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
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This picture shows views of the places rated data (Boyer and Savageau, 1981) in the C2 environment in the implementation dating to May 1996. There are 329 cities around the United States that have 9 livability measures associated with them. The top pictures show the places as plotted on a US map, and the bottom row pictures show plots of 3 of the livability measures: climate (horizontal), housing cost (vertical) and education (depth).In the second column of plots, a group of points (with good climate but high housing cost) has been "painted" with a green brush and it is found that they are all cities in California. In the last column of plots, San Francisco is identified as having a high value on education, also.
People involved at this stage were: Brad Kohlmeyer , Dianne Cook , Jürgen Symanzik , Carolina Cruz-Neira , More information can be found in this working paper.
Stage: November 1996
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At this stage we focused on the user interface design. Several tools allow a user to interact with the environment. The features include a toolbox to select color, glyph type and size. Creating a custom brush is supported by the design box which enables a user to create a paintbrush for marking different data points. The rotation interface allows the user to examine the entire data set from different angles. All interaction employs audiofeedback in addition to visual response.
People involved at this stage were: Uli Lechner, Dianne Cook , Carolina Cruz-Neira , Jürgen Symanzik , Latest version of the paper .
Stage: April 1997
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.
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.
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Acknowledgements
This research was supported by grant number 9632662 from the National Science Foundation.Comments
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