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Calculate EDGAR covariates

Source: R/calculate_covariates.R
calculate_edgar.Rd

Extract EDGAR gridded emissions values at point locations. For radius = 0, cell values are extracted directly. For radius > 0, means are calculated over a circular buffer around each location.

Usage

calculate_edgar(
  from,
  locs,
  locs_id = "site_id",
  radius = 0,
  weights = NULL,
  .by_time = NULL,
  geom = FALSE,
  ...
)

Arguments

from

SpatRaster(1). Output from process_edgar().

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

numeric(1). Circular buffer distance around site locations. Default is 0.

weights

NULL, SpatRaster, polygon SpatVector/sf, or file path. Optional weights raster for weighted extraction. If NULL (default), unweighted extraction is performed.

.by_time

NULL or character(1). Optional time grouping key used with .by_time for temporal summaries.

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_edgar()

Author

Mariana Alifa Kassien, Insang Song

Examples

## NOTE: Example is wrapped in `\dontrun{}` as function requires data that is
##       not included in the package.
if (FALSE) { # \dontrun{
loc <- data.frame(id = "001", lon = -78.90, lat = 35.97)
calculate_edgar(
  from = edgar, # derived from process_edgar() example
  locs = loc,
  locs_id = "id",
  radius = 0,
  geom = FALSE
)
} # }