Supporting visual analysis of federal geospatial statistics

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.

REFERENCES

• 1: Richard Chimera , Ben Shneiderman, An exploratory evaluation of three interfaces for browsing large hierarchical tables of contents, ACM Transactions on Information Systems (TOIS), v.12 n.4, p.383-406, Oct. 1994 [doi>10.1145/185462.185483]
• 2: Xiping Dai , Frank Hardisty, Conditioned and manipulable matrix for visual exploration, Proceedings of the 2002 annual national conference on Digital government research, p.1-4, May 19-22, 2002, Los Angeles, California
• 3: Gahegan, M., Takatsuka, M., Wheeler, M., and Hardisty, F. Introducing GeoVISTA Studio: An integrated suite of visualization and computational methods for exploration and knowledge construction in geography. Computers, Environment and Urban Systems 26, 4 (2001), 267--292.
• 4: MacEachren, A.M., Hardisty, F., Gahegan, M., Wheeler, M., Dai, X., Guo, D., and Takatsuka, M. Supporting visual integration and analysis of geospatially-referenced statistics through Web-deployable, cross-platform tools. In Proceeding of the National Conference for Digital Government Research (Los Angeles, CA, May 21--23, 2001), 17--24.
• 5: Singh, G.K., Miller, B.A., and Hankey, B.F. Area socioeconomic status and changing patterns in U.S. cancer mortality, 1950--1998: Part II---Lung and colorectal cancers. J. of the National Cancer Institute.

INDEX TERMS

Primary Classification:
  F. Theory of Computation
  F.4 MATHEMATICAL LOGIC AND FORMAL LANGUAGES
      F.4.1 Mathematical Logic

Additional Classification:
  J. Computer Applications
  J.1 ADMINISTRATIVE DATA PROCESSING

Keywords:
GIS, spatio-temporal