All functions

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

calcFno2()

Estimate NO2/NOX emission ratios from monitoring data

calcPercentile()

Calculate percentile values from a time series

calendarPlot()

Plot time series values in convential calendar format

conditionalEval()

Conditional quantile estimates with additional variables for model evaluation

conditionalQuantile()

Conditional quantile estimates for model evaluation

corPlot()

corrgram plot with conditioning

cutData()

Function to split data in different ways for conditioning

drawOpenKey()

Scale key handling for openair

import()

Generic data import for openair

importADMS()

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

importAURN()

Import data from the UK Automatic Urban and Rural Network (AURN)

importAURNCsv()

AURN csv file data import for openair

importKCL()

Import data from King's College London networks

importMeta()

Import monitoring site meta data for the AURN, KCL and SAQN networks

importSAQN()

Scottish Air Quality Network data import for openair

importTraj()

Import pre-calculated HYSPLIT 96-hour back trajectories

kernelExceed()

Kernel density plot for daily mean exceedance statistics

linearRelation()

Linear relations between pollutants

modStats()

Calculate common model evaluation statistics

mydata

Example data for openair

openair

Tools for the analysis of air pollution data

openColours()

openair colours

percentileRose()

Function to plot percentiles by wind direction

polarAnnulus()

Bivariate polarAnnulus plot

polarCluster()

K-means clustering of bivariate polar plots

polarFreq()

Function to plot wind speed/direction frequencies and other statistics

polarPlot()

Function for plotting bivariate polar plots with smoothing.

quickText()

Automatic text formatting for openair

rollingMean()

Calculate rollingMean values

scatterPlot()

Flexible scatter plots

selectByDate()

Subset a data frame based on date

selectRunning()

Function to extract run lengths greater than a threshold

smoothTrend()

Calculate nonparametric smooth trends

splitByDate()

Divide up a data frame by time

summaryPlot()

Function to rapidly provide an overview of air quality data

TaylorDiagram()

Taylor Diagram for model evaluation with conditioning

TheilSen()

Tests for trends using Theil-Sen estimates

timeAverage()

Function to calculate time averages for data frames

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

trajCluster()

Calculate clusters for back tracectories

trajLevel()

Trajectory level plots with conditioning

trajPlot()

Trajectory line plots with conditioning

trendLevel()

trendLevel

windRose() pollutionRose()

Traditional wind rose plot and pollution rose variation