sspm
model elementsR/A_accessors-methods.R
sspm-accessors-methods.Rd
All methods described here allow to access the elements of contained in objects of the different classes of the package.
spm_name(sspm_object)
spm_name(object) <- value
spm_datasets(sspm_object)
# S4 method for class 'sspm'
spm_datasets(sspm_object)
spm_datasets(object) <- value
# S4 method for class 'sspm'
spm_datasets(object) <- value
spm_boundaries(sspm_object)
# S4 method for class 'sspm'
spm_boundaries(sspm_object)
spm_boundaries(object) <- value
# S4 method for class 'sspm'
spm_boundaries(object) <- value
spm_smoothed_data(sspm_object)
# S4 method for class 'sspm'
spm_smoothed_data(sspm_object)
spm_smoothed_data(object) <- value
# S4 method for class 'sspm'
spm_smoothed_data(object) <- value
spm_time(sspm_object)
# S4 method for class 'sspm'
spm_time(sspm_object)
spm_time(object) <- value
# S4 method for class 'sspm'
spm_time(object) <- value
is_split(sspm_object)
# S4 method for class 'sspm'
is_split(sspm_object)
is_split(object) <- value
# S4 method for class 'sspm'
is_split(object) <- value
spm_unique_ID(sspm_object)
# S4 method for class 'sspm'
spm_unique_ID(sspm_object)
spm_unique_ID(object) <- value
# S4 method for class 'sspm'
spm_unique_ID(object) <- value
The object in the required slot.
data(borealis_simulated, package = "sspm")
biomass_dataset <- spm_as_dataset(data.frame(borealis_simulated), name = "borealis",
density = "weight_per_km2",
time = "year_f",
coords = c('lon_dec','lat_dec'),
uniqueID = "uniqueID")
#> ℹ Casting data matrix into simple feature collection using columns: lon_dec, lat_dec
#> ! Warning: sspm is assuming WGS 84 CRS is to be used for casting
spm_name(biomass_dataset)
#> [1] "borealis"