The issue of monitoring air quality and making predictions related to the air quality indicators has been an active area of research for many years. The recent developments in IoT technologies facilitated the data collection and the real-time monitoring of many diverse range of sensors. Today as a result of these developments, indicators of air pollution and air quality can be monitored in real-time by the air monitoring stations. These stations are set-up by national and local agencies, and they monitor the existence of several pollutant gasses and particles in the air. The measurements conducted, are both provided online in real/near-real time and also archived in databases. The archival of these air quality measurements are stored and disseminated by national and local agencies for helping researchers to conduct research and provide predictions/tendencies on the air quality. Many countries are making significant investments to provide these indicators as open data sources. Today it is possible to acquire near-real time and historical data for many countries and cities from the local resources and portals such as OpenAQ(Open Air Quality). Although the data portals such as OpenAQ provide vast amount of air quality information globally, the timeframe and the width of country specific information(i.e. The number of measurement stations provided) in some cases is very limited. For instance, many Turkish Air Quality monitoring stations are not available on the OpenAQ portal, furthermore for most Turkish Air Quality monitoring stations, only information back to November 2016 can be obtained from the OpenAQ portal. This study was focused on developing an R package for providing 10 years of historical AQ data for all cities of Turkey. The package namely airqualitR provides data gathered from 211 AQ monitoring stations located in all cities of Turkey. The measurements provided by the packages were acquired from the national Air Quality Open Data Repository http://www.havaizleme.gov.tr which is developed in Turkish language. The aim of this development was to enable researchers to access historical Turkish Air Quality information effortlessly by using R, and to provide visualisation of this information on online maps with the help of the leaflet and google maps library and providing support for making predictions of AQ indicator values at a geo location using spatial statistics, where there is no AQ monitoring information.
presented in uRos 2017 : http://www.r-project.ro/conference2017/agenda_uRos2017.pdf
To install the package kindly use command below. If you havent installed devtools yet, please install it before running following command
devtools::install_github("olgnaydn/airqualitr/airqualitr")Let's make simple examples..
For example, if you would like to get airquality statitons in a city. You could use listlocations function
Following command, getting station names for Izmir a city from west side of Turkey, geo location info of them, available attributes in these stations
listlocations("IZMIR")If you would like to generate map to visiualize average value of spesific attribute at the stations of a city defined by you, You could directly use showstations function. It will generate bubbled map by using Google Map.
Following command could be used for generating bubbled map includes average value of PM10 collected from stations at Izmir.
showstations("IZMIR","PM10")getairq function is available for getting attributes, timestamp, station name, geo location of stations in a city of Turkey. You could also get more than one attributes by using this function.
With following command, you could get PM10 and CO attributes as time series for each stations at IZMIR.
getairq("IZMIR", '"PM10","CO"')Please feel free to write to us and contribute the package.
Let us know, if you have any questions, recommendation related to package
Kindly find contact information below,
Olgun AYDIN, olgunaydinn@gmail.com, info@olgunaydin.com