Difference between revisions of "IS428 AY2018-19T1 Zhuo Yunying"
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Revision as of 22:02, 11 November 2018
Contents
Problem & 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. Air quality in Bulgaria is a big concern: measurements show that citizens all over the country breathe in air that is considered harmful to health. For example, concentrations of PM2.5 and PM10 are much higher than what the EU and the World Health Organization (WHO) have set to protect health. Bulgaria had the highest PM2.5 concentrations of all EU-28 member states in urban areas over a three-year average. For PM10, Bulgaria is also leading on the top polluted countries with 77 μg/m3on the daily mean concentration (EU limit value is 50 μg/m3).According to the WHO, 60 percent of the urban population in Bulgaria is exposed to dangerous (unhealthy) levels of particulate matter (PM10).
This assignment aims to study the following:
- Task 1: Spatio-temporal Analysis of Official Air Quality
- Task 2: Spatio-temporal Analysis of Citizen Science Air Quality Measurements
- Task 3: Find out the relationship of the above analysis with other factors (Local energy sources, Local meteorology, Local topography, Complex interactions between local topography and meteorological characteristics and Transboundary pollution)
Dataset Analysis & Transformation Process
Task 1: Spatio-temporal Analysis of Official Air Quality
Task 2: Spatio-temporal Analysis of Citizen Science Air Quality Measurements
- Characterize the sensors’ coverage, performance and operation. Are they well distributed over the entire city?
- Drag the date/time field into the “Pages” shelf
- Change the field to “Hour” to enable the animation on an hourly basis
The following shows a screenshot of the configuration:
- Add a checkbox filter into the dashboard
- Add the shape legends for each department
- Select the new object and check “Highlight selected items”.
Q3: Notable Anomalies/Unusual Events In Data
Q4: Observed Relationships Between Proximity Card Data & Building Data Elements
References
In the completion of the analysis, the following references have been extremely useful:
- Tableau Training Video - Polygon Maps (http://www.tableau.com/learn/tutorials/on-demand/polygon-maps-8.2)
- Tableau Training Video - Background Images (http://www.tableau.com/learn/tutorials/on-demand/background-images-8)
- Creating Custom Polygons On A Background Image (https://tableauandbehold.com/2015/04/13/creating-custom-polygons-on-a-background-image/)
- Dynamically Switch Images Using Filters (https://community.tableau.com/message/182926#182926)
- Tableau Tip Week - Dashboard Navigation Buttons (http://www.thedataschool.co.uk/niccolo-cirone/tableau-tip-week-wednesday-creating-dashboard-navigator-buttons/)