bag_predict_spat: Predict bag of models in space

In NINAnor/oneimpact: Tools for the assessment of the cumulative impacts of anthropogenic features in ecological studies

Predict bag of models in space

Description

Predict bag of models in space

Usage

bag_predict_spat(
  bag,
  data,
  input_type = c("df", "rast")[1],
  output_type = c("df", "rast")[2],
  prediction_type = c("exp", "exponential", "linear")[1],
  standardize = FALSE,
  what = c("mean", "median", "ind"),
  gid = "gid",
  coords = c("x33", "y33"),
  crs = NULL,
  gridalign = FALSE,
  output_rescale = FALSE,
  prediction_max_quantile = 0.999,
  uncertainty_quantiles = c(0.25, 0.75),
  verbose = FALSE
)

bag_predict_spat_vars(
  bag,
  data,
  predictor_table_zoi,
  input_type = c("df", "rast")[1],
  output_type = c("df", "rast")[2],
  prediction_type = c("exp", "exponential", "linear")[1],
  standardize = FALSE,
  what = c("mean", "median", "ind"),
  gid = "gid",
  coords = c("x33", "y33"),
  crs = NULL,
  gridalign = FALSE,
  prediction_max_quantile = 0.999,
  uncertainty_quantiles = c(0.25, 0.75),
  verbose = FALSE
)

Arguments

bag	⁠[bag,list]⁠ A bag of models, resulting from a call to bag_models().
data	⁠[data.frame,SpatRaster]⁠ The spatial grid or stack of rasters with the layers in space, to be used for the spatial prediction. All variables in the bag$formula must be present in data.
input_type	⁠[string(1)="df"]{"df","rast"}⁠ Type of input object. Either a data.frame with the predictor variables as columns (if input_type = "df", default), or a SpatRaster with the predictor variables as layers (if input_type = "rast"). So far, only input_type = "df" is implemented.
output_type	⁠[string(1)="rast"]{"df","rast"}⁠ Type of output object. Typically, the same type of object as input_type, but rasters can also be saved if the input is a data.frame when output_type = "rast", and data.frames can also be saved if the input is a SpatRaster when output_type = "df".
prediction_type	⁠[string(1)="exp"]{"exp", "exponential", "linear"}⁠ Type of transformation for the prediction. One of "exp" or "expornential" for exponential response or "linear" for linear response.
gid	⁠[string(1)="gid"]⁠ String with the name of the "gid" or point ID column in data. Only relevant if input_type = "df".
coords	⁠[vector,string(2)=c("x", "y")]⁠ Vector with two elements with the names of the coordinates representing (x,y) coordinates for the pixels. Only relevant if input_type = "df".
crs	⁠[string(1)=NULL]⁠ Code for the coordinate reference system of the output raster. Only relevant if input_type = "df". For more details, check terra::crs().

NINAnor/oneimpact documentation built on June 14, 2025, 12:27 a.m.