Exploration Of The Ecological Status Of
Mediterranean Rivers: Clustering,
Visualizing And Reconstructing Streams Data
Using Generative Topographic Mapping
Author(s)
D. Vicente, A. Vellido, E. Martí, J. Comas
& I. Rodriguez-Roda
Abstract
The STREAMES (STream REAch Management, an Expert System) European
project is an attempt to develop a knowledge-based environmental decision
support system (KB-EDSS) to help water managers in making decisions. Such a
KB-EDSS involves the evaluation of the ecological status of a river. Particular
emphasis is placed on Mediterranean locations. The data from the STREAMES
project are scarce and incomplete. They include several types of variables,
including physical, chemical and biological parameters. The following
preliminary question must be addressed: are we allowed to assume that the same
water quality model is valid over the variety of rivers under consideration, or
should we assume a different model for each river? Between these two extreme
assumptions, rivers could be grouped according to the available measurements.
This is a clustering problem, and the current study attempts to find an answer to
the posed question using the Generative Topographic Mapping (GTM), a
probabilistic alternative to the Self-Organizing Map (SOM). Amongst the many
advantages of the probabilistic setting of GTM, one is especially relevant to the
problem at hand: its ability to reconstruct missing data in a principled way.
Keywords: Generative Topographic Mapping (GTM), ecological status of a
river, clustering, data visualization, missing data, decision support system, SOM.
Keywords
Generative Topographic Mapping (GTM), ecological status of a river, clustering, data visualization, missing data, decision support system, SOM.
Related Book
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