eval_spatial: Evaluate spatial covariates

In inlabru-org/inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Evaluate spatial covariates

Description

Evaluate spatial covariates

Usage

eval_spatial(data, where, layer = NULL, selector = NULL)

## S3 method for class 'SpatialPolygonsDataFrame'
eval_spatial(data, where, layer = NULL, selector = NULL)

## S3 method for class 'SpatialPixelsDataFrame'
eval_spatial(data, where, layer = NULL, selector = NULL)

## S3 method for class 'SpatialGridDataFrame'
eval_spatial(data, where, layer = NULL, selector = NULL)

## S3 method for class 'sf'
eval_spatial(data, where, layer = NULL, selector = NULL)

## S3 method for class 'SpatRaster'
eval_spatial(data, where, layer = NULL, selector = NULL)

## S3 method for class 'stars'
eval_spatial(data, where, layer = NULL, selector = NULL)

Arguments

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

Methods (by class)

• eval_spatial(SpatialPolygonsDataFrame): Compatibility wrapper for eval_spatial.sf

• eval_spatial(sf): Supports point-in-polygon information lookup. Other combinations are untested.

inlabru-org/inlabru documentation built on April 25, 2024, 2:43 p.m.