Slide 1Slide 2OutlineContributionMultiform Bivariate small MultipleSlide 6Multiform Bivariate MatrixMultiform Bivariate Small Multiple and MatrixFind most significant relations between attributesGenerate an ordering of attributesSlide 11Select subspaceCritiquesDemoTHANKS!Never forget your primary wealth, your and your family’s health, it will be your hope and your family’s hope for ever.Exploring High-D Spaces with Multiform Matrices and Small Multiplesby Alan MacEachren etc.Presenter:Xu LiuMing LuoOutlineContributionMain ideasDemosCritiquesContributionGeoVISTA development environmentA general framework, ready for combination of any information visualization formsDynamically visualize information with user interactionExplore high dimension by univariate and bivariate relations between attributesFind most significant relations between attributesMultiform Bivariate small MultipleMultiform Bivariate small MultipleO OOMultiform Bivariate MatrixMultiform Bivariate Small Multiple and MatrixMultiple and matrix are designed as generic JavaBean components, providing a Java interface through which any bivariate representation form (instantiated as a JavaBean) can communicate.Visualization is updated dynamically with the user’s interactionFind most significant relations between attributesMaximum conditional entropy between each pair of attributesGenerate an ordering of attributes, which keeps a hierarchical clusteringSelect subspace interactively or automaticallyGenerate an ordering of attributesA node is an attributeAn edge is the maximum conditional entropy between two attributesGenerate an ordering of attributesA node is an attributeAn edge is the maximum conditional entropy between two attributesSelect subspaceCritiquesGrid-based space-filling displayIt can not show more information than a simple scatterplot (maybe worse)Color legend needs trainingRare visualization tools for more than 2 variablesDemoBasic Usage ConditioningBi-variable: you see it’s hard to select colorsPCP: a good alternation for multi variable scatter plotBad example: who can tell me what’s going on here?THANKS!You may find the demo at
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