Abstract
Often, an exploratory data analysis reveals that geostatistical data are not homogeneous over the region under study, and that their means, variances and/or correlation functions are different from one area to another. This paper proposes and illustrates a new methodology for the segmentation of a region into homogeneous areas, based on a criterion akin to the analysis of variance, but taking into account spatial correlations. This methodology is illustrated on simulated data and is used on a rainfall dataset from Switzerland to separate the region into homogeneous zones corresponding to low rain / high rain zones (rain fronts).
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© 1999 Springer Science+Business Media Dordrecht
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Allard, D., Monestiez, P. (1999). Geostatistical Segmentation of Rainfall Data. In: Gómez-Hernández, J., Soares, A., Froidevaux, R. (eds) geoENV II — Geostatistics for Environmental Applications. Quantitative Geology and Geostatistics, vol 10. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9297-0_12
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DOI: https://doi.org/10.1007/978-94-015-9297-0_12
Publisher Name: Springer, Dordrecht
Print ISBN: 978-90-481-5249-0
Online ISBN: 978-94-015-9297-0
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