Difference between revisions of "IS428 AY2018-19T1 Gokarn Malika Nitin"

From Visual Analytics for Business Intelligence
Jump to navigation Jump to search
Line 79: Line 79:
 
<br/>
 
<br/>
 
Upon importing the decoded dataset into Tableau, I found 4 points that have latitude and longitude values of 0.000000, as well as 1 point that has a latitude value of -4.025953, and a longitude value of 78.751781. As neither of these 5 points is anywhere near Bulgaria or Sofia City I have excluded them from the dataset as a whole.
 
Upon importing the decoded dataset into Tableau, I found 4 points that have latitude and longitude values of 0.000000, as well as 1 point that has a latitude value of -4.025953, and a longitude value of 78.751781. As neither of these 5 points is anywhere near Bulgaria or Sofia City I have excluded them from the dataset as a whole.
<br/>
+
<br/><b>Tackling geocode issues</b><br/>
Additionally, there are sensors plotted to be way outside the boundaries of Sofia city, using the
+
There are sensors plotted to be outside the boundaries of Sofia city. Most of the citizen science sensors as well as the stations from EEA data both appear to be in the central area of Sofia city. Therefore I choose to exclude the sensor locations outside Sofia City boundaries, using Tableau's lasso selection.
 
|}
 
|}
  

Revision as of 15:59, 11 November 2018

Problem and Motivation

Dataset Analysis and Transformation Process

Task 1: Spatio-temporal Analysis of Official Air Quality

Task 2: Spatio-temporal Analysis of Citizen Science Air Quality Measurements

Task 3

Urban air pollution is a complex issue. There are many factors affecting the air quality of a city. Some of the possible causes are:

  • Local energy sources. For example, according to Unmask My City, a global initiative by doctors, nurses, public health practitioners, and allied health professionals dedicated to improving air quality and reducing emissions in our cities, Bulgaria’s main sources of PM10, and fine particle pollution PM2.5 (particles 2.5 microns or smaller) are household burning of fossil fuels or biomass, and transport.
  • Local meteorology such as temperature, pressure, rainfall, humidity, wind etc
  • Local topography
  • Complex interactions between local topography and meteorological characteristics.
  • Transboundary pollution, for example, the haze that intruded into Singapore from our neighbours.

In this third task, you are required to reveal the relationships between the factors mentioned above and the air quality measure detected in Task 1 and Task 2. Limit your response to no more than 5 images and 600 words.

Software

  • Tableau - for visualization of the various tasks
  • Python - for geocoding

References