Upload
others
View
2
Download
0
Embed Size (px)
Citation preview
CGI-GIRS ©0910
Geo-Visualization
2/56
3/56
Theory ‘Semiologie Graphique’
http://www.flickr.com/photos/kbean/491051226/
4/56
How to present my geo data ?
Visualizationdefinitions
Map makingCartographic process / 12 steps Visual triggersTheory of Bertin
Mapsby functionby type
Geo-information process
5/56
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)
6/56
Types of Visualization
Computer modelDigital mapRadar
AnimationMovie / videoComputer perspective
Dynamic
DiagramsMapsSketches
PhotoPhoto manipulationPerspective drawing
Static
Conceptual(abstract)
Perceptual(realistic)
Characteristics of landscape visualization; Zube 1987
Focus on Map Making - Cartography
7/56
Visualize for thinking and communication
exploring
confronting
synthesizing
presenting
Individual use General public
Visual thinking Visual communication
From: DiBiase, 1998
8/56
Generalization
the process of selecting and representing information of a map in a way that adapts to the scale of the display medium of the map. is meant to be context-specific
9/56
10/56
Visualization . . . from the real world to a mapWorld
Geo visualization
DWM DVMdigital model
11/56
Digital World Model (DWM)
Content of DWM and DVM
/rgb2cmyk{3{1 exch sub 3 1 roll}repeat 3 copy @MN @MN 3{dup 5 -1 roll sub negexch}repeat}bd/rgb2g{2 index .299 mul 2 index .587 mul add 1 index .114 mul add4 1 roll pop pop pop}bd/WaldoColor_5 where{pop}{/SetRgb/setrgbcolor ld/GetRgb/currentrgbcolor ld/SetGry/setgray ld/GetGry/currentgray ld/SetRgb2 systemdict/setrgbcolor get def/GetRgb2 systemdict/currentrgbcolor get def/SetHsbsystemdict/sethsbcolor get def/GetHsb systemdict/currenthsbcolor get def/rgb2hsb{SetRgb2 GetHsb}bd/hsb2rgb{3 -1 roll dup floor sub 3 1 roll SetHsbGetRgb2}bd/setcmykcolor where{pop/SetCmyk_5/setcmykcolor ld}{/SetCmyk_5{
Digital Visualization Model (DVM)
12/56
Example: Disaster Map
1-10 victims
10 victims
50 victims
flooded land
dike break through
13/56
Map making: map components
Question:
What are the components of a map?
14/56
Map making: cartographic process / 12 steps 1. Objective|Context 2. Stakeholder 3. Title 4. Legend components 5. Hierarchy 6. Measurement scale 7. Number of classes 8. Graphic symbols 9. Graphic attributes 10. North arrow 11. Map scale 12. Data source
15/56
Lay out
16/56
http://mappery.com/fullsize-name/Livingston-Island-Ice-Cover-Map
17/56
Propaganda
18/56
main roads
Roads
> 10
6 - 10
< 5
Number of water samples taken
bad
normal
good
Water quality
LEGEND:
Map making: legend (steps 4 – 7)
• Components = Variables
• Hierarchy
• Measurement scale
• Classes
19/56
Measurement scale
Table: Provinces of the Netherlands
•2 attributes
•Province_ name
•Area (km2)
20/56
Measurement scale
difference order unit fixed zero Qualitative data
Nominal
Ordinal
Quantitative data Interval
Ratio
characteristics
21/56
Measurement scale: Exercise
Number of WU students
Water quality (bad/average/good)
Main landuse
Average income(high, medium, low)
Average income (Euro)
Average temp ( C)
Area (ha)
Name province
Attributes table ‘Provinces’
Measurement scale ??
Number of WU students
Water quality (bad/average/good)
Main landuse
Average income(high, medium, low)
Average income (Euro)
Average temp ( C)
Area (ha)
Name province
Attributes table ‘Provinces’
ratio
ordinal
nominal
ordinal
ratio
interval
ratio
nominal
Measurement scale
Number of WU students
Water quality (bad/average/good)
Main landuse
Average income(high, medium, low)
Average income (Euro)
Average temp ( C)
Area (ha)
Name province
Attributes table ‘Provinces’
22/56
Map making: graphic symbols & attributes (steps 7 – 8)• size
• grey scale (color value)saturation (color chroma)
• grain / texture
• color (color hue)
• direction
• shape
23/56
Map making: graphic symbols & attributes
24/56
Laws of perception
Color contrastVisual HierarchyTransparencyInterposition
WHO’S AFRAID
25/56
Visual hierarchyExample: Number of people per Province in the Netherlands
26/56
Colour
Light rays Ink particlesRGB CMYK
27/56
Colour
Hue
Value (grey) / lightness
Chroma / saturation
28/56
Example: use of graphic symbols
29/56
Who’s afraid of…..
30/56
Reinforcement of graphic variables
Netherlands v Austria 2008: Analysis of Klaas Jan Huntelaar
31/56
Ishihara test
32/56
Bertin’s theory
Graphic attribute
Measurement scale
33/56
Visual hierarchy - 2
34/56
Maximum differences per graphic attribute
---shape
-24direction
877color hue
542grain/texture
543color value
544size
polygonlinepointgraphicattribute
35/56
Rule of thumb
Qualitative data: use HUE
Quantitative data: use CHROMA / VALUEhttp://www.worqx.com/color/itten.htm
36/56
ArcMap’s symbology editor
37/56
Bertin’s theory: ExerciseGraphic attribute
ratio
ordinal
nominal
ordinal
ratio
interval
ratio
nominal
Measurement scale
Number of WU students
Water quality (bad/average/good)
Main land use
Average income(high, medium, low)
Average income (Euro)
Average temp ( C)
Area (ha)
Name province
Attributes table ‘Provinces’
38/56
Example: 1953
39/56
Example: 1998
40/56
Example: compared
41/56
Maps by function: general reference
WAGENINGEN
EDEVEENENDAAL
RHENEN
KESTEREN
ZETTENTopographic map1: 50.000
42/56
Maps by function: thematic
WAGENINGEN
EDEVEENENDAAL
RHENEN
KESTEREN
ZETTENSoil map1: 50.000
43/56
Map types 1
Chorochromatic
• qualitative data
• difference by means of color hue
44/56
Map types 2
Choropleth
• derived quantitative data
• on determined administrative units
• by color value (graduated color scheme)
45/56
Map types 3
Dot
• quantitative data
• by uniform point symbols
• mostly one to many
Location of pigs in the Netherlands
= 10.000 pigs
Scale: 1 : 300.000Ministry of Agriculture, Fisheries and Food, 1996.
46/56
Map types 4
histogram
• quantitative data
• by uniform bar symbols
• mostly one to many
Ministry of Agriculture, Fisheries and Food, 1996.
47/56
Map types 5
Figurative map
• representing of qualitative (and quantitative) data
• by symbols
http://www.efteling.nl/static/flash/loadMap_winter_en.html
Escape route or running track ?
Long distance path
or steep mountain track ?
Short walk ways with direction?
48/56
Maptype 6: Isolines
49/56
Flow map
50/56
Cartogram
51/56
Cartogram
http://www.livius.org/pen-pg/peutinger/map.html
http://places.designobserver.com/entry.html?entry=11287
52/56
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
53/56
Digital Scenes - VR
54/56
Augmented reality and 3D (summer 2009)
55/56
Geo Visualization
Landscape Visualisation
Visual analytics
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
56/56
Summary
12 steps to create a map
Map types• general reference, thematic
• choropleth, chorochromatic, dot, cartogram
Theory of Bertin
Graphic symbols
Graphic variables
Use of Colour
Map design : visual triggers
Study materials:
© Wageningen UR
Theory Chang, 2006/2008/2010
Chapter 10: ‘Data display and cartography’ (not 10.1.2 / 10.5)
Chapter 9: (not 9.1.2/9.5)
Chapter 11: ‘Data exploration (11.5)
Chapter 10: (10.2)
Practical: GRS-10306 practical manual, 2006Module 4: ‘Map presentation’
Have a look at: http://nl.wikibooks.org/wiki/Geo-visualisatie