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openair (version 0.5-23)

Tools for the analysis of air pollution data

Description

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.

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Version

Install

install.packages('openair')

Monthly Downloads

5,974

Version

0.5-23

License

GPL (>= 2)

Maintainer

David Carslaw

Last Published

March 5th, 2012

Functions in openair (0.5-23)

Generic data import for openair

Function to rapidly provide an overview of air quality data

Generic functions for handling openair outputs

Plot time series values in convential calendar format

Function to plot percentiles by wind direction

K-means clustering of bivariate polar plots

Divide up a data frame by time

Flexible scatter plots

SAQN data import for openair

Bivariate polar plot with smoothing

Diurnal, day of the week and monthly variation

Function to extract run lengths greater than a threshold

Plot time series

Calculate rollingMean values

openair colours

openair-package

Tools for the analysis of air pollution data

Function to calculate timeAverages for data frames

Subset a data frame based on date

Calculate smoothTrends

Tests for trends using Theil-Sen estimates

Scale key handling for openair

conditionalQuantile

Conditional quantile estimates for model evaluation

Import monitoring site meta data

Calculate clusters for back tracectories

Import data from King's College London networks

AURN csv file data import for openair

Function to plot wind speed/direction frequencies and other statistics

Automatic text formatting for openair

Estimate NO2/NOX emission ratios from monitoring data

ADMS data import function(s) for openair

Calculate percentile values from a time series

Linear relations between pollutants

Calculate common model evaluation statistics

Taylor Diagram for model evaluation with conditioning

Function to split data in different ways for conditioning

AURN data import for openair

Trajectory plots with conditioning

Traditional wind rose plot and pollution rose variation

Kernel density plot for daily mean exceedance statistics

Calculate summary statistics for air pollution data by year

Example data for openair

corrgram plot with conditioning

Bivariate polarAnnulus plot

Import pre-calculated HYSPLIT 96-hour back trajectories