spatial_cor

Extract the approximated spatial correlation between one coordinate
and other coordinates using a sparse precision and SPDE mesh

Fits a wide variety of multivariate spatio-temporal models
with simultaneous and lagged interactions among variables (including
vector autoregressive spatio-temporal ('VAST') dynamics)
for areal, continuous, or network spatial domains.
It includes time-variable, space-variable, and space-time-variable
interactions using dynamic structural equation models ('DSEM')
as expressive interface, and the 'mgcv' package to specify splines
via the formula interface. See Thorson et al. (2025)
<doi:10.1111/geb.70035> for more details.

James Thorson

tinyVAST

Multivariate Spatio-Temporal Models using Structural Equations

spatial_cor function

<dl><dt>Q</dt>
<dd>sparse precision matrix</dd>
<dt>mesh</dt>
<dd>SPDE mesh</dd>
<dt>coord</dt>
<dd>vector of length-2 with spatial coordinates for focal point</dd>
<dt>pred</dt>
<dd>matrix with two columns and multiple rows, with location
for points to predict correlation</dd></dl>

Arguments

Approximate spatial correlation — spatial_cor

<dl>

<dt>Q</dt>
<dd>sparse precision matrix</dd>


<dt>mesh</dt>
<dd>SPDE mesh</dd>


<dt>coord</dt>
<dd>vector of length-2 with spatial coordinates for focal point</dd>


<dt>pred</dt>
<dd>matrix with two columns and multiple rows, with location
for points to predict correlation</dd>

</dl>

spatial_cor: Approximate spatial correlation

Description

Usage

Value

Arguments