Difference between revisions of "ISSS608 2018-19 T1 Assign Hou Xuelin"

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== Task1 Exploration of Official Data ==
  
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=== situation of air quality ===
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Characterize the past and most recent situation with respect to air quality measures in Sofia City.
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What does a typical day look like for Sofia city? Do you see any trends of possible interest in this investigation?
  
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=== anomalies of official data ===
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What anomalies do you find in the official air quality dataset? How do these affect your analysis of potential problems to the environment?
  
== Task1 ==
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== Task2 Exploration of Sensor Data ==
==== Exploratory Analysis ====
 
  
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=== exploratory of sensor data ===
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Characterize the sensors’ coverage, performance and operation. Are they well distributed over the entire city? Are they all working properly at all times?
  
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=== anomalies of sensor data ===
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Can you detect any unexpected behaviors of the sensors through analyzing the readings they capture? Limit your response to no more than 4 images and 600 words.
  
== Task2 ==
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=== air pollution correlation ===
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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.
  
  
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== Task3 Factors Affect Sofia Air Pollution ==
  
== Task3 ==
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Urban air pollution is a complex issue. There are many factors affecting the air quality of a city. Some of the possible causes are:
 
 
  
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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.
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Local meteorology such as temperature, pressure, rainfall, humidity, wind etc
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Local topography
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Complex interactions between local topography and meteorological characteristics.
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Transboundary pollution for example the haze that intruded into Singapore from our neighbours.
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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.
  
 
== Data Source ==
 
== Data Source ==

Revision as of 10:42, 11 November 2018


Xuelin banner.jpg

Task1 Exploration of Official Data

situation of 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?

anomalies of official data

What anomalies do you find in the official air quality dataset? How do these affect your analysis of potential problems to the environment?

Task2 Exploration of Sensor Data

exploratory of sensor data

Characterize the sensors’ coverage, performance and operation. Are they well distributed over the entire city? Are they all working properly at all times?

anomalies of sensor data

Can you detect any unexpected behaviors of the sensors through analyzing the readings they capture? Limit your response to no more than 4 images and 600 words.

air pollution correlation

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.


Task3 Factors Affect Sofia Air Pollution

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.

Data Source

Methodology

Application Libraries & Packages

Package Name Descriptions
xlsx R package for Excel file manipulation.

References