Match Species and Model Rasters and Create a Data Frame

Match species and environmental rasters to build data frame for modeling

Usage

match_pa_model_rasters(
  pa_rasters,
  model_data,
  add_static = TRUE,
  static_variables
)

Arguments

pa_rasters

rasterStack representing fisheries presence, absence, and effort with a layer for each timestep. Layers should be named by timestamp, for example, month.year

model_data

A list containing rasterStacks of each environmental variable to be matched, or the output of norm_env. Each member of the list should have a name which will correspond to the environmental variable's column name in the resulting dataframe. Each rasterStack should have the same number of layers as pa_rasters, and each layer should have a name that can be matched to the names in pa_rasters

add_static

TRUE/FALSE to add static variables such as bathymetry. If TRUE, staticData needs to be supplied.

static_variables

list of rasters containing static variables such as bathymetry. Names of the listed rasters will become the column names.

Value

merge_pa_model_rasters returns a data frame with the following columns:

• x, y, month, year indicating longitude, latitude, month, and year

• value - the column indicating presence, absence, and effort from the fisheries raster

• A number of columns equal to the length of model_data with the same names containing the corresponding environmental data at each location

• A number of columns equal to the length of static_variables, if add_static = T, with column names matching the names of the rasters in the list