Combining Multivariate Statistical Methods and Spatial Analysis to Characterize Water Quality Conditions in the White River Basin, Indiana, U.S.A.

Combining Multivariate Statistical Methods and Spatial Analysis to Characterize Water Quality Conditions in the White River Basin, Indiana, U.S.A.

Indiana University-Purdue University Indianapolis (IUPUI) === This research performs a comparative study of techniques for combining spatial data and multivariate statistical methods for characterizing water quality conditions in a river basin. The study has been performed on the White River basin...

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Bibliographic Details
Main Author: Gamble, Andrew Stephan
Other Authors: Babbar-Sebens, Meghna
Language:en_US
Published: 2011
Subjects:
multivariate statistics
cluster analysis
support vector machine
Kohonen self-organizing map
linear discriminant analysis
principal component analysis
water quality
White River Watershed (Ind.)
Water quality > Measurement
Multivariate analysis
Cluster analysis
Online Access:http://hdl.handle.net/1805/2460

Internet

http://hdl.handle.net/1805/2460

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