calculate_population: Calculate population density covariates

In amadeus: Accessing and Analyzing Large-Scale Environmental Data

Calculate population density covariates

Description

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

Arguments

from	SpatRaster(1). Output of process_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

Author(s)

Mitchell Manware

See Also

process_population()

Examples

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

## End(Not run)

amadeus documentation built on April 4, 2025, 12:21 a.m.