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Data

In-built data to demonstrate openair functions.

mydata
Example data for openair

Import

Import tidy air quality data from the UK and Europe.

importADMS()
CERC Atmospheric Dispersion Modelling System (ADMS) data import function(s) for openair
importAQE()
Import data from the Air Quality England
importAURN()
Import data from the UK Air Pollution Networks
importEurope()
Import air quality data from European database
importKCL()
Import data from King's College London networks
importLocal()
Import data from locally managed AQ networks in England.
importMeta()
Import monitoring site meta data for the UK and European networks
importNI()
Import data from the Northern Ireland Air Quality Network
importSAQN()
Import data from the Scottish Air Quality Network
importTraj()
Import pre-calculated HYSPLIT 96-hour back trajectories
importWAQN()
Import data from the Welsh Air Quality Network

Directional Analysis

Polar Analysis

Examine the relationship between wind speed, wind direction and pollutant concentrations.

percentileRose()
Function to plot percentiles by wind direction
polarAnnulus()
Bivariate polarAnnulus plot
polarCluster()
K-means clustering of bivariate polar plots
polarDiff()
Polar plots considering changes in concentrations between two time periods
polarFreq()
Function to plot wind speed/direction frequencies and other statistics
polarPlot()
Function for plotting bivariate polar plots with smoothing.
pollutionRose()
Pollution rose variation of the traditional wind rose plot
windRose()
Traditional wind rose plot

Trajectory Analysis

Analyse and visualise HYSPLIT trajectory files.

importTraj()
Import pre-calculated HYSPLIT 96-hour back trajectories
trajCluster()
Calculate clusters for back trajectories
trajLevel()
Trajectory level plots with conditioning
trajPlot()
Trajectory line plots with conditioning

Examine how pollutant concentrations change with time.

TheilSen()
Tests for trends using Theil-Sen estimates
calendarPlot()
Plot time series values in a conventional calendar format
smoothTrend()
Calculate nonparametric smooth trends
timePlot()
Plot time series
timeProp()
Time series plot with categories shown as a stacked bar chart
timeVariation()
Diurnal, day of the week and monthly variation
trendLevel()
Plot heat map trends

Model Evaluation

Compare models against measurements and models against other models.

TaylorDiagram()
Taylor Diagram for model evaluation with conditioning
conditionalEval()
Conditional quantile estimates with additional variables for model evaluation
conditionalQuantile()
Conditional quantile estimates for model evaluation
modStats()
Calculate common model evaluation statistics

Other Plots

Additional plotting functions for visualising air quality data.

summaryPlot()
Function to rapidly provide an overview of air quality data
scatterPlot()
Flexible scatter plots
corPlot()
Correlation matrices with conditioning
linearRelation()
Linear relations between pollutants
calcFno2()
Estimate NO2/NOX emission ratios from monitoring data

Utilities

Plot Utilities

Tools for refining openair plots.

openColours()
Pre-defined openair colours and definition of user-defined colours
quickText()
Automatic text formatting for openair
drawOpenKey()
Scale key handling for openair

Data Utilities

Tools for manipulating and summarising air quality data.

aqStats()
Calculate summary statistics for air pollution data by year
binData()
Bin data, calculate mean and bootstrap 95 % confidence interval in the mean
bootMeanDF()
Bootsrap confidence intervals in the mean
calcPercentile()
Calculate percentile values from a time series
cutData()
Function to split data in different ways for conditioning
rollingMean()
Calculate rollingMean values
selectByDate()
Subset a data frame based on date
selectRunning()
Function to extract run lengths greater than a threshold
splitByDate()
Divide up a data frame by time
timeAverage()
Function to calculate time averages for data frames