Difference between revisions of "ISSS608 2016-17 T3 Assign SANDHYA VASUDEVA RAO"
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Revision as of 20:26, 16 July 2017
Boonsong Lekagul Nature Preserve - Mini Challenge 1
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Overview & Data Preparation]] |
Top 3 Patterns and Recommendations
1) In the months of June, July, and August, both single day visitors and multiple visitors see a peak. Especially in the year 2015. 3 axle trucks hit the peak in September. Since these months are also known to be the mating months for the birds, the Preserve should take required measures to curb traffic during these months.
2) 2 axle car (or motorcycle) is the most popular vehicle visited overall in 2 years. However, these car-types may not cause as much sound as the trucks. Except for the peak season where the number of 2 axle car (or motorcycle) hit the peak, measures to curb trucks and other vehicles need to be considered to protect birds from flying away or reduce in number.
3) Camping is not popular compared to general gates and other gate types. This indicates that the movement of vehicles is more than parking of vehicles which curbs traffic at least to an extent. This could be a threat to the habitats as more vehicles keep moving around the preserve which might disturb the birds. Therefore, Park authorities need to encourage camping, reduce buses and motorcycles roaming around the place. Nature Preserve can even introduce alternate means of commute inside such as cycling, and setting up walking trails.
Comments and Discussions
Priyadarshi.2016 (talk) Hi! Great visualisations on the frequency. It emphasises the 3 axel Truck frequency rise. I think you should enlarge them. Also how did u know September was mating season? I may have missed it. For point 3, had I had my way I would not have any car in the reserve. Roger's recommendation is interesting on having parking lots.
Anuthamam.2016 (talk) : Good method of splitting the cars in one day travelers and multiple day travelers. That is something that I wished I had done. Another unique thing I find in your analysis is how you have linked the bird's lifestyle in your analysis and linked it with the happenings in the preserve. That is a tangent that was missed in most of our analysis . For future works you could do a time based analysis drilled down to hours and weekdays[Monday, Tuesday, etc] level. I found those to be useful in my analysis, especially when linked with path via a dashboard
