Xiping Dai

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We introduce an approach to visual analysis of multivariate data that integrates several methods from information visualization, exploratory data analysis (EDA), and geovisualization. The approach leverages the component-based architecture implemented in GeoVISTA Studio to construct a flexible, multiview, tightly (but generically) coordinated, EDA toolkit.(More)
Federal government agencies generate, summarize, and disseminate a large and growing volume of statistical data that can be linked through common geospatial referencing. The potential of this data is often unrealized because agencies and their data users lack usable and useful data analysis tools that support multivariate geospatial data exploration and(More)
Federal government agencies have collected large and highly complex federal statistical summaries and geo-reference data. Methods and tools for identifying patterns and uncovering multivariate relationships in the complex datasets have drawn attention in multiple fields. The approach we present here extends from and integrates perspectives from multiple(More)
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