USING TIME CARTOGRAMS TO EXPLORE
TEMPORAL DATA: DO THEY WORK?
Rehmat Ullah, Menno-Jan Kraak, Corné P.J.M. van Elzakker
{rehmat, kraak, elzakker}@itc.nl
OVERVIEW
Problem/context
Existing solutions
Time cartograms
Usability survey
Results
Conclusion
Future work
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GEOGRAPHICAL DATA
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TEMPORAL DATA
Free Movement
Movement along a fixed network
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PROBLEM
Difficult to get insight into these data
Interactive visual analytical representations
need to be designed in order to
Analyze and synthesize these data
Produce useful insights about phenomena and
systems associated with these data
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EXISTING SOLUTIONS (1)
Single map approaches
space-time cubes
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EXISTING SOLUTIONS (2)
Series of maps
Flow maps
Animations
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ISSUES WITH EXITING SOLUTIONS
Limited in scope
Memory overload issues
e.g. Animations
Visual clutter problems
e.g. Space-time cubes and flow maps
Expensive in terms of visual space
e.g. Flow maps
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TIME CARTOGRAMS
Map transformation
Geographic distance time distance
Geography/space is distorted accordingly
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TYPES OF TIME CARTOGRAMS
Network based
Some work has been done on network
based time cartograms
e.g. Bies and van Kreveld, 2012; Ramaer, 2011 ;
Chen, 2011; Kaiser et al., 2010 ; Shimizu and
Inoue, 2009
Free
Little or no work has been reported on
time cartograms for free movement
More exciting and difficult
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EXAMPLE OF NETWORK BASED (1)
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EXAMPLE OF NETWORK BASED (2)
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USABILITY SURVEY
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GEOGRAPHIC vs. SCHEMATIC vs. CARTOGRAM
• Effectiveness
• Efficiency
• Satisfaction
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SURVEY EXECUTION
8 temporal questions/tasks
Tasks were mainly realistic and were related to
characteristics like identify, locate, and compare in time
Randomized algorithm was used to select maps
Test persons answer first 4 questions using the first map
(selected randomly)
And next 4 questions using second map (also selected
randomly)
Complexity of the tasks was even for each type of map
Finally they give a rank to each map independently
ranging from “Very Poor” to “Very Good”
Created and maintained using LimeSurvey
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TEMPORAL TASKS (1)
Locate
Mr. Smith is in Eindhoven to attend a 3-days
workshop at the Eindhoven University of
Technology. On one of the workshop days he
wants to visit another city that is close to
Eindhoven.
Could you please list all cities to Mr. Smith that
are reachable by train within 60 minutes from
Eindhoven?
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TEMPORAL TASKS (2)
Compare
Mr. Malik has only 3 days left in the Netherlands
and wants to visit the Burgers Zoo in Arnhem, the
Railway Museum in Utrecht, or the St. Pietersberg
Caves in Maastricht.
He plans to visit a place which is the nearest to
Eindhoven out of these three.
Could you please tell Mr. Malik the nearest place?
Arnhem
Utrecht
Maastricht
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TEMPORAL TASKS (3)
Identify
Which pair of stations is closer (in time) to each other?
(Eindhoven, Oss)
(Eindhoven, Roermond)
(Eindhoven, Breda)
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TEST PERSONS
35 test persons from 21 different
nationalities
MSc and PhD students, GIP’s staff
members
Frequent users of maps
Make use of the Dutch trains
Little or no knowledge about the
geography of the Netherlands
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RESULTS
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EFFECTIVENSS
100%
90%
Average Accuracy
80%
70%
60%
50%
Geographic
40%
Schematic
30%
Cartogram
20%
10%
0%
Task 1
[Locate]
Task 2
[Compare]
Task 3
[Locate]
Task 4
[Identify]
Task 5
[Locate]
Task 6
[Compare]
Task 7
[Locate]
Task 8
[Identify]
Temporal Tasks
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EFFICIENCY
Average Execution Time (in seconds)
350
300
250
200
Geographic
150
Schematic
Cartogram
100
50
0
Task 1
[Locate]
Task 2
[Compare]
Task 3
[Locate]
Task 4
[Identify]
Task 5
[Locate]
Task 6
[Compare]
Task 7
[Locate]
Task 8
[Identify]
Temporal Tasks
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SATISFACTION
Cartogram Map
Schematic Map
Geographic Map
Very Good
Good
Average
Poor
Very Poor
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CONCLUSION & FUTURE WORK
Cartograms
Effective
Efficient
Perform better than the other two maps concerning the
temporal aspects
Create cartograms for free movement data
Test their usability
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