ISSS608 2018-19 T1 Assign Qiao Xueyu Visualization

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AirPollution.jpg  Air Polution in Sofia, Bulgaria

Overview

Data Preparation

Visualization Design

Insights

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View the interactive dashboard here

Official Air Quality Measurements

EEA MAP.png
The Map shows the distribution of official stations.
  • Hover the mouse over each flag to get detailed information
  • Click the flag on the dashboard to highlight the Hourly Trend of this selected station
HourlyTrend.png
The Hourly Trend graph shows the average hourly PM10 concentration of each station.
  • Hover the mouse over each dot to see the average concentration during a certain time period
  • Slide the sidebar to select the year to view
  • Select the standard deviation from the drop-down list
  • Click the station names to highlight the station location on the Map

Parameter created:

  • Standard Deviation: to control the number of standard deviation

Calculation Fields created:

  • Upper Bound: to draw the upper bound
  • Lower Bound: to draW the lower bound
  • Outlier: to judge whether a value exceeds the bounds
EEA OverallTrend.png
The Overall Trend graph shows the trend of each station according to the date granularity selected.
  • Click the blue boxes to adjust the date granularity
  • The reference line shows the value of 50 which is the EU hourly standard PM10


Citizen Science Air Quality Measurements

Citizen co.png
The Coverage Map shows the citizen sensors' coverage.
  • The color of circles shows the a percentage of anomalies with red indicating high percentage of anomalies
  • The size of circles shows the number of measure records
  • Click from the Anomalies list to select the well-operated or badly-operated sensors
  • Click the play button to view the animation of sensors' operation over the months
  • Click the red circles to view the anomalies details on the Anomalies graph and the location on the Concentration Map
  • Hover the mouse over each circle to view the average hourly PM10 and PM2.5 concent
-anomalies.png
The Anomalies graph shows the number of anomalies and the percentage of anomalies over the time period.
  • Hover the mouse over each dot to view the detail of anomaly
  • Click a certain dot to view the coverage of that particular day
  • Click a certain dot and select True from the Anomalies list, and hover the mouse over the circles on the Coverage Map to view the anomaly details
Heatmap.png
The PM10 & PM2.5 Heatmap shows the concentration change over the time period.
  • Click the play button to play the animation

Air Quality & Other Factors

Factor1.png
The graph on the left helps us to explore the relationship between PM10 concentration and attributes of them like distance to curb, distance to building and altitude.
  • Click the name of each station to highlight the other graph
  • Slide the slider to view the values of different years
Fact2.png
The line charts of meteorological variables help us explore the relationship between meteorological factors and pollutant concentration.