Difference between revisions of "IS428 AY2019-20T1 Assign Wong Kuan Wai Gordon"

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=Overview=
 
=Overview=
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One of St. Himark’s largest employers is the Always Safe nuclear power plant. The pride of the city, it produces power for St. Himark’s needs and exports the excess to the mainland providing a steady revenue stream. However, the plant was not compliant with international standards when it was constructed and is now aging. As part of its outreach to the broader community, Always Safe agreed to provide funding for a set of carefully calibrated professional radiation monitors at fixed locations throughout the city. Additionally, a group of citizen scientists led by the members of the Himark Science Society started an education initiative to build and deploy lower cost homemade sensors, which people can attach to their cars. The sensors upload data to the web by connecting through the user’s cell phone. The goal of the project was to engage the community and demonstrate that the nuclear plant’s operations were not significantly changing the region’s natural background levels of radiation.
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St. Himark has been hit by an earthquake, leaving officials scrambling to determine the extent of the damage and dispatch limited resources to the areas in most need. They quickly receive seismic readings and use those for an initial deployment but realize they need more information to make sure they have a realistic understanding of the true conditions throughout the city.
  
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When an earthquake strikes St. Himark, the nuclear power plant suffers damage resulting in a leak of radioactive contamination. Further, a coolant leak sprayed employees’ cars and contaminated them at varying levels. Now, the city’s government and emergency management officials are trying to understand if there is a risk to the public while also responding to other emerging crises related to the earthquake as well as satisfying the public’s concern over radiation.
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In a prescient move of community engagement, the city had released a new damage reporting mobile application shortly before the earthquake. This app allows citizens to provide more timely information to the city to help them understand damage and prioritize their response. In this mini-challenge, use app responses in conjunction with shake maps of the earthquake strength to identify areas of concern and advise emergency planners. Note: the shake maps are from April 6 and April 8 respectively.
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With emergency services stretched thin, officials are relying on citizens to provide them with much needed information about the effects of the quake to help focus recovery efforts.
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By combining seismic readings of the quake, responses from the app, and background knowledge of the city, help the city triage their efforts for rescue and recovery.
  
 
==Objective==
 
==Objective==
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Your task, as supported by visual analytics that you apply, is to help St. Himark’s emergency management team combine data from the government-operated stationary monitors with data from citizen-operated mobile sensors to help them better understand conditions in the city and identify likely locations that will require further monitoring, cleanup, or even evacuation. Will data from citizen scientists clarify the situation or make it more uncertain? Use visual analytics to develop responses to the questions below. Novel visualizations of uncertainty are especially interesting for this mini-challenge.
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My task as a visual analytics expert is to analyze and provide interactive visualizations through seismic readings of the earthquake, damage reports from the mobile application and background knowledge of the city. These visualizations will enable citizens and emergency planners with situational awareness of the disaster. Ultimately, this will further optimize the response of emergency services by enabling them to dispatch their limited resources to the right place at the right time with the right emergency tools, prioritizing their efforts for rescue and recovery. Therefore, my task as a visual analytics expert will explore the following:
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1) Geometric damage patterns of St. Himark and its neighborhood
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2) Earthquake scale and classes based on seismic readings
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3) Sending the correct emergency response based on infrastructure damages
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4) Damage inflicted to St. Himark infrastructures in each neighborhood
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5) Uncertainty of damage reports
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Additionally, I will also analyze and provide answers to the following tasks:
  
 
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Revision as of 22:15, 11 October 2019

Visual Detective - Optimizing Emergency Response Through Crowdsourcing & Community Engagement


Overview

St. Himark has been hit by an earthquake, leaving officials scrambling to determine the extent of the damage and dispatch limited resources to the areas in most need. They quickly receive seismic readings and use those for an initial deployment but realize they need more information to make sure they have a realistic understanding of the true conditions throughout the city.

In a prescient move of community engagement, the city had released a new damage reporting mobile application shortly before the earthquake. This app allows citizens to provide more timely information to the city to help them understand damage and prioritize their response. In this mini-challenge, use app responses in conjunction with shake maps of the earthquake strength to identify areas of concern and advise emergency planners. Note: the shake maps are from April 6 and April 8 respectively.

With emergency services stretched thin, officials are relying on citizens to provide them with much needed information about the effects of the quake to help focus recovery efforts.

By combining seismic readings of the quake, responses from the app, and background knowledge of the city, help the city triage their efforts for rescue and recovery.

Objective

My task as a visual analytics expert is to analyze and provide interactive visualizations through seismic readings of the earthquake, damage reports from the mobile application and background knowledge of the city. These visualizations will enable citizens and emergency planners with situational awareness of the disaster. Ultimately, this will further optimize the response of emergency services by enabling them to dispatch their limited resources to the right place at the right time with the right emergency tools, prioritizing their efforts for rescue and recovery. Therefore, my task as a visual analytics expert will explore the following:

1) Geometric damage patterns of St. Himark and its neighborhood 2) Earthquake scale and classes based on seismic readings 3) Sending the correct emergency response based on infrastructure damages 4) Damage inflicted to St. Himark infrastructures in each neighborhood 5) Uncertainty of damage reports

Additionally, I will also analyze and provide answers to the following tasks:


Task #1

Emergency responders will base their initial response on the earthquake shake map. Use visual analytics to determine how their response should change based on damage reports from citizens on the ground. How would you prioritize neighborhoods for response? Which parts of the city are hardest hit?


Task #2

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.


Task #3

How do conditions change over time? How does uncertainty in change over time? Describe the key changes you see. Limit your response to 500 words and 8 images.


About the Data

Testing

Data Preparation

Testing

The Visualization

Testing

Tasks

Testing

References

Testing

Comments

Feel free to provide feedback!

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