Supporting visual analysis of federal geospatial statistics

Authors:
Alan M. MacEachren;Frank Hardisty;Xiping Dai;Linda Pickle
Affiliations:
Penn State University;Pennsylvania State University;Pennsylvania State University;National Cancer Institute
Venue:
Communications of the ACM
Year:
2003

Citing 2
Cited 2

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Abstract

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 processing.