Difference between revisions of "IS428 AY2019-20T1 Assign Lee Cheng Leng Task 5"

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! S/N !! Findings !! Visual Proof
 
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| 1|| '''Static Collection''' <br> Analysing the uncertainty of the sensors based on past results over the simulation period. The uncertainty of sensors would only be able to be shown in comparison against other sensors, across the same timeframe. This means that we would only be able to tell if a sensor exhibits more uncertainty if over the same period, it recorded fewer radiation readings, or the variance in the readings recorded are much higher than that of other sensors.
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| 2 || '''Dynamic Stream''' <br> Visualise the changes in radiation levels and possible contamination in St. Himark. It would be most befitting for such time-sensitive scenarios, where the radiation levels and spread of radiation has to be visualised in the time period it is happening. This allows us to detect areas of contamination and take reactive measures in order to contain the contamination. In such situations, it would not be suitable to analyse it as a static dataset as the spread of radiation would differ based on the movement of the mobile sensors and would not be similar to any previous simulation.
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Latest revision as of 20:31, 12 October 2019

Frederic-paulussen-LWnD8U2OReU-unsplash.jpg VAST 2019 MC2: Citizen Science to the Rescue

Overview

Data Exploration and Transformation

Interactive Visualisation

Task Findings

References


Task 1

Task 2

Task 3

Task 4

Task 5

The data for this challenge can be analyzed either as a static collection or as a dynamic stream of data, as it would occur in a real emergency. Describe how you analyzed the data - as a static collection or a stream. How do you think this choice affected your analysis?

S/N Findings Visual Proof
1 Static Collection
Analysing the uncertainty of the sensors based on past results over the simulation period. The uncertainty of sensors would only be able to be shown in comparison against other sensors, across the same timeframe. This means that we would only be able to tell if a sensor exhibits more uncertainty if over the same period, it recorded fewer radiation readings, or the variance in the readings recorded are much higher than that of other sensors.

Task5-1.png

2 Dynamic Stream
Visualise the changes in radiation levels and possible contamination in St. Himark. It would be most befitting for such time-sensitive scenarios, where the radiation levels and spread of radiation has to be visualised in the time period it is happening. This allows us to detect areas of contamination and take reactive measures in order to contain the contamination. In such situations, it would not be suitable to analyse it as a static dataset as the spread of radiation would differ based on the movement of the mobile sensors and would not be similar to any previous simulation.
Task5-2.png