Package index • openair

Data

In-built data to demonstrate openair functions.

Import tidy air quality data from the UK and Europe.

importADMS(): CERC Atmospheric Dispersion Modelling System (ADMS) data import function(s) for openair
importEurope(): Import air quality data from European database until February 2024
importImperial() importKCL(): Import data from Imperial College London networks
importMeta(): Import monitoring site meta data for UK and European networks
importTraj(): Import pre-calculated HYSPLIT 96-hour back trajectories
importAURN() importAQE() importSAQN() importWAQN() importNI() importLocal(): Import data from individual UK Air Pollution Networks
importUKAQ(): Import data from the UK Air Pollution Networks

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

Analyse and visualise HYSPLIT trajectory files.

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
runRegression(): Rolling regression for pollutant source characterisation.
smoothTrend(): Calculate nonparametric smooth trends
timePlot(): Plot time series, perhaps for multiple pollutants, grouped or in separate panels.
timeProp(): Time series plot with categories shown as a stacked bar chart
timeVariation(): Temporal variation plots with flexible panel control
trendLevel(): Plot heat map trends

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

Additional plotting functions for visualising air quality data.

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

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

Tools for manipulating and summarising air quality data.

aqStats(): Calculate summary statistics for air pollution data by year
binData() bootMeanDF(): Bin data, calculate mean and bootstrap confidence interval in the mean
calcPercentile(): Calculate percentile values from a time series
cutData(): Function to split data in different ways for conditioning
rollingMean(): Calculate rolling mean pollutant 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