calculate_merra2: Calculate meteorological and atmospheric covariates

In amadeus: Accessing and Analyzing Large-Scale Environmental Data

Calculate meteorological and atmospheric covariates

Description

Extract meteorological and atmospheric values at point locations. Returns a data.frame object containing locs_id, date and hour, vertical pressure level, and meteorological or atmospheric variable. Variable column name reflects variable and circular buffer radius.

Usage

calculate_merra2(
  from,
  locs,
  locs_id = NULL,
  radius = 0,
  fun = "mean",
  geom = FALSE,
  ...
)

Arguments

from	SpatRaster(1). Output of process_merra2().
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

calculate_geos(), process_merra2()

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_merra2(
  from = merra2, # derived from process_merra2() 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.