Information visualization Design: Visual case and design features

Article Description: The recent study of "information visualization" requires that the scope of research be defined first.

The recent study of "information visualization" requires that the scope of research be defined first.

The definition of information visualization has been studied by colleagues before, this article simply extracts the wiki definition:

Information visualization (information visualization) is an interdisciplinary field designed to study the visual presentation of large-scale, non-numeric information resources, such as numerous files or line of code in software systems, and techniques and methods for using graphical images Help people understand and analyze data. In contrast to scientific visualization, information visualization focuses on abstract datasets, such as unstructured text or points in high-dimensional space (these points do not have intrinsic two-dimensional or three-dimensional geometry).

Special distinction between "information visualization" and "Scientific visualization" concept. In some books, both types of visual design are not distinguishable.

The data processed by "Scientific visualization" has a natural geometric structure, as follows:

There is a "scientific visualization" believe that readers are "designed", high school time to draw "magnetic line" "electric field line." These "lines" are invisible to the naked eye (and do not actually exist), but we visualize them for theoretical research.

The flow of air, the human eye is not visible. In scientific research, the invisible gas flow is visualized by some means to help with simulation experiments or theoretical studies.

This kind of visualization, collectively known as "Scientific Visualization", is a specialized field of research and does not belong to the category of "Information visualization".

Information visualization handles more abstract data, such as:

Histogram, trend charts, flowcharts, UML diagrams, and mindmanager generated tree graphs, all belong to information visualization, which is designed to transform the concept of "abstraction" into visual information.

With the "Scientific visualization", this paper will study the category of information visualization from the perspective of functional theory, and the case and design features of different types of information visualization. The benefit of this is the ability to quickly identify which part of the "Information visualization" area is most valuable to the current job.

Danyel Fisher in an article on animation visualization (Danyel Fisher, Steven Drucker, Roland Fernandez, and Xiaoji Chen, vis-à-vis:a visual Languag E for spreadsheet visualizations, No. msr-tr-2011-142, June 2011) mentions a dimension of data visualization: "Show-Explore" (Presentation--explorer), which is considered to be a good way to interpret information visualization from the perspective of functional theory.

Here is a picture of the meaning of the dimension of "unfolding-exploring".

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