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Looking for similar patterns among monitoring stations. Venice Lagoon application
Author(s) -
Pastres R.,
Pastore A.,
Tonellato S. F.
Publication year - 2011
Publication title -
environmetrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.68
H-Index - 58
eISSN - 1099-095X
pISSN - 1180-4009
DOI - 10.1002/env.1066
Subject(s) - partition (number theory) , identification (biology) , trophic level , computer science , sample (material) , environmental science , water quality , data mining , environmental resource management , ecology , mathematics , chemistry , chromatography , combinatorics , biology
The main purpose of this paper is to provide a classification, in terms of different trophic variables, of the sites of a water quality monitoring network located in Venice Lagoon. We apply a classification method based on functional data analysis (FDA), introduced by James and Sugar (2003), which allows to take into account sample information about the temporal dynamics of the variables of interest, as well as quantify the uncertainty in the partition. We found that classification based on FDA can provide useful insights to environmental scientists and public authorities with respect to the optimisation of monitoring networks and the identification of critical features deserving further investigation. Copyright © 2010 John Wiley & Sons, Ltd.