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| − | <div style=background:#c62828 border:#f44336>
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| − | [[Image:MC1-2019.jpg|200px|Logo]]
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| − | <font size = 5; color="#FAFAFA"><b>VAST Challenge 2019: Mini-Challenge 1</b></font>
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| − | </div>
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| − | {|style="background-color:#d32f2f; color:#7fc6cb; padding: 10 0 10 0;" width="100%" cellspacing="0" cellpadding="0" valign="top" border="0" |
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| − | | style="padding:0.3em; font-size:100%; background-color:#d32f2f; text-align:center; color:#7fc6cb" width="25%" |
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| − | [[Temp_file_RLzx |
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| − | <font color="#FAFAFA" size=2><b>Problem & Tasks</b></font>]]
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| − | | style="padding:0.3em; font-size:100%; background-color:#d32f2f; text-align:center; color:#7fc6cb" width="25%" |
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| − | [[Temp file RLzx_DataAnalysisTransformation |
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| − | <font color="#FAFAFA" size=2><b>Data Analysis & Transformation</b></font>]]
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| − | [[Temp_file_RLzx_Interaction_Visualization |
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| − | <font color="#FAFAFA" size=2><b>Interactive Visualization</b></font>]]
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| − | [[Temp_file_RLzx_Answers |
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| − | <font color="#FAFAFA" size=2><b>Answers</b></font>]]
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| − | |}
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| − | === Q1: 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? ===
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| − | === Q2: 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. ===
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| − | <center><strong>Measure reliability among neighbourhoods</strong></center></br>
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| − | <div><center><ul>
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| − | <li style="display: inline-block;" id="F1.1"> [[File:Ronald.Lay.2017_Reliability_Among_Neighbourhoods.PNG|thumb|none|500px|''Figure 2.1 - Overall intensity readings over time period'']] </li>
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| − | </ul></center></div>
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| − | Based on Figure 2.1, there are 3 key analysis:
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| − | * <b>Downtown, Northwest and Weston </b> provide the most reliable reports among all the neighborhoods
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| − | * <b>Wilson Forest</b> provides the least reliable reports
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| − | * As highlighted in oval red, there are occasional periods where there are simply no reports. The possible cause may point to power/server outages
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| − | <p>Need to add more here</p>
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| − | <center><strong>Delayed reports</strong></center></br>
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| − | <div><center><ul>
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| − | <li style="display: inline-block;" id="F21"> [[File:Ronald.Lay.2017_Delayed_Report.PNG|thumb|none|500px|''Figure 2.1 - Delayed reporting'']] </li>
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| − | </ul></center></div>
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| − | Power outages and other infrastructural problem result in delayed reports (Indicated by red ovals) and the server does not process the information until the power is restored. The explanation of number annotation is as followed: <br/>
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| − | *<p><b>1</b>: There are very few amount of reported damage reports due to occasional power outages occurring in many of the neighborhoods. </p>
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| − | *<p><b>2</b>:The timestamp is only recorded when the power is restored as indicated in number 2, resulting in sudden increase in the amount of damage reports on Thursday 3 to 5 PM due to accumulation of reports over the period of power outages. </p>
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| − | *<p><b>3</b>: There is also occasional power outage which also results in many reported damage reports</p>
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| − | <center><strong>Delayed reports per neighbour</strong></center></br>
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| − | <div><center><ul>
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| − | <li style="display: inline-block;" id="F22"> [[File:Ronald.Lay.2017_Delayed_Report_Per_Neighbour.PNG|thumb|none|500px|''Figure 2.2 - Delayed reporting per neighbour'']] </li>
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| − | </ul></center></div>
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| − | Break down by each neighbor, the highlighted red box shows there is indeed
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| − | === Q3: How do conditions change over time? How does uncertainty in data change over time? Describe the key changes you see. ===
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