Difference between revisions of "Arisaig Final Progress"

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<div style="background: #fee5d9; padding: 5px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #cb181d solid 32px; font-size: 20px"><font color="#333333">ANALYSIS APPROACH</font> <font color="#cb181d"> &</font><font color="#333333"> CHALLENGES FACED</font></div>
 
<div style="background: #fee5d9; padding: 5px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #cb181d solid 32px; font-size: 20px"><font color="#333333">ANALYSIS APPROACH</font> <font color="#cb181d"> &</font><font color="#333333"> CHALLENGES FACED</font></div>
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'''Data Understanding & Representation'''<br>
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As mentioned of the nature of the project, it involves the use of multi-dimensional data, the following are the main categories that the project uses:<br>
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* Spatial (geographical) data
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* Temporal (time-series) data<br>
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This creates challenges in terms of understanding how the various data interact and work together as well as the representations of  the findings of  the patterns and relationships within the data.  In the following parts, the main challenges addressed in this thesis are:<br>
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# Visual Representation of Spatial Data
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# Visual Representation of Temporal Data
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# Visual Representation of High Dimensional Data
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# Interactivity of  Multi-Linked Views
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# Context Provision
  
Here is the application
 
  
 
<div style="background: #fee5d9; padding: 5px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #cb181d solid 32px; font-size: 20px"><font color="#333333">TECHNICAL </font> <font color="#cb181d"> CHALLENGES</font></div>
 
<div style="background: #fee5d9; padding: 5px; font-weight: bold; line-height: 1em; text-indent: 15px; border-left: #cb181d solid 32px; font-size: 20px"><font color="#333333">TECHNICAL </font> <font color="#cb181d"> CHALLENGES</font></div>

Revision as of 16:41, 20 April 2015

Appannalogo.png Home Project Proposal Project Management Project Progress Project Final Progress Final Deliverable


ANALYSIS APPROACH & CHALLENGES FACED

Data Understanding & Representation
As mentioned of the nature of the project, it involves the use of multi-dimensional data, the following are the main categories that the project uses:

  • Spatial (geographical) data
  • Temporal (time-series) data

This creates challenges in terms of understanding how the various data interact and work together as well as the representations of the findings of the patterns and relationships within the data. In the following parts, the main challenges addressed in this thesis are:

  1. Visual Representation of Spatial Data
  2. Visual Representation of Temporal Data
  3. Visual Representation of High Dimensional Data
  4. Interactivity of Multi-Linked Views
  5. Context Provision


TECHNICAL CHALLENGES

Here is the report