Difference between revisions of "IS428 2019-1920 T1 Assign LeeSunho Task one"

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==Taks One==
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<b><font size = 5.8; color="#228B22"> Take One </font></b>
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<font size="3"><font color="#8FBC8F">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? Limit your response to 1000 words and 10 images.</font></font></b>
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==<font color="#008000">Taks One</font>==
 
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<th>Explanation</th>
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<th><font color="#008000">Explanation</font></th>
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<th>Visual Representation</th>
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<th><font color="#008000">Visual Representation<font></th>
 
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<td><b> 1.Segmenting type of visitors </b>
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<td><b><font color="#008000"> 1.Cartogram </font</b>
 
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[[File:Carogram chart.jpg|500px|center]]
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<td><b> 2.Connecting the gate names and drawing the paths </b>
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<td><b> <font color="#008000">2.LINE</font </b>
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<br>For a more flexible analysis, the raw gate-names were aggregated into 5 broader gate categories as shown below. Analysis could be conducted on both the gate categories as well as individual gates.
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Also, based on the data descriptions and the map provided, certain gates are identified as restricted gates (highlighted in red). Supposedly, the restricted gates are only accessible by 2P cars thus the marking of restricted gates will be useful for us to identify any anomalies, as in trespassing vesicles.
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<td>[[File:gyf_m_11.png|500px|center]]</td>
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<td>[[File:Line Chart question 1.jpg|500px|center]]</td>
 
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<td><b> 3.Understand the paths</b>
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<td><b> <font color="#008000">3.Heat Map</font</b>
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<br>The data provided is all about the names of the sensors taking the readings (gate-names) and the date and time when the readings were taken (timestamps). This provides valuable information on the paths adopted by different vehicles inside the preserve – where did they go and what time did they go. Thus, one of the core patterns of life analysis will be centered around the paths adopted by different types of visitors identified in 1.
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<br>Two terminologies used in the analysis need to be clarified before we move on to the analysis result, paths vs sequences.
 
<br>Two terminologies used in the analysis need to be clarified before we move on to the analysis result, paths vs sequences.
  
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<br>In this analysis, a <b>path</b> is defined as a series of categories of gates visited by different vehicles in a chronological order. The path analysis looks at the movement in the reserve at a broader level, for example, how many visitors following the movement pattern of entrance->camps->entrance. In this case, a vehicle moves from entrance1 ->camp1->entrance3 will be taken as being traveled along the same path as a vehicle which moves from entrance2 ->camp1->entrance4. Here, we are interested in HOW the vehicles move around the park.
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<br>On the other hand, a <b>sequence</b> is defined as the series of individual gates visited by different vehicles in the chorological order. Taking the same path example given above, now in the sequence analysis we’ll consider the two vehicles as being travelled by different sequences. Now we are interested in WHERE the vehicles move around the park at different time periods.
 
 
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The paths:
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[[File:Heatmap perday.png|500px|center]]
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[[File:gyf_m_2.png|500px|center]]
 
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The sequences:
 
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[[File:gyf_m_3.png|500px|center]]</td>
 
 
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<td><b> 4.Interpretations on "patterns of life" analysis </b>
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<td><b> <font color="#008000">4.Box" analysis </font</b>
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<br>For the daily patterns, we look at the activities of different types of vehicles at different hours of the day – what time they go to the reserve, what time they leave and where do they go at different hours.
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<br>For the longer period patterns, we look at the activities of different types of vehicles at specific day of week, day of month or months.
 
  
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<br>For the visualization design, an interactive date parameter is introduced to allow the users to switch between different time periods to be used for the analysis easily.
 
 
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<td>[[File:gyf_m_4.png|500px|center]]</td>
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[[File:Question1 boxchart.jpg|500px|center]]
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<td><b> 5.Overall visualization design concepts </b>
 
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<br>6 types of visitors, 5 categories of gates and 3 time intervals for analysis – this challenge deem to be an intriguing one. Thus, the visualizations were designed make full use of Tableau’s interactivity such that we can provide a tool for the users to customize their analysis as much as possible. The users are able to filter the different input parameters (visitor type, gates, time), choose the extent of animation (for the paths) and choose what is the area of focus for the analysis by playing with the colors. This will be explained in greater details in the dashboard designs section.
 
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Latest revision as of 04:19, 12 October 2019

Take One

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? Limit your response to 1000 words and 10 images.

hi

Taks One

Explanation Visual Representation
1.Cartogram </font


description

Carogram chart.jpg
2.LINE</font


line

Line Chart question 1.jpg
3.Heat Map</font


HEat


Two terminologies used in the analysis need to be clarified before we move on to the analysis result, paths vs sequences.



Heatmap perday.png
4.Box" analysis </font


Box


Question1 boxchart.jpg
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