Add UTM (Universal Transverse Mercator) coordinates to a data frame. This is useful since geostatistical modeling should generally be performed in an equal-distance projection. You can do this yourself separately with the sf::st_as_sf(), sf::st_transform(), and sf::st_coordinates() functions in the sf package.

Usage

add_utm_columns(
dat,
ll_names = c("longitude", "latitude"),
ll_crs = 4326,
utm_names = c("X", "Y"),
utm_crs = get_crs(dat, ll_names),
units = c("km", "m")
)

get_crs(dat, ll_names = c("longitude", "latitude"))

Arguments

dat

Data frame that contains longitude and latitude columns.

ll_names

Longitude and latitude column names. Note the order.

ll_crs

Input CRS value for ll_names.

utm_names

Output column names for the UTM columns.

utm_crs

Output CRS value for the UTM zone; tries to detect with get_crs() but can be specified manually.

units

UTM units.

Value

A copy of the input data frame with new columns for UTM coordinates.

Details

Note that longitudes west of the prime meridian should be encoded as running from -180 to 0 degrees.

You may wish to work in km's rather than the standard UTM meters so that the range parameter estimate is not too small, which can cause computational issues. This depends on the the scale of your data.

Examples

d <- data.frame(lat = c(52.1, 53.4), lon = c(-130.0, -131.4))
get_crs(d, c("lon", "lat"))
#> Detected UTM zone 9N; CRS = 32609.
#> Visit https://epsg.io/32609 to verify.
#> [1] 32609