Create a new Variable object by automatically calculating all metadata from the underlying data. This function is useful when pre-calculated metadata are not available. Note this function will take longer to create variables than other functions because it requires performing geospatial operations.

new_variable_from_auto(
  dataset,
  index,
  units = "",
  type = "auto",
  colors = "random",
  provenance = "missing",
  labels = "missing",
  hidden = FALSE
)

Arguments

dataset

Dataset file path for the dataset.

index

character or integer indicating the field/layer with the data.

units

character units for the values in the underlying data.

type

character indicating if the data contain continuous ("continuous") or categorical ("categorical") numerical values. Defaults to "auto" such that data are automatically identified.

colors

character object containing the colors for visualization (see Details for more information). Defaults to "random" such that colors are randomly generated.

provenance

character value indicating the type of provenance. The argument must be a valid type (see new_provenance_from_source()). Defaults to "missing".

labels

character object containing manual legend labels. Defaults to "missing".

hidden

logical indicating if variable will be hidden from map. Defaults to "FALSE". If hidden, a NullLegend is used

Value

A Variable object.

Details

The argument to colors can be a vector of different colors (in hexadecimal format, e.g. "#112233"), or a single charactercontaining the name of a color palette that is used to generate a vector of different colors (see [color_palette()] for more information). The color palette name"random"` is also available, such that colors are generated using a randomly selected palette.

Examples

# find data file paths
f1 <- system.file(
  "extdata", "projects", "sim_raster", "sim_raster_spatial.tif",
  package = "wheretowork"
)
f2 <- system.file(
  "extdata",  "projects", "sim_raster", "sim_raster_attribute.csv.gz",
  package = "wheretowork"
)
f3 <- system.file(
  "extdata",  "projects", "sim_raster", "sim_raster_boundary.csv.gz",
  package = "wheretowork"
)

# create new dataset
d <- new_dataset(f1, f2, f3)

# create new variable
v <- new_variable_from_auto(d, index = 1)

# print object
print(v)
#> Variable
#>   dataset: .../sim_raster_spatial.tif
#>   index:   Brown_necked_Parrot_Brown_necked_
#>   total:   1052
#>   units:   
#>   provenance:   missing