Abstract--This paper gives a detailed escription ofa program for the factor analysis of multivariate data from samples taken in a physical environment. The spatial correlation of the samples is represented by a model of nested spatial structures. The correlations of the variables are summarized by performing a principal component analysis on the coefficients of the spatial structures. The result is a linear model of the coregionalization that can be used for factorial kriging, conditional simulation, and cokriging. The program could be written for a microcomputer connected to a mainframe
A software program for the personal computer, written in the \u27C\u27 language, was developed to an...
Summary The study of a multivariate data set concerning two or more variables of the phenomenon of ...
Factor analysis is a multivariate statistical method for data reduction that originated in psychomet...
Spatial variables in the geosciences often display different patterns of variability at different sp...
Most studies of relations between soil properties fail to take account of their regionalized nature ...
A new concept of dispersion (cross) covariance has been introduced for the modeling of spatial scale...
This paper describes a method based on multivariate geostatistics and redundancy analysis for studyi...
This paper focuses on the analysis of spatially correlated functional data. We propose a parametric ...
Many multivariate statistical methods may be regarded as techniques for investigating a sample space...
Geostatistics identifies the spatial structure of variables representing several phenomena and its u...
The value of interactive computing and of interactive computer graphics is discussed with particular...
While multivariate data analysis is concerned with data in the form of random vectors, functional da...
In this paper an exploratory technique based on the diagonalization of cross-variogram matrices is d...
This paper focuses on the analysis of spatially correlated functional data. The between-curve cor-re...
Inherent to a spatial variable is the unit of support at which it is measured. In many studies, vari...
A software program for the personal computer, written in the \u27C\u27 language, was developed to an...
Summary The study of a multivariate data set concerning two or more variables of the phenomenon of ...
Factor analysis is a multivariate statistical method for data reduction that originated in psychomet...
Spatial variables in the geosciences often display different patterns of variability at different sp...
Most studies of relations between soil properties fail to take account of their regionalized nature ...
A new concept of dispersion (cross) covariance has been introduced for the modeling of spatial scale...
This paper describes a method based on multivariate geostatistics and redundancy analysis for studyi...
This paper focuses on the analysis of spatially correlated functional data. We propose a parametric ...
Many multivariate statistical methods may be regarded as techniques for investigating a sample space...
Geostatistics identifies the spatial structure of variables representing several phenomena and its u...
The value of interactive computing and of interactive computer graphics is discussed with particular...
While multivariate data analysis is concerned with data in the form of random vectors, functional da...
In this paper an exploratory technique based on the diagonalization of cross-variogram matrices is d...
This paper focuses on the analysis of spatially correlated functional data. The between-curve cor-re...
Inherent to a spatial variable is the unit of support at which it is measured. In many studies, vari...
A software program for the personal computer, written in the \u27C\u27 language, was developed to an...
Summary The study of a multivariate data set concerning two or more variables of the phenomenon of ...
Factor analysis is a multivariate statistical method for data reduction that originated in psychomet...