calculate_hms: Calculate wildfire smoke covariates

In amadeus: Accessing and Analyzing Large-Scale Environmental Data

Calculate wildfire smoke covariates

Description

Extract wildfire smoke plume values at point locations. Returns a data.frame object containing locs_id, date, and binary variable for wildfire smoke plume density inherited from from (0 = point not covered by wildfire smoke plume; 1 = point covered by wildfire smoke plume).

Usage

calculate_hms(from, locs, locs_id = NULL, radius = 0, geom = FALSE, ...)

Arguments

from	SpatVector(1). Output of process_hms().
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).
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_hms()

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_hms(
  from = hms, # derived from process_hms() example
  locs = loc,
  locs_id = "id",
  radius = 0,
  geom = FALSE
)

## End(Not run)

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