Difference between revisions of "Talk:ISSS608 2016-17 T3 Assign PRIYADARSHINI TOP 3 FISHY STUFF"

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(Created page with "== Comment 1 == Interesting visuals Priya. The gif format helped me to understand the movement of the vehicles and the usual patterns. I felt more story could be uncovered by...")
 
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== Comment 1 ==
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[[User:Rogers.2016|Rogers.2016]] ([[User talk:Rogers.2016|talk]]) : Hi Priya!! Interesting visuals. The gif format helped me to understand the movement of the vehicles and the usual patterns. I felt more story could be uncovered by calculating the time spent in each locations. You would get interesting stories and hypothesis based on the amount of time they have spent at each and every spot. The path movements does give interesting patterns but there are possibilities that the vehicle might be parked at a particular location and the individual would have roamed to nearby spots. These information can be uncovered using time spent at different locations.
Interesting visuals Priya. The gif format helped me to understand the movement of the vehicles and the usual patterns. I felt more story could be uncovered by calculating the time spent in each locations. You would get interesting stories and hypothesis based on the amount of time they have spent at each and every spot. The path movements does give interesting patterns but there are possibilities that the vehicle might be parked at a particular location and the individual would have roamed to nearby spots. These information can be uncovered using time spent at different locations.
 

Revision as of 16:13, 12 July 2017

Rogers.2016 (talk) : Hi Priya!! Interesting visuals. The gif format helped me to understand the movement of the vehicles and the usual patterns. I felt more story could be uncovered by calculating the time spent in each locations. You would get interesting stories and hypothesis based on the amount of time they have spent at each and every spot. The path movements does give interesting patterns but there are possibilities that the vehicle might be parked at a particular location and the individual would have roamed to nearby spots. These information can be uncovered using time spent at different locations.