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Calculate population density covariates

Source: R/calculate_covariates.R
calculate_sedac_population.Rd

Extract population density values at point locations. Returns a data.frame object containing locs_id, year, and population density variable. Population density variable column name reflects spatial resolution of from and circular buffer radius.

Usage

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

Arguments

from

SpatRaster(1). Output of process_sedac_population().

locs

data.frame, characater 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_sedac_population()

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_sedac_population(
  from = pop, # derived from process_sedac_population() example
  locs = loc,
  locs_id = "id",
  radius = 0,
  fun = "mean",
  geom = FALSE
)
} # }