sspm_dataset model elementsR/accessors-methods-sspm_dataset.R
accessors-methods-sspm_dataset.RdAll methods described here allow to access the elements of contained in objects of class sspm_dataset.
spm_data(sspm_object)
# S4 method for class 'sspm_dataset'
spm_data(sspm_object)
spm_data(object) <- value
# S4 method for class 'sspm_dataset'
spm_data(object) <- value
# S4 method for class 'sspm_dataset'
spm_name(sspm_object)
# S4 method for class 'sspm_dataset'
spm_name(object) <- value
# S4 method for class 'sspm_dataset'
spm_unique_ID(sspm_object)
# S4 method for class 'sspm_dataset'
spm_unique_ID(object) <- value
spm_coords_col(sspm_object)
# S4 method for class 'sspm_dataset'
spm_coords_col(sspm_object)
spm_coords_col(object) <- value
# S4 method for class 'sspm_dataset'
spm_coords_col(object) <- value
# S4 method for class 'sspm_dataset'
spm_time(sspm_object)
# S4 method for class 'sspm_dataset'
spm_time(object) <- value
spm_biomass_vars(sspm_object)
# S4 method for class 'sspm_dataset'
spm_biomass_vars(sspm_object)
spm_biomass_vars(object) <- value
# S4 method for class 'sspm_dataset'
spm_biomass_vars(object) <- value
spm_density_vars(sspm_object)
# S4 method for class 'sspm_dataset'
spm_density_vars(sspm_object)
spm_density_vars(object) <- value
# S4 method for class 'sspm_dataset'
spm_density_vars(object) <- value
spm_formulas(sspm_object)
# S4 method for class 'sspm_dataset'
spm_formulas(sspm_object)
spm_formulas(object) <- value
# S4 method for class 'sspm_dataset'
spm_formulas(object) <- value
# S4 method for class 'sspm_dataset'
spm_smoothed_data(sspm_object)
# S4 method for class 'sspm_dataset'
spm_smoothed_data(object) <- value
spm_smoothed_fit(sspm_object)
# S4 method for class 'sspm_dataset'
spm_smoothed_fit(sspm_object)
spm_smoothed_fit(object) <- value
# S4 method for class 'sspm_dataset'
spm_smoothed_fit(object) <- value
spm_smoothed_vars(sspm_object)
# S4 method for class 'sspm_dataset'
spm_smoothed_vars(sspm_object)
spm_smoothed_vars(object) <- value
# S4 method for class 'sspm_dataset'
spm_smoothed_vars(object) <- value
is_mapped(sspm_object)
# S4 method for class 'sspm_dataset'
is_mapped(sspm_object)
is_mapped(object) <- value
# S4 method for class 'sspm_dataset'
is_mapped(object) <- value
# S4 method for class 'sspm_dataset'
spm_boundaries(sspm_object)
# S4 method for class 'sspm_dataset'
spm_boundaries(object) <- value[sspm_dataset] An object of class sspm_dataset.
[sspm_dataset] An object of class sspm_dataset.
typically an array-like R object of a similar class as
x.
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_data(biomass_dataset)
#> Simple feature collection with 1800 features and 8 fields
#> Geometry type: POINT
#> Dimension: XY
#> Bounding box: xmin: -64.13859 ymin: 46.01421 xmax: -46.86366 ymax: 60.81292
#> Geodetic CRS: WGS 84
#> First 10 features:
#> year_f sfa weight_per_km2 temp_at_bottom lon_dec lat_dec row
#> 1 1995 7 14.70372 [kg/km^2] 1.3054569 -62.82016 59.19084 1
#> 2 1995 7 365.72370 [kg/km^2] 0.0000000 -56.70318 55.19117 2
#> 3 1995 7 108.39527 [kg/km^2] 0.9818056 -60.60656 56.88572 3
#> 4 1995 7 62.31766 [kg/km^2] 0.0000000 -57.98659 56.42020 4
#> 5 1995 7 0.00000 [kg/km^2] 0.6982752 -59.04377 57.08357 5
#> 6 1995 7 0.00000 [kg/km^2] 1.4510729 -58.79227 56.30274 6
#> 7 1995 7 236.15051 [kg/km^2] 1.0511097 -51.05171 50.69749 7
#> 8 1995 7 68.19999 [kg/km^2] 0.0000000 -54.06121 54.52411 8
#> 9 1995 7 93.62156 [kg/km^2] 1.8644427 -54.94126 53.67627 9
#> 10 1995 7 25.42231 [kg/km^2] 1.7439115 -54.71695 50.45287 10
#> uniqueID geometry
#> 1 y1995s7r1 POINT (-62.82016 59.19084)
#> 2 y1995s7r2 POINT (-56.70318 55.19117)
#> 3 y1995s7r3 POINT (-60.60656 56.88572)
#> 4 y1995s7r4 POINT (-57.98659 56.4202)
#> 5 y1995s7r5 POINT (-59.04377 57.08357)
#> 6 y1995s7r6 POINT (-58.79227 56.30274)
#> 7 y1995s7r7 POINT (-51.05171 50.69749)
#> 8 y1995s7r8 POINT (-54.06121 54.52411)
#> 9 y1995s7r9 POINT (-54.94126 53.67627)
#> 10 y1995s7r10 POINT (-54.71695 50.45287)