Entry Name: "TCS-Paneri-MC1"
VAST
Challenge 2017
Mini-Challenge 1
Team Members:
Replace this list of team members with the names,
affiliations, and email addresses of your own team. Indicate the primary point
of contact.\A0 Example:
Kaushal Paneri, TCS Research, kaushal.paneri@tcs.com PRIMARY Bindu Gupta, TCS Research, bindu.gupta2@tcs.com Gunjan Sehgal, TCS Research, sehgal.gunjan@tcs.com Karamjit Singh, TCS Research, karamjit.singh@tcs.com Geetika Sharma, TCS Research, geetika.s@tcs.com Gautam Shroff, TCS Research, gautam.shroff@tcs.com Student Team: NO Python Java HTML Javascript CSS d3.js Libreoffice Calc Approximately how
many hours were spent working on this submission in total? 90 May we post your
submission in the Visual Analytics Benchmark Repository after VAST Challenge
2017 is complete? YES Video Provide
a link to your video.\A0 Example: https://www.youtube.com/watch?v=IhyC4xYv2Ro&feature=youtu.be Questions 1 Patterns of Life : Analyses depend on
recognizing repeating patterns of activities by individuals or groups. Describe
up to six daily patterns of life by vehicles traveling through and within the park.
Characterize the patterns by describing the kinds of vehicles participating,
their spatial activities (where do they go?), their temporal activities (when
does the pattern happen?), and provide a hypothesis of what the pattern
represents (for example, if I drove to a coffee house every morning, but did
not stay for long, you might hypothesize I\92m getting coffee \93to-go\94). Please
limit your answer to six images and 500 words. Provide your answer
and corresponding images here. 2 Patterns of Life analyses may also
depend on understanding what patterns appear over longer periods of time (in
this case, over multiple days). Describe up to six patterns of life that occur
over multiple days (including across the entire data set) by vehicles traveling
through and within the park. Characterize the patterns by describing the kinds
of vehicles participating, their spatial activities (where do they go?), their
temporal activities (when does the pattern happen?), and provide a hypothesis
of what the pattern represents (for example, many vehicles showing up at the
same location each Saturday at the same time may suggest some activity
occurring there each Saturday). Please limit your answer to six images and 500
words. Provide your answer
and corresponding images here. 3 Unusual patterns may be patterns of
activity that changes from an established pattern, or are just difficult to
explain from what you know of a situation. Describe up to six unusual patterns
(either single day or multiple days) and highlight why you find them unusual.
Please limit your answer to six images and 500 words. Provide your answer
and corresponding images here. 4 \96 What are the top 3
patterns you discovered that you suspect could be most impactful to bird life
in the nature preserve? (Short text answer)
Provide
your answer here.
Tools Used:
2. December and January has least visitors (Probably because of winter).
3. We created 2D heatmaps for each Car id per day with x-axis: locations, y-axis: time (5 min bins) and performed Birch clustering over all heatmaps. We prepared Movement vis to analyse the clusters.
Most popular camping sight is camping5. Followed by Camping4(cluster5), Camping8 (cluster6), Camping2 (Cluster4), Camping3 (Cluster7), Camping0(Cluster2), Camping7(Cluster1).
4. Most Vehicles use park roads to pass through.
6. The movement vis allows the operation of group clusters by different dimension. When we group the clusters by Vehicle-type, we get to see that vehicle Type 5 and 6 fall into the same big cluster.
Therefore, it can be concluded that majority of 2-Axle and 3-Axle buses just pass through and only use roads to go to south entrance or coming from south. So, they're falling into same big cluster.
7. 2p vehicles spend 2-3 hours a day and mostly spend time at ranger-stops.
2. 2 Ranger-ids on 12th and 19th May, 2016 were showing exact spatio-temporal pattern.
3. 18 cars stayed for more than 19 days continuously inside the park. They are detected at only one camping for these many days. They must have been keeping their vehicle at a camping area and then roam around the park or they are those extended professional or hobbiest intended to study some bird species located on a particular camping area.
4. 6 of the "4-axle truck or above" were detected 2 times at entrance for 5 seconds only at various entrances and then appeared back after few hours from the same gate.
20161008061012-639 - at entrance 3
20154501084537-684 - at entrance 3
20160623090611-424 - at entrance 1
20150322080300-861 - at entrance 0
20153427103455-30 - at entrance 2
20150204100226-134 - at entrance 4