Pluviometric regionalization of Catalunya: a compositional data methodology
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/366728
Tipus de documentText en actes de congrés
Data publicació2011
EditorCIMNE
Condicions d'accésAccés obert
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Abstract
The aim of this paper is to introduce a methodology for de¯ning groups from regionalized com-
positional data, through a hierarchical clustering algorithm aware of both the spatial dependence
and the compositional character of the data set. This method is used to de¯ne a regionalization of
Catalunya (NE Spain) with respect to its precipitation patterns in the Winter season. This region
is characterized by a highly contrasted topography, which plays a dominant role in the spatial
distribution of precipitation. Each rain gauge station is characterized by the relative frequencies
of occurrence of six intervals of daily precipitation amount (classes ranging from \no rain" for
precipitation below 3 mm, to \heavy storm" above 50 mm). Recognizing that frequencies are com-
positional data, the spatial dependence of this data set has been characterized by variograms of the
set of all pair-wise log-ratios, in the fashion of the variation matrix. Then, a Mahalanobis distance
between stations has been de¯ned using these variograms to ensure that gauges with high spatial
correlation get smaller distances. This spatially-dependent distance criterion has been used in a
Ward hierarhical cluster method to de¯ne the regions. Results reveal 5 quite homogeneous groups
of stations, which can be mostly ascribed a physical meaning. Finally, possible links to regional
circulation patterns are discussed.
CitacióGibergans Bàguena, J.; Ortego Martínez, M.I.; Tolosana Delgado, R. Pluviometric regionalization of Catalunya: a compositional data methodology. A: CODAWORK 2011. "Proceedings of CoDaWork'11: 4th international workshop on Compositional Data Analysis, Egozcue, J.J., Tolosana-Delgado, R. and Ortego, M.I. (eds.) 2011". Barcelona: CIMNE, 2011, ISBN 978-84-87867-76-7.
ISBN978-84-87867-76-7
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