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Calculate TerraClimate covariates

Source: R/calculate_covariates.R
calculate_terraclimate.Rd

Extract TerraClimate values at point locations. Returns a data.frame object containing locs_id and TerraClimate variable. TerraClimate variable column name reflects the TerraClimate variable and circular buffer radius.

Usage

calculate_terraclimate(
  from = NULL,
  locs = NULL,
  locs_id = NULL,
  radius = 0,
  fun = "mean",
  geom = FALSE,
  ...
)

Arguments

from

SpatRaster(1). Output from process_terraclimate().

locs

data.frame. character to file path, SpatVector, or sf object.

locs_id

character(1). Column within locations CSV file containing identifier for each unique coordinate location.

radius

integer(1). Circular buffer distance around site locations. (Default = 0).

fun

character(1). Function used to summarize multiple raster cells within sites location buffer (Default = mean).

geom

FALSE/"sf"/"terra".. Should the function return with geometry? Default is FALSE, options with geometry are "sf" or "terra". The coordinate reference system of the sf or SpatVector is that of from.

...

Placeholders.

Value

a data.frame or SpatVector object

Note

TerraClimate data has monthly temporal resolution, so the $time column will contain the year and month in YYYYMM format (ie. January, 2018 = 201801).

See also

process_terraclimate()

Author

Mitchell Manware

Examples

## NOTE: Example is wrapped in `\dontrun{}` as function requires a large
##       amount of data which is not included in the package.
if (FALSE) { # \dontrun{
loc <- data.frame(id = "001", lon = -78.90, lat = 35.97)
calculate_terraclimate(
  from = terraclimate, # derived from process_terraclimate() example
  locs = loc,
  locs_id = "id",
  radius = 0,
  fun = "mean",
  geom = FALSE
)
} # }