openair2.18-2 package

Calculate summary statistics for air pollution data by year

Bin data, calculate mean and bootstrap 95 % confidence interval in the...

Bootsrap confidence intervals in the mean

Estimate NO2/NOX emission ratios from monitoring data

Calculate percentile values from a time series

Plot time series values in a conventional calendar format

Conditional quantile estimates with additional variables for model eva...

Conditional quantile estimates for model evaluation

Correlation matrices with conditioning

Function to split data in different ways for conditioning

Scale key handling for openair

CERC Atmospheric Dispersion Modelling System (ADMS) data import functi...

Import air quality data from European database

Import data from King's College London networks

Import monitoring site meta data for UK and European networks

Import pre-calculated HYSPLIT 96-hour back trajectories

Import data from individual UK Air Pollution Networks

Import data from the UK Air Pollution Networks

Linear relations between pollutants

Calculate common model evaluation statistics

openair: Tools for the Analysis of Air Pollution Data

Pre-defined openair colours and definition of user-defined colours

Function to plot percentiles by wind direction

Bivariate polarAnnulus plot

K-means clustering of bivariate polar plots

Polar plots considering changes in concentrations between two time per...

Function to plot wind speed/direction frequencies and other statistics

Function for plotting bivariate polar plots with smoothing.

Pollution rose variation of the traditional wind rose plot

Automatic text formatting for openair

Calculate rollingMean values

Rolling regression for pollutant source characterisation.

Flexible scatter plots

Subset a data frame based on date

Function to extract run lengths greater than a threshold

Calculate nonparametric smooth trends

Divide up a data frame by time

Function to rapidly provide an overview of air quality data

Taylor Diagram for model evaluation with conditioning

Tests for trends using Theil-Sen estimates

Function to calculate time averages for data frames

Plot time series

Time series plot with categories shown as a stacked bar chart

Diurnal, day of the week and monthly variation

Calculate clusters for back trajectories

Trajectory level plots with conditioning

Trajectory line plots with conditioning

Plot heat map trends

Traditional wind rose plot