Extract environmental data by date

Function to extract environmental data by date. It generates training and testing datasets using a random partition with a specified proportion.

Usage

ex_by_date(this_species, train_prop = 0.7)

Arguments

this_species

Species Temporal Data object. See sp_temporal_data for details.

train_prop

Numeric. Proportion of data to use for training. For example, a train_prop of 0.7 means 70% of the data will be used for training and 30% for testing.

Value

An object of class sp.temporal.env that consists in a list of five elements:

1. "temporal_df": a temporal data.frame (temporal_df) with the following columns: latitude, longitude, year, layer_dates, layers_path, cell_ids_year, and environmental data.

2. "sp_date_var": Name of date variable.

3. "lon_lat_vars": Names of the longitude and latitude variables.

4. "layers_ext": Environmental layers extension.

5. "env_data": Environmental data of occurrences.

Examples

# \donttest{
library(tenm)
data("abronia")
tempora_layers_dir <- system.file("extdata/bio",package = "tenm")
abt <- tenm::sp_temporal_data(occs = abronia,
                              longitude = "decimalLongitude",
                              latitude = "decimalLatitude",
                              sp_date_var = "year",
                              occ_date_format="y",
                              layers_date_format= "y",
                              layers_by_date_dir = tempora_layers_dir,
                              layers_ext="*.tif$")
abtc <- tenm::clean_dup_by_date(abt,threshold = 10/60)
future::plan("multisession",workers=2)
abex <- tenm::ex_by_date(this_species = abtc,
                         train_prop=0.7)
future::plan("sequential")
# }