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Research On The Application Of Visual Graphics In Visual Information Chart

Posted on:2022-01-29Degree:MasterType:Thesis
Country:ChinaCandidate:J ZhouFull Text:PDF
GTID:2505306326983859Subject:Art Design
Abstract/Summary:PDF Full Text Request
In this information age of data explosion,people are mainly visual senses,and their sensitivity to graphics is far beyond simple text representation.Under the background of big data era,people need to receive massive information.Information visualization design can simplify the expression of complex data and efficiently transfer it to the public.Therefore,visual information chart design is gradually recognized and widely used by people,and the forms of expression are more diverse.The research of visual graphic design in visual information chart plays an important role in the application of information visualization.Through consulting literature,visual information chart can be divided into relevance chart,time distribution chart,spatial structure chart and deductive chart according to text,graph and data.The relevance chart is selected for detailed research and analysis,and the relevance relationship in the relevance chart is divided into more sub relationships,It is helpful to classify the visual information charts,explore the expression ways of different categories,design the corresponding visual graphics mode,and use it as the basic library,which has rich forms of expression.The application of graphics and colors in information visualization can not only enhance the visual effect of visual information charts and give full play to the role of information visualization,but also improve the speed of readers’ reading and facilitate the public to obtain core information in the complex information society.It can deepen the understanding of information visualization design and provide reference for the research of other types of charts by classifying and designing the different expressions of association relationship in association charts as much as possible.
Keywords/Search Tags:Visual information chart, visual graph, relation, expression form
PDF Full Text Request
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