Geo Visualization
Introduction
Ron van Lammeren 2010-2011 | GRS60312
1/14 Why visualize
To motivate To demonstrate an idea To put information in a (spatial) context To create mental models out of spatial elements and relations
[ Dransch, 2000; Bill, 2001
2/14 Power of Graphics
3/14 Visualization . . . a definition
Definition: . . . . 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)
4/14 Experiment
5/14 Geo-Visualisation Time line traditional mapping and mapmaking, 3rd century
GIS based, 1974 3D CAD based, 1980 scientific visualization, 1987 animation – time series, 1990 data exploration – different views, 1994 hypermedia, 1994 realistic representations, 1996 demand driven, 2000 wearable computing, 2002 WEB 2.0, 2001-2004 Google Earth, SketchUp, 2005 SecondLife, 2003-2006 Layar, 2009
6/14 Digital Scenes - VR
7/14 Augmented reality and 3D (summer 2009)
8/14 Geo Visualization Geovisualization 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 representation and analysis disciplines, including scientific visualization, image analysis, information visualization, exploratory data analysis and GI Science“
Kraak 2005 after Dykes, et al., 2005
9/14 Scientific Visualization – concepts (Wikipedia) http://en.wikipedia.org/wiki/Scientific_visualization
Computer Animation
Information Visualization
Interface technology and Perception
Surface Rendering
Volume visualization
10/14 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/
11/14 12/14 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
13/14 14/14 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
15/14 GeoVisualization in GRS-60312
overview and some practice
~ 40 hours [ 4 lectures, 2 url/literature + assignments ]
website
16/14 Lectures
2/5 GeoVisualization – introduction 9 – 10:30 am 6/5 Visualization in Research projects 10:30 – 12 am, Gaia 1 10/5 Space-Time based visualizations 10:30 – 12 am, Gaia 1 11/5 Usability of visualizations 10:30 – 12 am, Gaia 1
17/14 Course activities
18/14 How to present my geo data ? Geo-information process Visualization z definitions Map making z Cartographic process / 12 steps z Visual triggers z Theory of Bertin Maps z by function z by type
19/14 What a disaster !!
20/14 Final result
PPT + AVI + KML / VRML files Per group (2 persons ) Hand in (by Sendit to [email protected] ) Monday May 16th at 5 pm
21/14 Items Contents
geovis_history09.pdf •History visualanalytics09.pdf • Geo-visualisation: definition geovis_def09.pdf • 2D and 3D visualisation geovis_2D3D09.pdf • Usability and perception • Constructing visualisations • Visualisation outlook •Summary
reader : Lo, Yeung, 2002, Concepts and techniques of GIS, chapter 7 geovis_loyueng08.pdf
22/14 Research lessons - Your interest Catalyst in joint - cooperative research Catalyst in multi / inter / transdisciplinary research
Division between geo data and geo visualization Geo-visualization refers also to interfaces z Visualization of data z Visualization in relation to tools [ to analyze, to simulate, to sketch] Geo-visualization as dialogue tool : z Mental Mapped z Researchers and Research population z Amongst researchers z Researchers and society (incl policy makers) Geo-visualization: doesn’t cure research ‘illness’ !!!
23/14 Imagine your visualization
© Wageningen UR 2010-2011|rvl
24/14 Kraak and Dykes, 2005
Visual exploration Analysis | Synthesis | Presentation of geospatial data by integrating approaches from cartography with those from other information representation and analysis disciplines, including scientific visualization, image analysis information visualization, exploratory data analysis and GI Science“ 25/14