Listar por tema "Geostatistics"
Mostrando ítems 1-6 de 6
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A Poisson cokriging method for bivariate count data
Elsevier (2023)Bivariate spatially correlated count data appear naturally in several domains such as ecology, economy and epidemiology. Current methods for analysing such data lack simplicity, interpretability and computational awareness. ... -
Object oriented data analysis under spatial correlation
WILEY-VCH (2014-09)This is a discussion of the following paper: “Overview of object oriented data analysis” by J. Steve Marron and Andre ́s M. Alonso. -
On potentially negative space time covariances obtained as sum of products of marginal ones
Springer Verlag (2008)Most of the literature on spatio-temporal covariance models proposes structures that are positive in the whole domain. However, problems of physical, biological or medical nature need covariance models allowing for ...
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On the performance of two clustering methods for spatial functional data
Springer Verlag (2015-10)The performance of two clustering strategies for spatially correlated functional data based on the same measure of spatial dependence is examined and compared. In particular, the role of the spatial dependence computed by ...
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Optimal dynamic spatial sampling
John Wiley & Sons Ltd (2016)This paper provides new tools for dynamic spatial sampling designs to find the optimal spatial mean estimation and the optimal spatial prediction, based on the temporal variation of the spatial dependence structure. We ...
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Recent advances to model anisotropic space–time data
Springer-Verlag (2008-05)Building new and flexible classes of nonseparable spatio-temporal covariances and variograms has resulted a key point of research in the last years. The goal of this paper is to present an up-to-date overview of recent ...
