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openair (version 0.5-2)

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

4,956

Version

0.5-2

License

GPL (>= 2)

Maintainer

David Carslaw

Last Published

August 24th, 2011

Functions in openair (0.5-2)

Estimate NO2/NOX emission ratios from monitoring data

openair-package

Tools for the analysis of air pollution data

Linear relations between pollutants

Import pre-calculated HYSPLIT 96-hour back trajectories

Calculate common model evaluation statistics

Generic functions for handling openair outputs

Import monitoring site meta data

Calculate rollingMean values

Function to rapidly provide an overview of air quality data

Taylor Diagram for model evaluation with conditioning

Bivariate polarAnnulus plot

Bivariate polar plot with smoothing

Traditional wind rose plot and pollution rose variation

Generic data import for openair

SAQN data import for openair

Diurnal, day of the week and monthly variation

Kernel density plot for daily mean exceedance statistics

ADMS data import function(s) for openair

Calculate percentile values from a time series

openair colours

Function to plot percentiles by wind direction

Function to extract run lengths greater than a threshold

Flexible scatter plots

AURN csv file data import for openair

Automatic text formatting for openair

Calculate clusters for back tracectories

Trajectory plots with conditioning

Calculate summary statistics for air pollution data by year

Import data from King's College London networks

Calculate smoothTrends

Function to plot wind speed/direction frequencies and other statistics

Subset a data frame based on date

Function to calculate timeAverages for data frames

Plot time series

Plot time series values in convential calendar format

corrgram plot with conditioning

conditionalQuantile

Conditional quantile estimates for model evaluation

K-means clustering of bivariate polar plots

Divide up a data frame by time

AURN data import for openair

Scale key handling for openair

Example data for openair

Function to split data in different ways for conditioning

Mann-Kendall trend tests

Tests for trends using Theil-Sen estimates