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Prepare data for SSF movement/permeability analyses for wild and semi-domesticated reindeer within SAM

data_prep_ssf_movement_rein.Rd

This function takes in the already annotated data for SSF with either wild or semi-domesticated reindeer and further prepare columns and variables for the model fitting procedure. The function is suited for step resource selection functions (SSF) only.

Usage

data_prep_ssf_movement_rein(
  dat,
  season,
  prediction = FALSE,
  fixwind = TRUE,
  land_cover_factor = FALSE,
  land_cover = c("norut_smd", "norut", "smd", "nmd")[1],
  ref_landcover = "heathland",
  include_zoi_nearest = FALSE,
  species = c("wrein", "trein")[1],
  prefix = c("along_", "endpt_", "")[1],
  prefix_cross = "cross",
  reference_year = lubridate::year(lubridate::now()),
  use_binary_vars_as_categorical = FALSE,
  formula = NULL
)

Arguments

dat

[data.frame]
Annotated data set for analysis.

season

[string]{"sum", "cal", "win"}
Season of interest. One of "sum", "cal", or "win".

prediction

[logical(1)=FALSE]
Additional changes that should only be done in the grid for prediction.

land_cover

[string(1)="norut_smd"]{"norut_smd", "norut", "smd", "nmd"}
Which land cover map should be used for analysis. It prepares the corresponding classes as

include_zoi_nearest

[logical(1)=FALSE]
By default, FALSE. It should be set to TRUE if there are variables representing the ZOI of the nearest feature in the formula. Relevant only for prediction (using the grid).

prefix

[string(1)="endpt_]{"endpt_", "along_", ""}
Prefix for the variable, whether "endpt_" or "along_" for variables measures in the end point or along the step, and "" for normal RSF or for the prediction using the grid.