Dynamic Statistical Data Exploration in the C2


Overview

Dynamic statistical graphics enables data analysts in all fields to carry out visual investigations leading to insights into relationships in complex data that consists of many different variables. The data consists of multiple observations taken on the same object or measured at the same place. Dynamic statistical graphics involves methods for viewing data in the form of point clouds or modeled surfaces. Higher dimensional data can be projected into 1-, 2- or 3-dimensional planes in a set of multiple views or as a continuous sequence of views which constitutes motion through the higher dimensional space containing the data. There is a strong history of statistical graphics research on developing tools for visualizing relationships between many variables. Much of this work is documented in videos available from the American Statistical Association Statistical Graphics Section Video Lending Library (contact: dfs@research.att.com). In the C2 environment we plan to examine the familiar tools in a new technology and to use the special features of this virtual reality environment to develop completely new tools for the visualization of high dimensional data. The applications of the work will extend to almost all areas of science. In particular we will examine spatially dependent data, for example, data collected over geographical domains for environmental assessment, and agricultural applications.

Stage: May 1996

Stage: November 1996

Stage: April 1997

This picture shows views of the mid-Atlantic streams water chemistry data. The elevation of the region is shown as a surface on the floor, and the sampling sites are plotted on this surface. The viewing box contains the scatterplot of the measured variables.

We have data on 501 sampling sites on streams in the mid-Atlantic states of Delaware, Maryland, New York, Pennsylvania, Virginia, and West Virginia. At each site the subset of measurements we use are Closed System pH, Calcium (ueq/L), Sodium (ueq/L), Ammonium (ueq/L), Chloride (ueq/L), Nitrate (ueq/L), Sulfate (ueq/L), Dissolved Organic Carbon (mg/L), Total Suspended Solids (mg/L), and Total Phosphorous (ug/L). In addition to these measurements we have the latitude and longitude, elevation, and the Aggregated Omernik Level 4 ecoregion membership of each sampling site.

This is a picture of Laura in the C2 interacting with the streams data.

People involved at this stage were: Laura Nelson , Dianne Cook , Jürgen Symanzik , Carolina Cruz-Neira , Anthony Olsen, Sue Pierson, Nicholas Lewin. More information can be found in this article Environmental Monitoring and Assessment, 51:441-450.

Additional Information can be obtained here:

Publications:

Personnel

Acknowledgements

This research was supported by grant number 9632662 from the National Science Foundation.

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