Ron van Lammeren 2010-2011 | GRS60312 · 23/14 Research lessons - Your interest Catalyst in joint -...

1/14

Geo Visualization

Introduction

Ron van Lammeren2010-2011 | GRS60312

2/14

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

3/14

Power of Graphics

4/14

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)

5/14

Experiment

6/14

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

7/14

Digital Scenes - VR

8/14

Augmented reality and 3D (summer 2009)

9/14

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

10/14

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

11/14

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/

12/14

13/14

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

14/14

15/14

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

16/14

GeoVisualization in GRS-60312

overview and some practice

~ 40 hours [ 4 lectures, 2 url/literature + assignments ]

website

17/14

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

18/14

Course activities

19/14

How to present my geo data ?

Visualizationdefinitions

Map makingCartographic process / 12 steps Visual triggersTheory of Bertin

Mapsby functionby type

Geo-information process

20/14

What a disaster !!

21/14

Final result

PPT + AVI + KML / VRML files Per group (2 persons )Hand in (by Sendit to ron.vanlammeren@wur.nl ) Monday May 16th at 5 pm

22/14

• 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

23/14

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’ !!!

24/14

Imagineyourvisualization

© Wageningen UR 2010-2011|rvl

25/14

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“