GeoCovDisplay: Image plot displaying the pattern of the sparsness of a...

In GeoModels: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis

Image plot displaying the pattern of the sparsness of a covariance matrix.

Description

Image plot displaying the pattern of the sparsness of a covariance matrix.

Usage

GeoCovDisplay(covmatrix,limits=FALSE,pch=2)

Arguments

covmatrix	An object of class GeoCovmatrix. See the Section Details.
limits	Logical; If TRUE and the covariance matrix is spatiotemporal or spatial bivariate then vertical and horizontal lines are added to the image plot.
pch	Type of symbols to use in the image plot.

Details

For a given covariance matrix object (GeoCovmatrix) the function diplays the pattern of the sparsness of a covariance matrix where the white color represents 0 entries and black color represents non zero entries

Value

Produces a plot. No values are returned.

Author(s)

Moreno Bevilacqua, [e-mail],https://sites.google.com/view/moreno-bevilacqua/home, Víctor Morales Oñate, [e-mail], https://sites.google.com/site/moralesonatevictor/, Christian", Caamaño-Carrillo, [e-mail],https://www.researchgate.net/profile/Christian-Caamano

See Also

GeoCovmatrix

Examples

library(GeoModels)


  # Define the spatial-coordinates of the points:
x <- runif(100, 0, 2)
y <- runif(100, 0, 2)
coords=cbind(x,y)
matrix1 <- GeoCovmatrix(coordx=coords, corrmodel="GenWend", param=list(smooth=0,
                      power2=4,sill=1,scale=0.2,nugget=0))
 
GeoCovDisplay(matrix1)

GeoModels documentation built on April 13, 2025, 5:09 p.m.