Open Conference Systems, 50th Scientific meeting of the Italian Statistical Society

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Object oriented spatial statistics for georeferenced tensor data
Alessandra Menafoglio, Davide Pigoli, Piercesare Secchi

Last modified: 2018-05-28


We address the problem of analysing a spatial dataset of manifold-valued observations. We propose to model the data by using a local approximation of the Riemannian manifold through a Hilbert space, where linear geostatistical methods can be developed. We discuss estimation methods for the proposed model, and consistently develop a Kriging technique for tensor data. The methodological developments are illustrated through the analysis of a real dataset dealing with covariance between temperatures and precipitation in the Quebec region of Canada


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