Working with air quality and meteorological data Exercises (Part-1)

August 15, 2017

(This article was first published on R-exercises, and kindly contributed to R-bloggers)

Atmospheric air pollution is one of the most important environmental concerns in many countries around the world, and it is strongly affected by meteorological conditions. Accordingly, in this set of exercises we use openair package to work and analyze air quality and meteorological data. This packages provides tools to directly import data from air quality measurement network across UK, as well as tools to analyse and producing reports. In this exercise set we will import and analyze data from MY1 station which is located in Marylebone Road in London, UK.

Answers to the exercises are available here.

Please install and load the package openair before starting the exercises.

Exercise 1
Import the MY1 data for the year 2016 and save it into a dataframe called my1data.

Exercise 2
Get basic statistical summaries of myd1 dataframe.

Exercise 3
Calculate monthly means of:
a. pm10
b. pm2.5
b. nox
c. no
d. o3

You can use Air Quality Data and weather patterns in combination with spatial data visualization, Learn more about spatial data in the online course
[Intermediate] Spatial Data Analysis with R, QGIS & More
. this course you will learn how to:

  • Work with Spatial data and maps
  • Learn about different tools to develop spatial data next to R
  • And much more

Exercise 4
Calculate daily means of:
a. pm10
b. pm2.5
b. nox
c. no
d. o3

Exercise 5
calculate daily maximum of:
b. nox
c. no

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