Long Nguyen,
Texas Tech University, long.nguyen@ttu.edu
PRIMARY
Tommy Dang, Texas Tech University, tommy.dang@ttu.edu
Student Team: NO
MS Word
MS Excel
WebStorm 2016
Approximately how many hours were spent
working on this submission in total?
450 hours
May we post your submission in the
Visual Analytics Benchmark Repository after VAST Challenge 2017 is complete? YES
Video
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’m getting coffee
“to-go”). Please limit your answer to six images and 500 words.
Pattern
1
There
are rangers who used to come to all ranger stops to work almost every day. They
start from 6am-4pm and spend 6.5 -> 10 hours for travelling and working at
all ranger-stops. Maximum time spent in each ranger stop is from 36 minutes to
1 hours.
The
pattern represents for activities of rangers who work like security controller.
They check the location, the work at each location and verify the performed job
is done properly.
Pattern
2:
There
are passing cars of all types (1,2,3,4,5 and 6) in entire year and every hour
of day. They arrive in and pass through some general gates in their path then
exit the Preserve. These are non visitors or passing cars.
Pattern
3:
There
are groups of cars who come for camping from 6am to 6pm and get to camping
grounds and stay overnight for one day or multiple days and then leave the
Preserve.
These
car types are 1, 2 and 3. So we can assume that the pattern represents for
families, group of students who spend a long trip camping.
Pattern
4:
There
are individuals who enter the Preserve and go to camping grounds for 3 minutes
then leave the Preserve.
The
car types are 1, 2 and 3. These cars arrive in the Preserve at around 5am to
4pm. So we can assume that these are taxi drivers who takes people to camping
ground.
Pattern
5:
There
are cars (type 1, 2 and 3) who come and leave the camping ground at sharp time
(from 9am, 10am, to 3pm, 4pm).
These
are camping or tour service who organizes camping for people so they used to
come and leave at sharp time.
Pattern
6:
There
are groups of cars type 1, 2, and 3 who change camping grounds.
These cars go to camping ground 1 and quickly
more to other camping grounds. We can assume that there is something going on
with camping ground 1 (not exciting, etc) so that people decide to change the
camping ground.
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.
Pattern 1:
There are individuals who like to camp.
In the figure, the person comes to the Preserve
around 12:30pm on Friday at entrance 3 then stops at camping 0. This person
spends weekend here and leave the Preserve in reversed path at around 10:00pm
on Sunday.
Pattern 2:
Many people come to the Preserve during summer
time.
The car types are 1, 2 and 3. They come more
mainly in early June to end of September. They either camp within one day or
stay over night for a period of time. Moreover, people come more in weekends
which is a common behavior.
Pattern 3:
Camping 1 gain less attention to both visitors
and rangers for entire year.
This patterns tell that camping ground 1 may have
some maintenance work so that there are less activities and people avoid to
camp in this location.
Pattern 4:
There are 3 axle trucks come to Preserve early in
the morning on Tuesday and Thursday.
These cars come to the Preserve via entrance 3,
and enter ranger-stop 3 then perform some work at ranger stop 3 for 12 minutes
then get out with the reversed path. This pattern occurs periodically so we can
assume there are unnormal activities.
Pattern 5:
There are some individuals (car type 4) who get
in the Preserve at entrance for 5 seconds late in the evening and get out then
pass through the Preserve on next day in the morning.
We can assume these individuals come by to buy
passing ticket for next day usage.
Pattern 6:
There is an individual on car type 1 who likes to
camp through out the year. He comes to every camping ground (except camping 1)
and stays for a month then moves to the next ones.
We can assume that this individual earns a living
within the Preserve via their activities in camping location.
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.
Pattern 1:
There are individuals who get in the Preserve
early in the morning and perform some activities at ranger stop 3 as described
in Pattern 4 in the answer for Question 2. This activity is unusual because it
happens very early in the morning when everybody is sleeping, also it happens
in the area where no public car is allowed.
Pattern 2:
The individual who earns a living in camping
locations as described in pattern 6 (question 2) is unusual. This activity is
unusual because its in-camping period is similar between summer and even winter
when less people come for camping.
Pattern 3:
There are individuals (2 axle car) who get in
ranger-stop 1 without passing other gates. They stay for around 4 hours then
leave the entrance without passing any other gates (gate2).
The pattern is unusual because these cars get to ranger-stop
without recording of its travelling path beside the ones at entrance and
ranger-stop.
Pattern 4:
There is individual (2 axle car) who comes in and out the
camping ground repeatedly in short period of time.
This activity is unusual because the individual spent time in
camping and left on Sunday. But then he turns back right after 30 minutes for
two times. The pattern may represent for a car returning to pickup something
missing. However, it happens twice so it is hard to explain and considered as
unusual pattern.
Pattern 5:
There are cars (type 1, 2 and 3) who arrive in the Preserve
then get to camping ground before losing its records.
It seems that this is a pattern represents cars whose passing
tickets get lost. However, this pattern is unusual because if this is because
the car lost its passing ticket then why it does not happen before, only occurs
at recent time (may 2016).
Pattern 6:
Rangers pay more attention to ranger-stop 3. Almost everyday,
there are rangers who come to ranger-stop 3 and do some work there.
4 –– 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)
Pattern 1 (activities of car type 4 at ranger-stop3 in the
morning), pattern 2 (individual earns a living in camping grounds) and pattern
6 (rangers spend more time at ranger-stop3) are more impactful to bird life.
Pattern 1 and pattern 6 may connect to the act of cutting tree and selling them
to people outside of the Preserve. Hence it may affect to bird’s nest and its
life. Pattern 2 is from an individual. however this person does not go out for
entire year even in winter. It is possible that the individual lives by
catching birds for food and money.