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Calculate gridMET covariates

Source: R/calculate_covariates.R
calculate_gridmet.Rd

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

Usage

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

Arguments

from

SpatRaster(1). Output from process_gridmet().

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

See also

process_gridmet()

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_gridmet(
  from = gridmet, # derived from process_gridmet() example
  locs = loc,
  locs_id = "id",
  radius = 0,
  fun = "mean",
  geom = FALSE
)
} # }