ISSS608 2018-19 T1 Assign HyderAli Task 2 Insights
Air Pollution in Sofia City
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To investigate the citizen air quality data, we consolidate the Citizen Science Air Quality data for both years 2017 and 2018. Next, we proceed to decode the geohashes into latitude/longitude pairs with the consolidated data consisting of 3,610,146 measurements. Next, we proceed to decode the geohashes into latitude/longitude pairs with the consolidated data consisting of 3,610,146 measurements.
Characterize the sensors' coverage, performance and operation. Are they well distributed over the entire city? Are they all working properly all the times? Can you detect any unexpected behaviours of the sensors through analyzing the readings they capture? Limit your response to no more than 4 images and 600 words.
Are the Air Quality sensors well-distributed?
In the recent years, emergence of small-scale air quality sensors had led to a significant shift in the approach to measuring air quality beyond those afforded by traditional methods that use large, stationary and expensive analyzers. These sensors are usually small and portable, providing data in near real-time at relatively low costs and thus allowing air quality to be measured with unprecedented temporal and spatial resolution.
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As these measurements were most likely recorded by local citizens with their own testing kits, there are high possibilities that the measurements may not uncover an accurate picture of pollution. As such
Part Two
Now turn your attention to the air pollution measurements themselves. Which part of the city shows relatively higher readings than others? Are these differences dependent? Limit your response to no more than 6 images and 800 words.
