchical visualization methods, such as Treemap, use retinal variables (such as color, shape, size, label, etc.) to represent dimensional information while displaying hierarchical information. However, this method has the disadvantage of weak dimensional scalability; The composite visualization method of hierarchical view uses hierarchical view and multidimensional view respectively to display the hierarchical structure and multidimensional information of the data. The disadvantage is that users need to maintain visual balance between multiple views and global views, and switching between multiple views may cause users loss of global context information

[0007] The above-mentioned visualization technologies mainly have the following problems when presenting multi-dimensional hierarchical data: 1) only analyze and explore a single feature level of the original data; 2) are sensitive to dimension growth, have low scalability, and are easy to Cause users to lose global context information

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