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openair (version 0.8-1)

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

6,172

Version

0.8-1

License

GPL (>= 2)

Maintainer

David Carslaw

Last Published

February 24th, 2013

Functions in openair (0.8-1)

conditionalEval

Conditional quantile estimates with additional variables for model evaluation

Tests for trends using Theil-Sen estimates

ADMS data import function(s) for openair

Import pre-calculated HYSPLIT 96-hour back trajectories

SAQN data import for openair

Plot time series values in convential calendar format

Generic data import for openair

Scale key handling for openair

AURN csv file data import for openair

Diurnal, day of the week and monthly variation

Calculate common model evaluation statistics

openair-package

Tools for the analysis of air pollution data

Function to plot percentiles by wind direction

Generic functions for handling openair outputs

K-means clustering of bivariate polar plots

Time series plot with categories shown as a stacked bar chart

Calculate clusters for back tracectories

Estimate NO2/NOX emission ratios from monitoring data

Trajectory plots with conditioning

Kernel density plot for daily mean exceedance statistics

corrgram plot with conditioning

AURN data import for openair

Flexible scatter plots

Bivariate polar plot with smoothing

Import data from King's College London networks

Calculate summary statistics for air pollution data by year

Linear relations between pollutants

Calculate smoothTrends

Divide up a data frame by time

conditionalQuantile

Conditional quantile estimates for model evaluation

openair colours

Example data for openair

Function to calculate timeAverages for data frames

Function to split data in different ways for conditioning

Calculate percentile values from a time series

Automatic text formatting for openair

Function to rapidly provide an overview of air quality data

Subset a data frame based on date

Traditional wind rose plot and pollution rose variation

Calculate rollingMean values

Function to plot wind speed/direction frequencies and other statistics

Function to extract run lengths greater than a threshold

Plot time series

Taylor Diagram for model evaluation with conditioning

Bivariate polarAnnulus plot

Import monitoring site meta data