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,
  gridalign = TRUE,
  gid = "gid",
  coords = c("x33", "y33"),
  crs = NULL,
  output_rescale = FALSE,
  prediction_max_quantile = 0.999,
  uncertainty_quantiles = c(0.25, 0.75),
  plotit = FALSE,
  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("wMean", "wMedian", "ind"),
  gridalign = TRUE,
  gid = "gid",
  coords = c("x33", "y33"),
  crs = NULL,
  prediction_max_quantile = 0.999,
  uncertainty_quantiles = c(0.25, 0.75),
  plotit = FALSE,
  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().