Tools to analyse, interpret and understand air pollution data. Data are typically hourly time series and both monitoring data and dispersion model output can be analysed. Many functions can also be applied to other data, including meteorological and traffic data.
|Author||David Carslaw [aut, cre], Karl Ropkins [aut]|
|Date of publication||2016-11-23 17:45:02|
|Maintainer||David Carslaw <email@example.com>|
|License||GPL (>= 2)|
airbaseFindCode: Helper function to find EEA airbase site codes
airbaseInfo: Get information about airbase sites and instruments
airbaseSplice: Function to simplify and combine airbase data imports
airbaseStats: Import pre-calculated airbase statistics
aqStats: Calculate summary statistics for air pollution data by year
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...
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...
importAirbase: Import hourly data from the European Environment Agency...
importAURN: Import data from the UK Automatic Urban and Rural Network...
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...
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...
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
windRose: Traditional wind rose plot and pollution rose variation