Difference between revisions of "IS428 AY2018-19T1 Ye Min Oo"
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<font size="5">'''To be a Visual Detective'''</font> | <font size="5">'''To be a Visual Detective'''</font> | ||
| − | The assignments require you to put the concepts, methods, and techniques you had learned in class to solve real-world problem using visual analytics techniques. Students should also use the assignments to gain hands-on experience in using the data visualization toolkits I had shared with you to complete the assignment. | + | The assignments require you to put the concepts, methods, and techniques you had learned in class to solve a real-world problem using visual analytics techniques. Students should also use the assignments to gain hands-on experience in using the data visualization toolkits I had shared with you to complete the assignment. |
=Overview= | =Overview= | ||
| − | 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 | + | 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 a 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. | 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. | ||
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=The Task= | =The Task= | ||
| − | In this assignment, you are required to use visual analytics approach to reveal | + | In this assignment, you are required to use visual analytics approach to reveal spatiotemporal patterns of air quality in Sofia City and to identify issues of concern. |
==Task 1: Spatio-temporal Analysis of Official Air Quality== | ==Task 1: Spatio-temporal Analysis of Official Air Quality== | ||
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==Task 2: Spatio-temporal Analysis of Citizen Science Air Quality Measurements == | ==Task 2: Spatio-temporal Analysis of Citizen Science Air Quality Measurements == | ||
| − | Using appropriate data | + | Using appropriate data visualization, you are required will be asked to answer the following types of questions: |
| − | * Characterize the sensors’ coverage, performance and operation. Are they well distributed over the entire city? Are they all working properly at all times? Can you detect any unexpected behaviors of the sensors | + | * Characterize the sensors’ coverage, performance, and operation. Are they well distributed over the entire city? Are they all working properly at all times? Can you detect any unexpected behaviors of the sensors by analyzing the readings they capture? Limit your response to no more than 4 images and 600 words. |
| − | * Now turn your attention to the air pollution measurements themselves. Which part of the city shows relatively higher readings than others? Are these differences time dependent? Limit your response to no more than 6 images and 800 words. | + | * Now turn your attention to the air pollution measurements themselves. Which part of the city shows relatively higher readings than others? Are these differences time-dependent? Limit your response to no more than 6 images and 800 words. |
==Task 3== | ==Task 3== | ||
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* Local topography | * Local topography | ||
* Complex interactions between local topography and meteorological characteristics. | * Complex interactions between local topography and meteorological characteristics. | ||
| − | * Transboundary pollution for example the haze that intruded into Singapore from our | + | * Transboundary pollution, for example, the haze that intruded into Singapore from our neighbors. |
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. | 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. | ||
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* Official air quality measurements (5 stations in the city)(EEA Data.zip) – as per EU guidelines on air quality monitoring see the data description [https://drive.google.com/file/d/1v5yCL-LdriDwa65qXPbFL7b0tydylDlb/view HERE…] | * Official air quality measurements (5 stations in the city)(EEA Data.zip) – as per EU guidelines on air quality monitoring see the data description [https://drive.google.com/file/d/1v5yCL-LdriDwa65qXPbFL7b0tydylDlb/view HERE…] | ||
| − | * Citizen science air quality measurements (Air Tube.zip) , incl. temperature, humidity and pressure (many stations) and topography (gridded data). | + | * Citizen science air quality measurements (Air Tube.zip), incl. temperature, humidity, and pressure (many stations) and topography (gridded data). |
* Meteorological measurements (1 station)(METEO-data.zip): Temperature; Humidity; Wind speed; Pressure; Rainfall; Visibility | * Meteorological measurements (1 station)(METEO-data.zip): Temperature; Humidity; Wind speed; Pressure; Rainfall; Visibility | ||
* Topography data (TOPO-DATA) | * Topography data (TOPO-DATA) | ||
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| − | =Visualisation Software= | + | =Visualisation Software Used= |
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*Tableau | *Tableau | ||
*JMP Pro | *JMP Pro | ||
*Qlik Sense | *Qlik Sense | ||
*Microsoft Power BI | *Microsoft Power BI | ||
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=Reference= | =Reference= | ||
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=Assignment Q&A= | =Assignment Q&A= | ||
| − | + | Kindly help comment below for further improvements. | |
Revision as of 17:29, 11 November 2018
To be a Visual Detective
The assignments require you to put the concepts, methods, and techniques you had learned in class to solve a real-world problem using visual analytics techniques. Students should also use the assignments to gain hands-on experience in using the data visualization toolkits I had shared with you to complete the assignment.
Contents
Overview
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 a 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).
The Task
In this assignment, you are required to use visual analytics approach to reveal spatiotemporal patterns of air quality in Sofia City and to identify issues of concern.
Task 1: Spatio-temporal Analysis of Official Air Quality
Characterize the past and most recent situation with respect to air quality measures in Sofia City. What does a typical day look like for Sofia city? Do you see any trends of possible interest in this investigation? What anomalies do you find in the official air quality dataset? How do these affect your analysis of potential problems to the environment?
Your submission for this questions should contain no more than 10 images and 1000 words.
Task 2: Spatio-temporal Analysis of Citizen Science Air Quality Measurements
Using appropriate data visualization, you are required will be asked to answer the following types of questions:
- Characterize the sensors’ coverage, performance, and operation. Are they well distributed over the entire city? Are they all working properly at all times? Can you detect any unexpected behaviors of the sensors by analyzing the readings they capture? Limit your response to no more than 4 images and 600 words.
- Now turn your attention to the air pollution measurements themselves. Which part of the city shows relatively higher readings than others? Are these differences time-dependent? Limit your response to no more than 6 images and 800 words.
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 neighbors.
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.
The Data Sets
Four major data sets in zipped file format are provided for this assignment, they are:
- Official air quality measurements (5 stations in the city)(EEA Data.zip) – as per EU guidelines on air quality monitoring see the data description HERE…
- Citizen science air quality measurements (Air Tube.zip), incl. temperature, humidity, and pressure (many stations) and topography (gridded data).
- Meteorological measurements (1 station)(METEO-data.zip): Temperature; Humidity; Wind speed; Pressure; Rainfall; Visibility
- Topography data (TOPO-DATA)
They can be download by click on this link.
Visualisation Software Used
- Tableau
- JMP Pro
- Qlik Sense
- Microsoft Power BI
Reference
Assignment Q&A
Kindly help comment below for further improvements.
