Difference between revisions of "IS428 AY2019-20T1 Assign Nurul Khairina Binte Abdul Kadir TaskFindings Q2"
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We will analyze the data for the Pre-Earthquake Period (before 8 April). | We will analyze the data for the Pre-Earthquake Period (before 8 April). | ||
− | There is a spike in the number of reports on 6 April, 4 PM. | + | There is a spike in the number of reports on 6 April, 4 PM. A possible reason would be the citizens were testing the app since it was released before the earthquake. However Old Town, Scenic Vista and Broadview made a high number of reports at this timing across all damage types. |
There is maintenance work going on at Old Town and Southwest which will cause intermittent power outages. Therefore, the reports could have been made regarding the maintenance work and not the earthquake. This is supported by the mode chart which revealed that the mode for Old Town is Weak at 4 PM. The mode for the other damage types and neighbourhoods are either Weak or Not Felt. Therefore, this is not a cause for concern. | There is maintenance work going on at Old Town and Southwest which will cause intermittent power outages. Therefore, the reports could have been made regarding the maintenance work and not the earthquake. This is supported by the mode chart which revealed that the mode for Old Town is Weak at 4 PM. The mode for the other damage types and neighbourhoods are either Weak or Not Felt. Therefore, this is not a cause for concern. |
Revision as of 07:36, 12 October 2019
VAST 2019 MC1: Crowdsourcing for Situational Awareness
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Question: Use visual analytics to show uncertainty in the data. Compare the reliability of neighborhood reports. Which neighborhoods are providing reliable reports? Provide a rationale for your response. Limit your response to 1000 words and 10 images.
Contents
Insights
In order to assess the reliability of the reports, we will consider the following factors:
• Reports made before the earthquake due to maintenance work
• Reports made after the earthquake and delay in reports due to power outage
• Comparison of maximum impact scores over time (Pre, Major and Post earthquake)
• Variation in reported impact levels by neighbourhoods in the same region. The region is based on the estimated distance to the epicentre of the earthquake (Close, Moderate, Far and Very Far). The variation within the neighbourhood can also be observed.
• Relationship between shake intensity and other damage types to analyze damage uncertainty
This is the timeframe that we will be using for this analysis.
A. Pre-Earthquake – 6 April to 8 April
B. Major Earthquake – 8 April. Note this refers to the day of the earthquake
C. Post-Earthquake – 9 April to 11 April
Summary | Detailed Description | ||||||||||||||||||
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We will analyze the data for the Pre-Earthquake Period (before 8 April). There is a spike in the number of reports on 6 April, 4 PM. A possible reason would be the citizens were testing the app since it was released before the earthquake. However Old Town, Scenic Vista and Broadview made a high number of reports at this timing across all damage types. There is maintenance work going on at Old Town and Southwest which will cause intermittent power outages. Therefore, the reports could have been made regarding the maintenance work and not the earthquake. This is supported by the mode chart which revealed that the mode for Old Town is Weak at 4 PM. The mode for the other damage types and neighbourhoods are either Weak or Not Felt. Therefore, this is not a cause for concern. | |||||||||||||||||||
Refer to the numbers in the chart to follow along: The damage type filter is set to Shake Intensity for this analysis.
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Refer to the numbers in the chart to follow along:
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From the shake intensity charts, we can deduce that the following cities need more help from 8 April, 8 AM to 11 AM: Old Town, Safe Town, Pepper Mill, and Wilson Forest as identified above. The team should respond to these cities. The number of reports made by neighborhood chart also shows that areas that are hardest hit may not always have a high number of reports and vice-versa. Therefore, using the mode of the impact score seems to be a better option in assessing the extent of the damage instead of solely using the number of reports in our analysis. | |||||||||||||||||||
The time frame for this analysis will be 8 April 8 AM to 11 AM. The hardest-hit areas identified in the previous dashboards are Old Town, Safe Town, Pepper Mill, and Wilson Forest. Taking this into consideration, we can further analyze the intensity of each damage type across the city in this dashboard. Do note that Wilson Forest is considered a high priority area despite the lack of reports. An assumption made is that the emergency response team comprise of different divisions and responders are specialized or trained to deal with a specific damage type. The following cities should receive a higher priority:
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