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2767685
Geovisualisation applies design and technology to spatial data for visual exploration, synthesis, analysis and presentation
Description
How geovisualisation utilises design principles and modern technology to give meaning to complex data
Mind Map by
matt.velde
, updated more than 1 year ago
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Created by
matt.velde
almost 9 years ago
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Resource summary
Geovisualisation applies design and technology to spatial data for visual exploration, synthesis, analysis and presentation
SPATIAL DATA
spatial data models
Raster
Vector
Abstract representations of the real world
INFORMATION TECHNOLOGY
DESIGN
Graphic variables
Visual
Sound
Animation
Tactile (Haptic)
Variables to support understanding of spatial data (Bertin, 83; DiBiase, 92; MacEachren 95)
Cartographic interaction objectives
Identify
Compare
Rank
Delineate
Associate
User objectives to explore, analyse, and synthesise spatial data (Roth, 2012)
Human visual system
Depth
Pattern
User experience
Technical skill
Humans wired to respond quickly to visual cues
Cognitive science
Proximity
Enclosure
Similarity
Continuity
Generalisation
How users process information
INTERACTIVE VISUAL INTERFACES
Immersion
little or no immersion
Partial immersion
Full immersion
Interactivity
Solitary interrogation
Group presentation
Group analysis and discovery
Ability to manipulate display
Multiple linked displayes
Virtual globes
2D Maps
Graphs
Tables
Static, dynamic, &/or real time
3D Maps
Images
Information intensity
Level of detail
Scale
Interface Interaction tools
Motion
Voice
Gesture
Touch
Spatial/ attributes in space
Relationships
Activities
State
Processes
Patterns/ clusters
Spatio-temporal
Trends
Rate of change
Duration of change
Events/ step change
Cyclic change
enables users to explore, analyse, synthesise and communicate spatial and spatio-temporal patterns, trends and processes
Intelligence of objects
Avatars
MacEachren's four 'I' factors (1996)
Usability
Collaborative, user-centred design
Accuracy/ Legitimacy
Comprehension
Efficiency
User satisfaction/ attractiveness
transforms spatial data into appropriate representations to effectively convey information
Processing power
Combine visualisation with computationally intense data analysis
Software
GIS desktop
GIS web/ mobile
Exploratory data analysis
Visual programming languages
Geovisualisation
Computer graphics
Rapidly render spatial data, including 3D objects
Internet
Web servers
Supports geocollaboration
Growing data accessibility
3D graphics for web via VRML, KML, X3D
Hardware
Spatial database structure
enables spatial data to be stored, processed and rendered for visual display
Attribute data models
Network
Relational
Object-oriented
Hierarchical
Tabular
Store attribute information linked to spatial data
Data sources
GPS survey
remotely sensed (satellite/aerial imagery)
Terrestrial sensors
Administrative/political
Volunteered Geographic Information
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