Geo

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 data into displayable 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 can be described as a loosely bounded domain

that addresses the visual exploration, analysis, synthesis and presentation of geospatial data

by integrating approaches from

with those from other information representation and analysis disciplines, including scientific visualization, 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

„ 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 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 „ making z Cartographic process / 12 steps z Visual triggers z Theory of Bertin „ 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