In this paper an exploratory technique based on the diagonalization of cross-variogram matrices is described. Through the definition of a model for the analysis and simulation of multivariate spatial data. a test procedure for the assumption of isotropy of multivariate spatial data is proposed. Applications to simulated and real data are reported. (C) 2001 Academic Press
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2000.Includes bibliogra...
Graduation date: 2008In this thesis we focus on a graphical model for multivariate spatially\ud corr...
Abstract--This paper gives a detailed escription ofa program for the factor analysis of multivariate...
AbstractIn this paper an exploratory technique based on the diagonalization of cross-variogram matri...
Vita.In this dissertation, an approach to representing the covariance structure of spatial random va...
This paper describes a method based on multivariate geostatistics and redundancy analysis for studyi...
Multivariate geostatistical techniques take into account the statistical and spatial relationships b...
In geostatistics, methods for characterizing the spatial or temporal variation at different scales o...
In the past decade conditional autoregressive modelling specifications have found considerable appli...
We develop a new methodology for estimating and testing the form of anisotropy of homogeneous spatia...
The assumption of direction invariance, i.e. isotropy, is often made in the practical analysis of sp...
Inherent to a spatial variable is the unit of support at which it is measured. In many studies, vari...
Geostatistical analysis of spatial random functions frequently uses sample variograms computed from ...
Isotropy of a point process, defined as invariance of the distribution under rotation, is often assu...
Statistical methods that are both multivariate and spatial should, along with the GIS, be an integra...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2000.Includes bibliogra...
Graduation date: 2008In this thesis we focus on a graphical model for multivariate spatially\ud corr...
Abstract--This paper gives a detailed escription ofa program for the factor analysis of multivariate...
AbstractIn this paper an exploratory technique based on the diagonalization of cross-variogram matri...
Vita.In this dissertation, an approach to representing the covariance structure of spatial random va...
This paper describes a method based on multivariate geostatistics and redundancy analysis for studyi...
Multivariate geostatistical techniques take into account the statistical and spatial relationships b...
In geostatistics, methods for characterizing the spatial or temporal variation at different scales o...
In the past decade conditional autoregressive modelling specifications have found considerable appli...
We develop a new methodology for estimating and testing the form of anisotropy of homogeneous spatia...
The assumption of direction invariance, i.e. isotropy, is often made in the practical analysis of sp...
Inherent to a spatial variable is the unit of support at which it is measured. In many studies, vari...
Geostatistical analysis of spatial random functions frequently uses sample variograms computed from ...
Isotropy of a point process, defined as invariance of the distribution under rotation, is often assu...
Statistical methods that are both multivariate and spatial should, along with the GIS, be an integra...
Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 2000.Includes bibliogra...
Graduation date: 2008In this thesis we focus on a graphical model for multivariate spatially\ud corr...
Abstract--This paper gives a detailed escription ofa program for the factor analysis of multivariate...