From Cartography to Geovisual Analytics · computer cartography exploratory data analysis!...
Transcript of From Cartography to Geovisual Analytics · computer cartography exploratory data analysis!...
From Cartography to Geovisual AnalyticsMenno-Jan Kraak
From Cartography to Geovisual Analytics
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• Introduction
• (Geo) Visual Analytics
• Detect the expected and discover the unknown
• Some examples
• Conclusions
Cartography
Geographic Data
visualization process
How do I say What to Whom, and is it effective?
Map
November 26
French troops
What happens in cartography?
[source: New York Times]
What happens in cartography? Cartographers and map makers
http://www.visualcomplexity.com/vc/
Cartographers and map makers Exploratory tools
A little history
200197 198 199
geovisualization
information visualization
KNOWLEDGE
geovisual analytics
visual analyticsREASONING
computer cartography
exploratory data analysis!scientific visualization!human computer interaction
INSIGHT
Increase in amount and diversity of data
cartographyINFORMATION
geography, design, art
Beyond Geovisualization: Visual Analytics
• The science of analytical reasoning facilitated by interactive visual interfaces (Thomas & Cook, 2005)
http://nvac.pnl.gov/agenda.stm
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Detect the expected and discover the unknown
Detect the expected and discover the unknown
• Alternative insight in performance
Running
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Running Sense making
modellingknowlegde
visualization
data
transformation
mapping
data mining
model building
model visualization
parameter refinement
user interfaceb)
Working environment for visual exploration
Time space
Location space Attribute space
M A P D I A G R A M
T I M E G R A P H
Geovisual analytics
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• Geovisual analytics focuses on visual interfaces to analytical methods that support reasoning with and about geo-information – to enable insights about something for which place matters
(MacEachren, 2012)
Problem domain
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Human geographers
Understand the behavior of suburban dwellers
When… What…… Which……. How often………….
Data
Visualization environment
Problem
Question
User
User task
Design guideline
Visualization strategy
Cartographers and domain experts at work
source: Irma Kveladze
Tallinn data
Tallinn: Space and time Traffic jam?
a)
Explore Explore
Explore
d)
Maps?
• are effective because they present a selection from reality via a well design symbolization, but....
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• (many) of today’s maps show data complexity (geovisual analytics) or chaos (neo-geography)
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• Is it really problematic or is there a new generation of users with other visual ‘capabilities’?
• Do we need new maps / new principles?
Conclusions
• Maps are healthy
• However, constantly evaluate (and when necessary adapt) our mapping principles in new contexts