openair is an R package primarily developed for the analysis of air pollution measurement data but which is also of more general use in the atmospheric sciences. The package consists of many tools for importing and manipulating data, and undertaking a wide range of analyses to enhance understanding of air pollution data. In this paper we consider the development of the package with the purpose of showing how air pollution data can be analysed in more insightful ways. Examples are provided of importing data from UK air pollution networks, source identification and characterisation using bivariate polar plots, quantitative trend estimates and the use of functions for model evaluation purposes. We demonstrate how air pollution data can be anal...
According to the World Health Organization, air pollution is estimated to cause 7 million premature ...
UnrestrictedIn order to improve air quality, it is necessary to identify the sources of airborne pol...
Interventions used to improve air quality are often difficult to detect in air quality time series d...
For key stakeholders to make informed air quality management decisions it is often necessary for in-...
Air pollution problem is faced by many countries in the world. Ambient air quality studies and monit...
Continuous air quality monitoring networks were commissioned in the mid-twentieth century throughout...
Recent technological advances in collecting data on emission sources, meteorological conditions and ...
This chapter is designed as an introductory tutorial of common statistical analysis for air pollutio...
This paper outlines the development of enhanced bivariate polar plots that allow the concentrations ...
Air pollution and its consequences are negatively impacting on the world population and the environ...
The aim of this research was to develop an advanced screening model that can be used quickly to iden...
This paper presents an open platform, which collects multimodal environmental data related to air qu...
Every hour, ambient concentration data for dozens of air pollutants is collected from hundreds of m...
Special Issue on Environmental Modelling, A. Sydow, Editor.International audienceThis presentation i...
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Common...
According to the World Health Organization, air pollution is estimated to cause 7 million premature ...
UnrestrictedIn order to improve air quality, it is necessary to identify the sources of airborne pol...
Interventions used to improve air quality are often difficult to detect in air quality time series d...
For key stakeholders to make informed air quality management decisions it is often necessary for in-...
Air pollution problem is faced by many countries in the world. Ambient air quality studies and monit...
Continuous air quality monitoring networks were commissioned in the mid-twentieth century throughout...
Recent technological advances in collecting data on emission sources, meteorological conditions and ...
This chapter is designed as an introductory tutorial of common statistical analysis for air pollutio...
This paper outlines the development of enhanced bivariate polar plots that allow the concentrations ...
Air pollution and its consequences are negatively impacting on the world population and the environ...
The aim of this research was to develop an advanced screening model that can be used quickly to iden...
This paper presents an open platform, which collects multimodal environmental data related to air qu...
Every hour, ambient concentration data for dozens of air pollutants is collected from hundreds of m...
Special Issue on Environmental Modelling, A. Sydow, Editor.International audienceThis presentation i...
Copyright © 2014 ISSR Journals. This is an open access article distributed under the Creative Common...
According to the World Health Organization, air pollution is estimated to cause 7 million premature ...
UnrestrictedIn order to improve air quality, it is necessary to identify the sources of airborne pol...
Interventions used to improve air quality are often difficult to detect in air quality time series d...