raster {secr}

R Documentation

Create a RasterLayer Object from Mask or Dsurface

Description

Methods to convert secr object to a RasterLayer object.

Usage

## S4 method for signature 'mask'
raster(x, covariate, values = 1, crs = NA)

## S4 method for signature 'Dsurface'
raster(x, covariate, values = 1, crs = NA)

## S4 method for signature 'mask'
rast(x, covariate, values = 1, crs = "")

## S4 method for signature 'Dsurface'
rast(x, covariate, values = 1, crs = "")

Arguments

x	mask or Dsurface object
covariate	character name of covariate to provide values for RasterLayer
values	numeric values for RasterLayer
crs	character or object of class CRS. Optional PROJ.4 type description of a Coordinate Reference System (map projection).

Details

There are two ways to specify the values to be used. If covariate is provided then the values of the corresponding covariate of the mask or Dsurface are used. Otherwise, values is duplicated to the required number of rows.

The resulting RasterLayer may optionally include a PROJ.4 map projection defined via crs. The specification may be very simple (as in the example below) or complex, including an explicit datum and other arguments. Projections are used by sf, terra, raster, sp and other packages. See raster for further explanation and links.

The S3 classes ‘mask’ and ‘Dsurface’ are defined in secr as virtual S4 classes. This enables these extensions to the list of S4 methods defined in raster.

Although these methods work ‘standalone’, it is currently necessary to load the terra or raster package to do much with the result (e.g., plot it).

Value

RasterLayer (raster)

Note

Prior to secr 2.9.5 these methods could fail unpredictably because an intermediate array was badly dimensioned due to truncation of a floating point value.

See Also

raster

Examples

## Not run: 

shorePossums <- predictDsurface(possum.model.Ds)
tmp <- raster(shorePossums, covariate = "D.0")
library(raster)
plot(tmp, useRaster = FALSE)

## alternative with same result
tmp <- raster(shorePossums, values = covariates(shorePossums)$D.0)

## set the projection
## here the crs PROJ.4 spec refers simply to the old NZ metric grid
tmp <- raster(shorePossums, "D.0", crs = "+proj=nzmg")
## check the projection
proj4string(tmp)
     

## End(Not run)

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