Difference between revisions of "ISSS608 2016-17 T3 Assign KISHAN BHARADWAJ SHRIDHAR The Impact"

From Visual Analytics and Applications
Jump to navigation Jump to search
Line 29: Line 29:
 
*The persistent traffic in gates, with their fair share of heavy equipment which might presumably be used for road construction works and inconsistent patters such as ranger vehicles being found at night, 4 axle trucks moving through gates present patters that are not consistent. There is a case that the security by the patrolling is weak, where they allow 4 axle trucks to go into the gates. This is because according to the park rules, no other vehicle is allowed access. In addition, repeat visitors who are familiar with the camp such as the vehicle ID 20154519024544-322 might now begin to trespass to new areas, since they become familiar with the terrain every time they enter and hop across camps, etc. A stricter watch on these kind of anomalous behaviors should hopefully save the rose crested Blue Pipits and allow people coming to the preserve to enjoy nature&rsquo;s pristine beauty!</li>
 
*The persistent traffic in gates, with their fair share of heavy equipment which might presumably be used for road construction works and inconsistent patters such as ranger vehicles being found at night, 4 axle trucks moving through gates present patters that are not consistent. There is a case that the security by the patrolling is weak, where they allow 4 axle trucks to go into the gates. This is because according to the park rules, no other vehicle is allowed access. In addition, repeat visitors who are familiar with the camp such as the vehicle ID 20154519024544-322 might now begin to trespass to new areas, since they become familiar with the terrain every time they enter and hop across camps, etc. A stricter watch on these kind of anomalous behaviors should hopefully save the rose crested Blue Pipits and allow people coming to the preserve to enjoy nature&rsquo;s pristine beauty!</li>
 
</ul>
 
</ul>
 +
 +
 +
==References and Acknowledgements==
 +
 +
I would like to thank the following contributors below, without whom many of the visualisations nor analysis would have been possible.
 +
 +
 +
1. Bryant Bowell, for helping me start off the analysis by providing the map pack, accessed from [https://github.com/bryantbhowell/tableau-map-pack Github], which helped to plot custom polygons and eased the job of eyeballing for coordinates of various gates.<br />
 +
 +
2. Leonid Golub, for providing the [https://www.youtube.com/watch?v=1HwCzlA9hI4 tutorial for creating Sankey charts] in Tableau, which I have used and followed in my dashboard.More of the works on interesting plots with Tableau can be [https://www.superdatascience.com/yt-tableau-custom-charts-series/ accessed from here.]<br />
 +
 +
3. The [https://www.tableau.com/learn/training Tableau training videos] which were so easy to follow, navigate and learn from. <br />
 +
 +
4. Stephen Few and his brilliant blog, [https://www.perceptualedge.com/about.php Perceptual Edge], that share the best practices on making visualisations stand out. <br />
 +
 +
5. My fellow classmates, whose thoroughly professional works can be accessed from the Assignment Dropbox, found two pages previous to the current one you are reading. Special thanks to Ten Kao Yuan and Zheng Bijun, whose constructive feedback helped me make those vital last minute tweaks.<br />
 +
 +
6. Last but definitely not the least, [https://sis.smu.edu.sg/faculty/profile/9618 Prof. Kam Tin Seong], who was the mentor for all our initiatives and guided us in the right direction. Special thanks for the instantaneous feedbacks he has provided throughout the journey.<br />
 +
 +
 +
 +
Hope you enjoyed reading through the story I have developed. Thank You once again for visiting my page.

Revision as of 14:39, 16 July 2017

Wrapping it up

The dashboard for the visualisation can be found at this link.


*Please be patient while the data loads, after which you may hover over any point on the plot to read the relevant statistics.

  • You may even select a strip from the titled bars and the view will populate accordingly.
  • For e.g. selecting Car Type 2 axle bus will show data for 2 axle bus only.
  • In addition you may use the filters on the extreme right.
  • Please leave your feedback in the main page.

The complete Tableau workbook for seeing all the plots developed in relation to the analysis can be accessed from here.


3 reasons why the fantastic blue pipits are disappearing and how to rescue them?

The storyboard goes as follows..................


The three top patterns that can cause impact to birdlife can be:


    • The contrasting patters of traffic and speed across the observation period illustrate that when the roads are clogged in the holiday season, the traffic is affecting birdlife directly. When the traffic eases, the speeds by all vehicle types begin to increase, which causes the natural rhythm of the bird habitat to be disturbed. The two-fold effect of traffic, whether it is high or low, is thereby suspected to have an impact.


    • From the map, it can be inferred that the middle corridor is being used the most by vehicles and that the diametrically opposite camps- camping 8 and camping 5 are being thronged by people almost all throughout the 13-month period. What this means is that even if the birds decide to migrate within the preserve, they might not be spared as there is constant footfall on either side of the preserve.


    • The persistent traffic in gates, with their fair share of heavy equipment which might presumably be used for road construction works and inconsistent patters such as ranger vehicles being found at night, 4 axle trucks moving through gates present patters that are not consistent. There is a case that the security by the patrolling is weak, where they allow 4 axle trucks to go into the gates. This is because according to the park rules, no other vehicle is allowed access. In addition, repeat visitors who are familiar with the camp such as the vehicle ID 20154519024544-322 might now begin to trespass to new areas, since they become familiar with the terrain every time they enter and hop across camps, etc. A stricter watch on these kind of anomalous behaviors should hopefully save the rose crested Blue Pipits and allow people coming to the preserve to enjoy nature’s pristine beauty!


References and Acknowledgements

I would like to thank the following contributors below, without whom many of the visualisations nor analysis would have been possible.


1. Bryant Bowell, for helping me start off the analysis by providing the map pack, accessed from Github, which helped to plot custom polygons and eased the job of eyeballing for coordinates of various gates.

2. Leonid Golub, for providing the tutorial for creating Sankey charts in Tableau, which I have used and followed in my dashboard.More of the works on interesting plots with Tableau can be accessed from here.

3. The Tableau training videos which were so easy to follow, navigate and learn from.

4. Stephen Few and his brilliant blog, Perceptual Edge, that share the best practices on making visualisations stand out.

5. My fellow classmates, whose thoroughly professional works can be accessed from the Assignment Dropbox, found two pages previous to the current one you are reading. Special thanks to Ten Kao Yuan and Zheng Bijun, whose constructive feedback helped me make those vital last minute tweaks.

6. Last but definitely not the least, Prof. Kam Tin Seong, who was the mentor for all our initiatives and guided us in the right direction. Special thanks for the instantaneous feedbacks he has provided throughout the journey.


Hope you enjoyed reading through the story I have developed. Thank You once again for visiting my page.