Package index

mydata
 Example data for openair

importADMS()
 CERC Atmospheric Dispersion Modelling System (ADMS) data import function(s) for openair

importEurope()
 Import air quality data from European database

importKCL()
 Import data from King's College London networks

importMeta()
 Import monitoring site meta data for UK and European networks

importTraj()
 Import precalculated HYSPLIT 96hour 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
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()
 Kmeans 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

importTraj()
 Import precalculated HYSPLIT 96hour back trajectories

trajCluster()
 Calculate clusters for back trajectories

trajLevel()
 Trajectory level plots with conditioning

trajPlot()
 Trajectory line plots with conditioning

TheilSen()
 Tests for trends using TheilSen 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

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

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

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

openColours()
 Predefined openair colours and definition of userdefined colours

quickText()
 Automatic text formatting for openair

drawOpenKey()
 Scale key handling for openair

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