JSM 2005 - Toronto

Abstract #302555

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 503
Type: Invited
Date/Time: Thursday, August 11, 2005 : 10:30 AM to 12:20 PM
Sponsor: Environmental and Ecological Statistics
Abstract - #302555
Title: Geospatial Data Mining and Knowledge Discovery for MidAtlantic Watersheds for Sustainable Protection and Restoration
Author(s): Wayne L. Myers*+ and Mary McKenney-Easterling and Bronson Griscom and Kristen Hychka and Joseph Bishop and Robert Brooks and George Constantz and Ganapati P. Patil and Charles Taillie and Gian Rocco
Companies: The Pennsylvania State University and The Pennsylvania State University and Canaan Valley Institute and The Pennsylvania State University and The Pennsylvania State University and The Pennsylvania State University and Canaan Valley Institute and The Pennsylvania State University and The Pennsylvania State University and The Pennsylvania State University
Address: 733 Smith Rd., Port Matilda, PA, 16870,
Keywords: geospatial analysis ; data mining ; pattern extraction ; clustering ; water ; environment
Abstract:

In this paper, geographic information systems, principal component analysis, and contextual clustering were combined for the purpose of discovering patterns of properties upon which to base formulation of guidelines for determining opportunities to improve water quality of streams. This data mining endeavor utilized publicly available map-based information on topography, soils, streams, and land cover. Some of the variables were obtained directly, but many also required secondary computation using geospatial analysis facilities. Evaluating redundancy among variables and the associated implicit weighting was of concern. The inter- and intra-regional distribution of commonality in characteristics was of particular interest. Consistency of emergent patterns with widely held suppositions about this multitude of watersheds was assessed. The multidisciplinary and interinstitutional scope of work is noteworthy with respect to this type of pattern discovery process in the interest of enhancing environmental quality over extensive areas.

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Revised March 2005