Difference between revisions of "IS428 AY2019-20T1 Assign He Yicheng: Observations"
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<div style="font-weight:300;margin-bottom: 60px;margin-top:15px;max-width:700px;margin-left:15px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:17px;> | <div style="font-weight:300;margin-bottom: 60px;margin-top:15px;max-width:700px;margin-left:15px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:17px;> | ||
| + | == <div style="font-weight:300;padding: 10px 13px 20px 13px; line-height:30px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:25px">1. Visualize radiation measurements over time from both static and mobile sensors to identify areas where radiation over background is detected. Characterize changes over time.</font></div>== | ||
| + | <div style="font-weight:300;margin-bottom: 60px;margin-top:15px;max-width:700px;margin-left:15px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:17px;> | ||
| + | |||
| + | a. Drag <I>Long</i> and <i> Lat</I> into Columns and Rows respectively. | ||
| + | |||
| + | [[File:yc long lat drag.png|300px]]<br> | ||
| + | |||
| + | </div> | ||
| + | |||
| + | == <div style="font-weight:300;padding: 10px 13px 20px 13px; line-height:30px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:25px">2. Use visual analytics to represent and analyze uncertainty in the measurement of radiation across the city.</font></div>== | ||
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| + | <div style="font-weight:300;margin-bottom: 60px;margin-top:15px;max-width:700px;margin-left:15px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:17px;> | ||
| + | |||
| + | a. Drag <I>Long</i> and <i> Lat</I> into Columns and Rows respectively. | ||
| + | |||
| + | [[File:yc long lat drag.png|300px]]<br> | ||
| + | |||
| + | </div> | ||
| + | |||
| + | |||
| + | == <div style="font-weight:300;padding: 10px 13px 20px 13px; line-height:30px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:25px">3. Given the uncertainty you observed in question 2, are the radiation measurements reliable enough to locate areas of concern?</font></div>== | ||
| + | |||
| + | <div style="font-weight:300;margin-bottom: 60px;margin-top:15px;max-width:700px;margin-left:15px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:17px;> | ||
| + | |||
| + | a. Drag <I>Long</i> and <i> Lat</I> into Columns and Rows respectively. | ||
| + | |||
| + | [[File:yc long lat drag.png|300px]]<br> | ||
| + | |||
| + | </div> | ||
| + | |||
| + | == <div style="font-weight:300;padding: 10px 13px 20px 13px; line-height:30px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:25px">4. Summarize the state of radiation measurements at the end of the available period. Use your novel visualizations and analysis approaches to suggest a course of action for the city. Use visual analytics to compare the static sensor network to the mobile sensor network. What are the strengths and weaknesses of each approach? How do they support each other?</font></div>== | ||
| + | |||
| + | <div style="font-weight:300;margin-bottom: 60px;margin-top:15px;max-width:700px;margin-left:15px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:17px;> | ||
| + | |||
| + | a. Drag <I>Long</i> and <i> Lat</I> into Columns and Rows respectively. | ||
| + | |||
| + | [[File:yc long lat drag.png|300px]]<br> | ||
| + | |||
| + | </div> | ||
| + | |||
| + | |||
| + | == <div style="font-weight:300;padding: 10px 13px 20px 13px; line-height:30px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:25px">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? Limit your response to 200 words and 3 images.</font></div>== | ||
| + | |||
| + | <div style="font-weight:300;margin-bottom: 60px;margin-top:15px;max-width:700px;margin-left:15px;font-family:HelveticaNeue-Light, Helvetica Neue Light, Helvetica Neue, Helvetica, Arial, Lucida Grande, sans-serif;font-size:17px;> | ||
| + | |||
| + | a. Drag <I>Long</i> and <i> Lat</I> into Columns and Rows respectively. | ||
| + | |||
| + | [[File:yc long lat drag.png|300px]]<br> | ||
| + | |||
| + | </div> | ||
</div> | </div> | ||
Revision as of 22:28, 12 October 2019
Observations
Contents
- 1 1. Visualize radiation measurements over time from both static and mobile sensors to identify areas where radiation over background is detected. Characterize changes over time.
- 2 2. Use visual analytics to represent and analyze uncertainty in the measurement of radiation across the city.
- 3 3. Given the uncertainty you observed in question 2, are the radiation measurements reliable enough to locate areas of concern?
- 4 4. Summarize the state of radiation measurements at the end of the available period. Use your novel visualizations and analysis approaches to suggest a course of action for the city. Use visual analytics to compare the static sensor network to the mobile sensor network. What are the strengths and weaknesses of each approach? How do they support each other?
- 5 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? Limit your response to 200 words and 3 images.
1. Visualize radiation measurements over time from both static and mobile sensors to identify areas where radiation over background is detected. Characterize changes over time.
a. Drag Long and Lat into Columns and Rows respectively.
2. Use visual analytics to represent and analyze uncertainty in the measurement of radiation across the city.
a. Drag Long and Lat into Columns and Rows respectively.
3. Given the uncertainty you observed in question 2, are the radiation measurements reliable enough to locate areas of concern?
a. Drag Long and Lat into Columns and Rows respectively.
4. Summarize the state of radiation measurements at the end of the available period. Use your novel visualizations and analysis approaches to suggest a course of action for the city. Use visual analytics to compare the static sensor network to the mobile sensor network. What are the strengths and weaknesses of each approach? How do they support each other?
a. Drag Long and Lat into Columns and Rows respectively.
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? Limit your response to 200 words and 3 images.
a. Drag Long and Lat into Columns and Rows respectively.
