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Scientific visualization (also spelled scientific visualisation) is an interdisciplinary branch of science concerned with the visualization of scientific phenomena. [2] It is also considered a subset of computer graphics , a branch of computer science.
Mathematical visualization is used throughout mathematics, particularly in the fields of geometry and analysis. Notable examples include plane curves , space curves , polyhedra , ordinary differential equations , partial differential equations (particularly numerical solutions, as in fluid dynamics or minimal surfaces such as soap films ...
Data and information visualization (data viz/vis or info viz/vis) [2] is the practice of designing and creating easy-to-communicate and easy-to-understand graphic or visual representations of a large amount [3] of complex quantitative and qualitative data and information with the help of static, dynamic or interactive visual items.
Interactive visualization or interactive visualisation is a branch of graphic visualization in computer science that involves studying how humans interact with computers to create graphic illustrations of information and how this process can be made more efficient. For a visualization to be considered interactive it must satisfy two criteria:
Visualization through visual imagery has been an effective way to communicate both abstract and concrete ideas since the dawn of man. Examples from history include cave paintings, Egyptian hieroglyphs, Greek geometry, and Leonardo da Vinci's revolutionary methods of technical drawing for engineering and scientific purposes.
Spatial ability is the capacity to understand, reason and remember the visual and spatial relations among objects or space. [1] There are four common types of spatial abilities: spatial or visuo-spatial perception, spatial visualization, mental folding and mental rotation. [3]
[3] [4] Similar pursuits are information visualization, data visualization, statistical graphics, information design, or information architecture. [2] Infographics have evolved in recent years to be for mass communication , and thus are designed with fewer assumptions about the readers' knowledge base than other types of visualizations. [ 5 ]
Firstly, visual learning engages students, note that student engagement is one of the most important factors that motivate students to learn. Visuals increase student interest with the use of graphics animation and video. Consequently, it has been found that students pay greater attention to lecture material when visuals are used.