eval_spatial

eval_spatial.SpatialPolygonsDataFrame

eval_spatial.SpatialPixelsDataFrame

eval_spatial.SpatialGridDataFrame

eval_spatial.sf

eval_spatial.SpatRaster

eval_spatial.stars

Facilitates spatial and general latent Gaussian modeling using
integrated nested Laplace approximation via the INLA package (<https://www.r-inla.org>).
Additionally, extends the GAM-like model class to more general nonlinear predictor
expressions, and implements a log Gaussian Cox process likelihood for
modeling univariate and spatial point processes based on ecological survey data.
Model components are specified with general inputs and mapping methods to the
latent variables, and the predictors are specified via general R expressions,
with separate expressions for each observation likelihood model in
multi-likelihood models. A prediction method based on fast Monte Carlo sampling
allows posterior prediction of general expressions of the latent variables.
Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019)
<doi:10.1111/2041-210X.13168>.

Finn Lindgren

inlabru

Bayesian Latent Gaussian Modelling using INLA and Extensions

Fabian E. Bachl

David L. Borchers

Daniel Simpson

Lindesay Scott-Howard

Seaton Andy

Suen Man Ho

Roudier Pierre

Meehan Tim

Reddy Peddinenikalva Niharika

Perepolkin Dmytro

eval_spatial function

<dl><dt>data</dt>
<dd>Spatial data</dd>
<dt>where</dt>
<dd>Where to evaluate the data</dd>
<dt>layer</dt>
<dd>Which <code>data</code> layer to extract (as integer or character).
May be a vector, specifying a separate layer for each <code>where</code> item.</dd>
<dt>selector</dt>
<dd>The name of a variable in <code>where</code> specifying the <code>layer</code>
information.</dd></dl>

Arguments

<ul>
<li><code>eval_spatial(SpatialPolygonsDataFrame)</code>: Compatibility wrapper for <code>eval_spatial.sf</code></li>
<li><code>eval_spatial(sf)</code>: Supports point-in-polygon information lookup.
Other combinations are untested.</li>
</ul>

Methods (by class)

Evaluate spatial covariates — eval_spatial

<dl>

<dt>data</dt>
<dd>Spatial data</dd>


<dt>where</dt>
<dd>Where to evaluate the data</dd>


<dt>layer</dt>
<dd>Which <code>data</code> layer to extract (as integer or character).
May be a vector, specifying a separate layer for each <code>where</code> item.</dd>


<dt>selector</dt>
<dd>The name of a variable in <code>where</code> specifying the <code>layer</code>
information.</dd>

</dl>

Evaluate spatial covariates

eval_spatial: Evaluate spatial covariates

Description

Usage

Arguments

Methods (by class)