plot.sk

Geostatistical modeling and kriging with
gridded data using spatially separable covariance functions (Kronecker
covariances). Kronecker products in these models provide shortcuts for
solving large matrix problems in likelihood and conditional mean,
making 'snapKrig' computationally efficient with large grids. The package
supplies its own S3 grid object class, and a host of methods including
plot, print, Ops, square bracket replace/assign, and more. Our computational
methods are described in Koch, Lele, Lewis (2020) <doi:10.7939/r3-g6qb-bq70>.

Dean Koch

snapKrig

Fast Kriging and Geostatistics on Grids with Kronecker
Covariance

plot.sk function

<dl><dt>x</dt>
<dd>a sk object</dd>
<dt>...</dt>
<dd>other arguments passed to sk_plot</dd></dl>

Arguments

Heatmap plots — plot.sk

<dl>

<dt>x</dt>
<dd>a sk object</dd>


<dt>...</dt>
<dd>other arguments passed to sk_plot</dd>

</dl>

plot.sk: Heatmap plots

Description

Usage

Value

Arguments

See Also

Examples