The function to use to find which sites are available is
getMeta(). While this function can be run using different
options, it can be easiest to run it without any options. This produces
a map of all the available sites, which can be quickly accessed.
Click to expand the markers until you find the site of interest (shown by a blue marker). This reveals some site information including the site name and the start and end date of available data. The most important information revealed in the marker is the code, which is used to access the data.
getMeta()
#> # A tibble: 12,811 × 12
#> usaf wban station ctry st call latit…¹ longi…² elev(…³ begin
#> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <date>
#> 1 010060 99999 EDGEOYA NO <NA> <NA> 78.2 22.8 14 1973-01-01
#> 2 010070 99999 NY-ALESUND SV <NA> <NA> 78.9 11.9 7.7 1973-01-06
#> 3 010080 99999 LONGYEAR SV <NA> ENSB 78.2 15.5 26.8 1975-09-29
#> 4 010090 99999 KARL XII O… SV <NA> <NA> 80.6 25 5 1955-01-01
#> 5 010100 99999 ANDOYA NO <NA> ENAN 69.3 16.1 13.1 1931-01-03
#> 6 010110 99999 KVITOYA SV <NA> <NA> 80.1 31.5 10 1986-11-18
#> 7 010150 99999 HEKKINGEN … NO <NA> <NA> 69.6 17.8 14 1980-03-14
#> 8 010160 99999 KONGSOYA NO <NA> <NA> 78.9 28.9 20 1993-05-01
#> 9 010170 99999 AKSELOYA SV <NA> <NA> 77.7 14.8 6 1973-01-01
#> 10 010200 99999 SORKAPPOYA SV <NA> <NA> 76.5 16.6 10 2010-10-08
#> # … with 12,801 more rows, 2 more variables: end <date>, code <chr>, and
#> # abbreviated variable names ¹latitude, ²longitude, ³`elev(m)`When using getMeta() it will probably be useful to read
the information into a data frame. Note that plot = FALSE
stops the function from providing the map.
Often, one has an idea of the region in which a site is of interest. For example, if the interest was in sites close to London, the latitude and longitude can be supplied and a search is carried out of the 10 nearest sites to that location. There is also an option n that can be used in change the number of nearest sites shown. If a lat/lon is provided, clicking on the blue marker will show the approximate distance between the site and the search coordinates.
getMeta(lat = 51.5, lon = 0)
#> # A tibble: 10 × 15
#> usaf wban station ctry st call latit…¹ longi…² elev(…³ begin
#> <chr> <chr> <chr> <chr> <chr> <chr> <dbl> <dbl> <dbl> <date>
#> 1 037683 99999 CITY UK <NA> EGLC 51.5 0.055 5.8 1988-01-29
#> 2 037700 99999 ST JAMES P… UK <NA> <NA> 51.5 -0.117 5 2009-12-18
#> 3 037663 99999 BIGGIN HILL UK <NA> EGKB 51.3 0.033 182. 1988-01-05
#> 4 037810 99999 KENLEY AIR… UK <NA> <NA> 51.3 -0.083 170 1988-02-01
#> 5 036720 99999 NORTHOLT UK <NA> EGWU 51.6 -0.418 37.8 1973-01-01
#> 6 037720 99999 HEATHROW UK <NA> EGLL 51.5 -0.461 25.3 1948-12-01
#> 7 037760 99999 GATWICK UK <NA> EGKK 51.1 -0.19 61.6 1973-01-01
#> 8 036800 99999 ROTHAMSTED UK <NA> <NA> 51.8 -0.358 128 2013-08-20
#> 9 037690 99999 CHARLWOOD UK <NA> <NA> 51.1 -0.229 68 1992-03-01
#> 10 036830 99999 STANSTED UK <NA> EGSS 51.9 0.235 106. 1973-01-01
#> # … with 5 more variables: end <date>, code <chr>, longr <dbl>, latr <dbl>,
#> # dist <dbl>, and abbreviated variable names ¹latitude, ²longitude,
#> # ³`elev(m)`