View source: R/isd_stations_search.R
isd_stations_search | R Documentation |
Search for NOAA ISD/ISH station data from NOAA FTP server.
isd_stations_search(lat = NULL, lon = NULL, radius = NULL, bbox = NULL)
lat |
(numeric) Latitude, in decimal degree |
lon |
(numeric) Latitude, in decimal degree |
radius |
(numeric) Radius (in km) to search from the lat,lon coordinates |
bbox |
(numeric) Bounding box, of the form: min-longitude, min-latitude, max-longitude, max-latitude |
We internally call isd_stations()
to get the data.frame
of ISD stations, which is quite fast as long as it's not the first time
called since we cache the table. Before searching, we clean up the
data.frame, removing stations with no lat/long coordinates, those with
impossible lat/long coordinates, and those at 0,0.
When lat/lon/radius input we use meteo_distance()
to search
for stations, while when bbox is input, we simply use
dplyr::filter()
a data.frame with the columns:
usaf - USAF number, character
wban - WBAN number, character
station_name - station name, character
ctry - Country, if given, character
state - State, if given, character
icao - ICAO number, if given, character
lat - Latitude, if given, numeric
lon - Longitude, if given, numeric
elev_m - Elevation, if given, numeric
begin - Begin date of data coverage, of form YYYYMMDD, numeric
end - End date of data coverage, of form YYYYMMDD, numeric
distance - distance (km) (only present if using lat/lon/radius parameter combination)
https://ftp.ncdc.noaa.gov/pub/data/noaa/
Other isd:
isd_read()
,
isd_stations()
,
isd()
## Not run:
## lat, long, radius
isd_stations_search(lat = 38.4, lon = -123, radius = 250)
x <- isd_stations_search(lat = 60, lon = 18, radius = 200)
if (requireNamespace("leaflet")) {
library("leaflet")
leaflet() %>%
addTiles() %>%
addCircles(lng = x$lon,
lat = x$lat,
popup = x$station_name) %>%
clearBounds()
}
## bounding box
bbox <- c(-125.0, 38.4, -121.8, 40.9)
isd_stations_search(bbox = bbox)
## End(Not run)
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