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Geo Visualization
Introduction
Ron van Lammeren2010-2011 | GRS60312
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Why visualize
[ Dransch, 2000; Bill, 2001
To motivateTo demonstrate an ideaTo put information in a (spatial) contextTo create mental models out of spatial elements and relations
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Power of Graphics
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Visualization . . . a definitionDefinition:
. . . . visualization refers to the process. It’s a series of transformations that convert raw simulation data into displayable images to convert the information into a format understanding by the human perceptual system . . . . . . .
(Visvalingam, 1994)
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Experiment
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Geo-Visualisation Time linetraditional mapping and mapmaking, 3rd century
GIS based, 1974
animation – time series, 1990data exploration – different views, 1994
hypermedia, 1994 realistic representations, 1996
demand driven, 2000wearable computing, 2002
3D CAD based, 1980
Google Earth, SketchUp, 2005WEB 2.0, 2001-2004
SecondLife, 2003-2006
scientific visualization, 1987
Layar, 2009
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Digital Scenes - VR
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Augmented reality and 3D (summer 2009)
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Geo VisualizationGeovisualization can be described as a loosely bounded domain
that addresses the visual exploration, analysis, synthesis and presentation of geospatial data
by integrating approaches from
cartography with those from other information representationand analysis disciplines, including scientific visualization, image analysis, information visualization, exploratory data analysis and GI Science“
Kraak 2005 after Dykes, et al., 2005
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Scientific Visualization – concepts (Wikipedia)
Computer Animation
Computer Simulation
Information Visualization
Interface technology and Perception
Surface Rendering
Volume Rendering
Volume visualization
http://en.wikipedia.org/wiki/Scientific_visualization
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Visualization – concepts (IBM)
> Relationships among data points
> Compare a set of values
> Time series
> Parts and wholes
> Text analyses
> See the world
http://www-958.ibm.com/software/data/cognos/manyeyes/
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A Periodic Table of visualization (lengler & eppler)
Roles of visualization
Process or Structure oriented
‘Scale’ issue – overview vs detail
Support divergent / convergent ‘thinking’
www.visual-literacy.org
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Learning objectives
understand the meaning of geo-visualization apply a variety of geo-visualizations exploit the concepts underpinning geo-visualization recognize the technology behind support the research agenda
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GeoVisualization in GRS-60312
overview and some practice
~ 40 hours [ 4 lectures, 2 url/literature + assignments ]
website
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Lectures
2/5 GeoVisualization – introduction 9 – 10:30 am6/5 Visualization in Research projects 10:30 – 12 am, Gaia 110/5 Space-Time based visualizations 10:30 – 12 am, Gaia 111/5 Usability of visualizations 10:30 – 12 am, Gaia 1
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Course activities
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How to present my geo data ?
Visualizationdefinitions
Map makingCartographic process / 12 steps Visual triggersTheory of Bertin
Mapsby functionby type
Geo-information process
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What a disaster !!
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Final result
PPT + AVI + KML / VRML files Per group (2 persons )Hand in (by Sendit to [email protected] ) Monday May 16th at 5 pm
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• History• Geo-visualisation: definition• 2D and 3D visualisation• Usability and perception• Constructing visualisations• Visualisation outlook• Summary
Items Contents
reader : Lo, Yeung, 2002, Concepts and techniques of GIS, chapter 7
geovis_history09.pdf
geovis_def09.pdfvisualanalytics09.pdf
geovis_2D3D09.pdf
geovis_loyueng08.pdf
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Research lessons - Your interest Catalyst in joint - cooperative researchCatalyst in multi / inter / transdisciplinary research
Division between geo data and geo visualizationGeo-visualization refers also to interfaces
Visualization of data Visualization in relation to tools [ to analyze, to simulate, to sketch]
Geo-visualization as dialogue tool :Mental MappedResearchers and Research populationAmongst researchersResearchers and society (incl policy makers)
Geo-visualization: doesn’t cure research ‘illness’ !!!
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Imagineyourvisualization
© Wageningen UR 2010-2011|rvl
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Kraak and Dykes, 2005
Visual explorationAnalysis | Synthesis | Presentation
of geospatial data
by integrating approaches fromcartography with those from other information representation and analysis disciplines, including
scientific visualization, image analysisinformation visualization, exploratory data analysisand GI Science“