Difference between revisions of "IS428 AY2018-19T1 Zheng Bingbing"
Bbzheng.2015 (talk | contribs) |
Bbzheng.2015 (talk | contribs) |
||
Line 96: | Line 96: | ||
===Task 2: Spatio-temporal Analysis of Citizen Science Air Quality Measurements=== | ===Task 2: Spatio-temporal Analysis of Citizen Science Air Quality Measurements=== | ||
− | ===Task 3: === | + | ===Task 3: Analysis factors affecting the Sofia Air Quality=== |
==References== | ==References== |
Revision as of 01:54, 12 November 2018
Contents
Background & Motivation
Air pollution is an important risk factor for health in Europe and worldwide. A recent review of the global burden of disease showed that it is one of the top ten risk factors for health globally. Worldwide an estimated 7 million people died prematurely because of pollution; in the European Union (EU) 400,000 people suffer a premature death. The Organisation for Economic Cooperation and Development (OECD) predicts that in 2050 outdoor air pollution will be the top cause of environmentally related deaths worldwide. In addition, air pollution has also been classified as the leading environmental cause of cancer.
"In Sofia, air pollution norms were exceeded 70 times in the heating period from October 2017 to March 2018, citizens’ initiative AirBG.info says. The day with the worst air pollution in Sofia was January 27, when the norm was exceeded six times over. Things got so out of control that even the European Court of Justice ruled against Bulgaria in a case brought by the European Commission against the country over its failure to implement measures to reduce air pollution. The two main reasons for the air pollution are believed to be solid fuel heating and motor vehicle traffic." -- Datathon
This project aims to create an interactive dashboard to examine the air quality in Sofia from the year 2013 to 14 Sept 2018.
PM Rate Classifcation Table (Europe)
Dataset Analysis & Transformation
Official air quality measurements
Problem #1 | Data merging required for an easy process in the tableau. |
---|---|
Issue | Manual processing is not convenience to handle the larger number of records. An alternative method of merging data is required. |
Solution |
Tableau Prep is using on merging of the data, it allows dynamic views of the output data records. And detecting any unusual behavior before making the visualizations.
|
Problem #2 | Inconsistency of data record time |
---|---|
Issue | Year 2017 use data recording time as "2017-01-01 01:00:01", ending with ":01", which other records ended with ":00". |
Solution |
Since we will only be using the hours as the measure, the last second will not have an effort on the result. Furthermore, all the DatatimeEnd are records ended with ":00" second. There is no action required.
|
Problem #3 | Miss data points |
---|---|
Issue | The Year 2017 have a lot of months without datapoint, furthermore, the year 2018 only have the records till September 14. |
Solution |
In order to have an overview of the air pollution in Sofia City, the data points from year 2017 and 2018 will keep for the analysis.
|
Citizen science air quality measurements (Airtube
Problem #1 | Geohash required to be transferred into latlong |
---|---|
Issue | Tableau does not recognize Geohash code, a transformation of Geohash into latlong is required. |
Solution |
By using the R file provided by Dr.KAM to transfer the geohash into latlong.
|
Problem #2 | Records with sensor data outside of Sofia City |
---|---|
Issue | Points outside of the Sofia City region required to be removed. |
Solution |
Those points will be excluded during the processing.
|
Meteorological measurements
Topography data
Interactive Dashboard Design
Detail Analysis
Task 1: Spatio-temporal Analysis of Official Air Quality
Characterise the past and most recent situation with respect to air quality measures in Sofia City. |
---|
|
Task 2: Spatio-temporal Analysis of Citizen Science Air Quality Measurements
Task 3: Analysis factors affecting the Sofia Air Quality
References
[1] Datathon Air Sofia Case : https://www.datasciencesociety.net/the-telelink-case-one-step-closer-to-a-better-air-quality-and-city/
[2] Tableau Training Library : https://www.tableau.com/learn/training
[3] Air quality index : https://en.wikipedia.org/wiki/Air_quality_index