Learn R Programming

⚠️There's a newer version (2.19.0) of this package.Take me there.

openair (version 0.3-9)

Open-source 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 meteorlogical and traffic data.

Copy Link

Version

Install

install.packages('openair')

Monthly Downloads

4,751

Version

0.3-9

License

GPL (>= 2)

Maintainer

David Carslaw

Last Published

September 15th, 2010

Functions in openair (0.3-9)

ADMS data import function(s) for openair

Example data for openair

Scale key handling for openair

openair-package

Tools for the analysis of air pollution data

Import data from King's College London networks

Subset a data frame based on date

Function to split data in different ways for conditioning

Calculate smoothTrends

AURN csv file data import for openair

Pre-process a data frame containing dispersion model-measurement data

Linear relations between pollutants

Calculate percentile values from a time series

Bivariate polarAnnulus plot

Mann-Kendall trend tests

Automatic text formatting for openair

Calculate rollingMean values

Divide up a data frame by time

Flexible scatterPlots

AURN data import for openair

Function to rapidly provide an overview of air quality data

Plot time series values in convential calendar format

Function to plot wind speed/direction frequencies and other statistics

Traditional windRose plot and pollutionRose variation

Function to calculate timeAverages for data frames

Estimate NO2/NOX emission ratios from monitoring data

openair colours

Diurnal and day of week variation

Generic data import for openair

Bivariate polarPlot with smoothing

Plot time series