This answer sheet should be used for your VAST Challenge 2019 Mini-Challenge 3 submission. Please maintain the .htm format and make sure that all hyperlinks are relative to the answer form. 

Rename this form "index.htm" for your submission.  Remove these instructions and any other example text below that is highlighted in yellow. Please see the "Submission Instructions" at https://vast-challenge.github.io/2019/ for more detailed instructions.    

Entry Name:  "UWB-Smith-MC3"

VAST Challenge 2019
Mini-Challenge 3

 

 

Team Members:

Replace this list of team members with the names, affiliations, and email addresses of your own team. Indicate the primary point of contact.  Example:

Marion Smith, University of West Birmingham, smith@westbirmingham.ac.uk     PRIMARY
Paul White, University of Northeastern Washington,
white@unew.edu

Student Team:  Please enter YES or NO

 

Tools Used:

Provide a list of tools used.  Examples:

Tableau

Excel

Spinviz, developed by the University of West Birmingham CS 459 Information Visualization class, taught Spring 2011 by Dr. Smith, and adapted by the student team for the challenge.

 

Approximately how many hours were spent working on this submission in total?

Provide an estimate of the total number of hours worked on this submission by your entire team.

 

May we post your submission in the Visual Analytics Benchmark Repository after VAST Challenge 2019 is complete? Please enter a YES or NO

 

Video

Provide a link to your video.  Example:

http://www.westbirmingham.ac.uk/uwb-smith-mc3-video.wmv

 

 

 

Questions

The City has been using Y*INT to communicate with its citizens, even post-earthquake. However, City officials needs additional information to determine the best way to allocate emergency resources across all neighborhoods of St. Himark. Your task, using your visual analytics on the community Y*INT data, is to determine the types of problems that are occurring across the St. Himark. Then, advise the City on how to prioritize the distribution of resources.  Keep in mind that not all sources on Y*INT are reliable, and that priorities may change over time as the state of neighborhoods also changes.

1 – Using  visual analytics, characterize conditions across the city and recommend how resources should be allocated at 5 hours and 30 hours after the earthquake.  Include evidence from the data to support these recommendations.  Consider how to allocate resources such as road crews, sewer repair crews, power, and rescue teams. Limit your response to 1000 words and 12 images.

Provide your answer and corresponding images here.

2 – Identify at least 3 times when conditions change in a way that warrants a re-allocation of city resources.  What were the conditions before and after the inflection point?  What locations were affected?  Which resources are involved? Limit your response to 1000 words and 10 images.

Provide your answer and corresponding images here.

3 – Take the pulse of the community.  How has the earthquake affected life in St. Himark? What is the community experiencing outside the realm of the first two questions? Show decision makers summary information and relevant/characteristic examples. Limit your response to 800 words and 8 images.

Provide your answer and corresponding images here.

4 –– 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? Limit your response to 200 words and 3 images.

Provide your answer and corresponding images here.