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The traj_data dataset is provided as an example dataset as part of the openairmaps package. The dataset contains HYSPLIT back trajectory data for air mass parcels arriving in London in 2009. It has been joined with air quality pollutant concentrations from the "London N. Kensington" AURN urban background monitoring site.

Usage

traj_data

Format

A data frame with 53940 rows and 10 variables:

date

The arrival time of the air-mass

receptor

The receptor number

year

Trajectory year

month

Trajectory month

day

Trajectory day

hour

Trajectory hour

hour.inc

Trajectory hour offset from the arrival date

lat

Latitude

lon

Longitude

height

Height of trajectory in m

pressure

Pressure of the trajectory in Pa

date2

Date of the trajectory

nox

Concentration of oxides of nitrogen (NO + NO2)

no2

Concentration of nitrogen dioxide (NO2)

o3

Concentration of ozone (O3)

pm10

Concentration of particulates (PM10)

pm2.5

Concentration of fine particulates (PM2.5)

Source

traj_data was compiled from data using the openair::importTraj() function from the openair package with air quality data from openair::importAURN() function.

Details

traj_data is supplied with the openairmaps package as an example dataset for use with documented examples.

Examples


# basic structure
head(traj_data)
#> # A tibble: 6 × 17
#>   date                receptor  year month   day  hour hour.inc   lat    lon
#>   <dttm>                 <int> <dbl> <int> <int> <int>    <dbl> <dbl>  <dbl>
#> 1 2010-04-15 00:00:00        1  2010     4    15     0        0  51.5 -0.1  
#> 2 2010-04-15 00:00:00        1  2010     4    14    23       -1  51.7  0.139
#> 3 2010-04-15 00:00:00        1  2010     4    14    22       -2  51.9  0.378
#> 4 2010-04-15 00:00:00        1  2010     4    14    21       -3  52.1  0.618
#> 5 2010-04-15 00:00:00        1  2010     4    14    20       -4  52.2  0.859
#> 6 2010-04-15 00:00:00        1  2010     4    14    19       -5  52.4  1.10 
#> # ℹ 8 more variables: height <dbl>, pressure <dbl>, date2 <dttm>, nox <dbl>,
#> #   no2 <dbl>, o3 <dbl>, pm2.5 <dbl>, pm10 <dbl>