plot.GeoCorrFct

Plot Spatial and Spatio-temporal correlation or covariance of (non) Gaussian random fields
 for a given set of spatial or spatiotemporal distances
 <code>GeoCorrFct</code>.

correlation

Functions for Gaussian and Non Gaussian (bivariate) spatial and spatio-temporal data analysis are provided for a) (fast) simulation of random fields, b) inference for random fields using standard likelihood and a likelihood approximation method called weighted composite likelihood based on pairs and b) prediction using (local) best linear unbiased prediction. Weighted composite likelihood can be very efficient for estimating massive datasets. Both regression and spatial (temporal) dependence analysis can be jointly performed. Flexible covariance models for spatial and spatial-temporal data on Euclidean domains and spheres are provided. There are also many useful functions for plotting and performing diagnostic analysis. Different non Gaussian random fields can be considered in the analysis. Among them, random fields with marginal distributions such as Skew-Gaussian, Student-t, Tukey-h, Sin-Arcsin, Two-piece, Weibull, Gamma, Log-Gaussian, Binomial, Negative Binomial and Poisson. See the URL for the papers associated with this package, as for instance, Bevilacqua and Gaetan (2015) <doi:10.1007/s11222-014-9460-6>, Bevilacqua et al. (2016) <doi:10.1007/s13253-016-0256-3>, Vallejos et al. (2020) <doi:10.1007/978-3-030-56681-4>, Bevilacqua et. al (2020) <doi:10.1002/env.2632>, Bevilacqua et. al (2021) <doi:10.1111/sjos.12447>, Bevilacqua et al. (2022) <doi:10.1016/j.jmva.2022.104949>, Morales-Navarrete et al. (2023) <doi:10.1080/01621459.2022.2140053>, and a large class of examples and tutorials.

Moreno Bevilacqua

GeoModels

Procedures for Gaussian and Non Gaussian Geostatistical (Large)
Data Analysis

Víctor Morales-Oñate

Francisco Cuevas-Pacheco

Christian Caamaño-Carrillo

plot.GeoCorrFct function

<dl> <dt>x</dt>
<dd>an object of the class <code>"GeoCorrFct"</code></dd> <dt>type</dt>
<dd>The type of graphic. The possible options are "p" and "l". If "p" then a point type graphic is displayed. 
 Otherwise a lines type graphic displayed.</dd> <dt>...</dt>
<dd>Other graphical options arguments.
 <code><a href="/link/plot?package=GeoModels&version=2.2.1" data-mini-rdoc="GeoModels::plot">plot</a></code></dd></dl>

Arguments

Plot Spatial and Spatio-temporal correlation or  covariance of (non) Gaussian random fields — plot.GeoCorrFct

<dl>

 <dt>x</dt>
<dd>an object of the class <code>"GeoCorrFct"</code></dd>

 <dt>type</dt>
<dd>The type of graphic. The possible options are "p" and "l". If "p" then a point type graphic is displayed. 
 Otherwise a lines type graphic displayed.</dd>

 <dt>...</dt>
<dd>Other graphical options arguments.
 <code><a href='https://rdrr.io/r/graphics/plot.default.html'>plot</a></code></dd>

</dl>

plot.GeoCorrFct: Plot Spatial and Spatio-temporal correlation or covariance of (non) Gaussian random fields

Description

Usage

Value

Arguments

Details

See Also