Add predictors to sdm_area

This function includes new predictors to the sdm_area object.

Usage

add_predictors(sa, pred, variables_selected = NULL, gdal = TRUE)

get_predictors(i)

Arguments

sa

A sdm_area object.

pred

RasterStack, SpatRaster, stars or sf object with predictors data.

variables_selected

character vector with variables names in pred to be used as predictors. If NULL adds all variables.

gdal

Boolean. Force the use or not of GDAL when available. See details.

i

input_sdm or sdm_area object to retrieve data from.

Value

For add_predictors the same input sdm_area object is returned including the pred data binded to the previous grid. get_predictors retrieves the grid from the i object.

Details

add_predictors returns a sdm_area object with a grid built upon the x parameter. There are two ways to make the grid and resample the variables in sdm_area: with and without gdal. As standard, if gdal is available in you machine it will be used (gdal = TRUE), otherwise sf/stars will be used.

See also

sdm_area predictors bioc

Author

Luíz Fernando Esser (luizesser@gmail.com) and Reginaldo Ré. https://luizfesser.wordpress.com

Examples

# Create sdm_area object:
sa <- sdm_area(parana, cell_size = 25000, crs = 6933)
#> ! Making grid over study area is an expensive task. Please, be patient!
#> ℹ Using GDAL to make the grid and resample the variables.

# Include predictors:
sa <- add_predictors(sa, bioc)
#> ! Making grid over the study area is an expensive task. Please, be patient!
#> ℹ Using GDAL to make the grid and resample the variables.

# Retrieve predictors data:
get_predictors(sa)
#> Simple feature collection with 367 features and 8 fields
#> Geometry type: POLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -5276744 ymin: -3295037 xmax: -4626744 ymax: -2795037
#> Projected CRS: WGS 84 / NSIDC EASE-Grid 2.0 Global
#> First 10 features:
#>    cell_id GID0 CODIGOIB1 NOMEUF2 SIGLAUF3     bio1 bio4    bio12
#> 1        6   19        41       0        0 22.45938 1285 261.4752
#> 2        7   19        41       0        0 22.39415 1243 258.4977
#> 3        8   19        41       0        0 22.25541 1220 258.4987
#> 4        9   19        41       0        0 22.19232 1203 259.3725
#> 5       10   19        41       0        0 22.12438 1189 257.6924
#> 6       11   19        41       0        0 22.38992 1192 257.7096
#> 7       12   19        41       0        0 22.40336 1234 254.7985
#> 8       13   19        41       0        0 22.39525 1247 255.8951
#> 9       14   19        41       0        0 22.18080 1288 259.5389
#> 10      31   19        41       0        0 22.20547 1317 267.3304
#>                          geometry
#> 1  POLYGON ((-5151744 -2795037...
#> 2  POLYGON ((-5126744 -2795037...
#> 3  POLYGON ((-5101744 -2795037...
#> 4  POLYGON ((-5076744 -2795037...
#> 5  POLYGON ((-5051744 -2795037...
#> 6  POLYGON ((-5026744 -2795037...
#> 7  POLYGON ((-5001744 -2795037...
#> 8  POLYGON ((-4976744 -2795037...
#> 9  POLYGON ((-4951744 -2795037...
#> 10 POLYGON ((-5176744 -2820037...