Web-based collaborative tools for geospatial data exploration

Authors:
Xiping Dai;Diansheng Guo;Alan MacEachren;Biliang Zhou;Jin Chen;James Macgill
Affiliations:
Pennsylvania State University, University Park, PA;Pennsylvania State University, University Park, PA;Pennsylvania State University, University Park, PA;Pennsylvania State University, University Park, PA;Pennsylvania State University, University Park, PA;Pennsylvania State University, University Park, PA
Venue:
dg.o '04 Proceedings of the 2004 annual national conference on Digital government research
Year:
2004

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Coordinating computational and visual approaches for interactive feature selection and multivariate clustering

Information Visualization - Special issue on coordinated and multiple views in exploratory visualization

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Abstract

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 fields, including exploratory data analysis (EDA), geovisualization, information visualization, and data mining. Important components of our research are supported by a NSF Digital Government grant (#99883451). Other support comes from a National Cancer Institute (NCI) contract. Our DG research is now being extended to develop comprehensive multivariate analysis methods and tools, through a grant from NCI (CA95949).