Package index • openair

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

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 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

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

Time Series and Trends

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

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

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

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