This vignette outlines some core functionality in openairmaps. For further examples, please see the online book.
Access UK Monitoring Data with Lat/Lng Information
openair::importUKAQ() has the meta argument
which appends the latitude and longitude of each site to the returned
data. If not using data from importUKAQ(), ensure that your
data has coordinate data appended in a similar way.
london_data <-
openair::importUKAQ(site = c("my1", "hors", "cll2"), year = 2020, meta = TRUE)
london_data
#> # A tibble: 26,352 × 22
#> source site code date nox no2 no o3 so2 pm10
#> <chr> <chr> <chr> <dttm> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 aurn London … CLL2 2020-01-01 00:00:00 61.9 40.0 14.3 1.33 1.21 44.9
#> 2 aurn London … CLL2 2020-01-01 01:00:00 62.3 37.9 15.9 1.60 1.73 48.5
#> 3 aurn London … CLL2 2020-01-01 02:00:00 68.7 37.2 20.5 2.00 1.23 49.1
#> 4 aurn London … CLL2 2020-01-01 03:00:00 60.2 36.5 15.5 2.05 1.23 53.1
#> 5 aurn London … CLL2 2020-01-01 04:00:00 34.9 28.2 4.32 7.58 1.23 46.3
#> 6 aurn London … CLL2 2020-01-01 05:00:00 32.4 27.7 3.06 7.33 0.844 43.7
#> 7 aurn London … CLL2 2020-01-01 06:00:00 35.8 29.9 3.84 6.64 1.23 46.1
#> 8 aurn London … CLL2 2020-01-01 07:00:00 46.3 36.2 6.60 4.29 1.23 42.7
#> 9 aurn London … CLL2 2020-01-01 08:00:00 116. 40.6 49.1 1.70 2.66 42.8
#> 10 aurn London … CLL2 2020-01-01 09:00:00 127. 41.6 55.5 2.05 3.18 42.1
#> # ℹ 26,342 more rows
#> # ℹ 12 more variables: pm2.5 <dbl>, v10 <dbl>, v2.5 <dbl>, nv10 <dbl>,
#> # nv2.5 <dbl>, ws <dbl>, wd <dbl>, air_temp <dbl>, co <dbl>, site_type <chr>,
#> # latitude <dbl>, longitude <dbl>
names(london_data)
#> [1] "source" "site" "code" "date" "nox" "no2"
#> [7] "no" "o3" "so2" "pm10" "pm2.5" "v10"
#> [13] "v2.5" "nv10" "nv2.5" "ws" "wd" "air_temp"
#> [19] "co" "site_type" "latitude" "longitude"To find sites to import data from, you can visualise and search UK
monitoring networks using networkMap().
networkMap(source = c("aurn", "aqe"), year = 2020, control = "variable")