R/table_addSingleLocation.R
table_addSingleLocation.Rd
Incoming longitude
and latitude
values are compared
against the incoming locationTbl
to see if they are already within
distanceThreshold
meters of an existing entry. A new record is created for
if the location is not already found in locationTbl
.
table_addSingleLocation(
locationTbl = NULL,
longitude = NULL,
latitude = NULL,
distanceThreshold = NULL,
stateDataset = "NaturalEarthAdm1",
elevationService = NULL,
addressService = NULL,
verbose = TRUE
)
Tibble of known locations.
Single longitude in decimal degrees E.
Single latitude in decimal degrees N.
Distance in meters.
Name of spatial dataset to use for determining state codes, Default: "NaturalEarthAdm1".
Name of the elevation service to use for determining the elevation. Default: NULL. Accepted values: "usgs".
Name of the address service to use for determining the street address. Default: NULL. Accepted values: "photon".
Logical controlling the generation of progress messages.
Updated tibble of known locations.
# \donttest{
library(MazamaLocationUtils)
# Fail gracefully if any resources are not available
try({
# Set up standard directories and spatial data
spatialDataDir <- tempdir() # typically "~/Data/Spatial"
initializeMazamaSpatialUtils(spatialDataDir)
locationTbl <- get(data("wa_monitors_500"))
nrow(locationTbl)
# Coulee City, WA
lon <- -119.290904
lat <- 47.611942
locationTbl <-
locationTbl %>%
table_addSingleLocation(lon, lat, distanceThreshold = 500)
nrow(locationTbl)
}, silent = FALSE)
#> [1] 79
# }