Geovisualisation applies design and technology to spatial data for visual exploration, synthesis, analysis and presentation

SPATIAL DATA
1. spatial data models
  1. Raster
  2. Vector
  3. Abstract representations of the real world
2. INFORMATION TECHNOLOGY
  1. DESIGN
    1. Graphic variables
      1. Visual
      2. Sound
      3. Animation
      4. Tactile (Haptic)
      5. Variables to support understanding of spatial data (Bertin, 83; DiBiase, 92; MacEachren 95)
    2. Cartographic interaction objectives
      1. Identify
      2. Compare
      3. Rank
      4. Delineate
      5. Associate
      6. User objectives to explore, analyse, and synthesise spatial data (Roth, 2012)
    3. Human visual system
      1. Depth
      2. Pattern
      3. User experience
      4. Technical skill
      5. Humans wired to respond quickly to visual cues
    4. Cognitive science
      1. Proximity
      2. Enclosure
      3. Similarity
      4. Continuity
      5. Generalisation
      6. How users process information
    5. INTERACTIVE VISUAL INTERFACES
      1. Immersion
        little or no immersion
        Partial immersion
        Full immersion
      2. Interactivity
        Solitary interrogation
        Group presentation
        Group analysis and discovery
        Ability to manipulate display
      3. Multiple linked displayes
        Virtual globes
        2D Maps
        Graphs
        Tables
        Static, dynamic, &/or real time
        3D Maps
        Images
      4. Information intensity
        Level of detail
        Scale
      5. Interface Interaction tools
        Motion
        Voice
        Gesture
        Touch
      6. Spatial/ attributes in space
        Relationships
        Activities
        State
        Processes
        Patterns/ clusters
      7. Spatio-temporal
        Trends
        Rate of change
        Duration of change
        Events/ step change
        Cyclic change
      8. enables users to explore, analyse, synthesise and communicate spatial and spatio-temporal patterns, trends and processes
      9. Intelligence of objects
        Avatars
      10. MacEachren's four 'I' factors (1996)
    6. Usability
      1. Collaborative, user-centred design
      2. Accuracy/ Legitimacy
      3. Comprehension
      4. Efficiency
      5. User satisfaction/ attractiveness
    7. transforms spatial data into appropriate representations to effectively convey information
  2. Processing power
    1. Combine visualisation with computationally intense data analysis
  3. Software
    1. GIS desktop
    2. GIS web/ mobile
    3. Exploratory data analysis
    4. Visual programming languages
    5. Geovisualisation
  4. Computer graphics
    1. Rapidly render spatial data, including 3D objects
  5. Internet
    1. Web servers
    2. Supports geocollaboration
    3. Growing data accessibility
    4. 3D graphics for web via VRML, KML, X3D
  6. Hardware
    1. Spatial database structure
  7. enables spatial data to be stored, processed and rendered for visual display
3. Attribute data models
  1. Network
  2. Relational
  3. Object-oriented
  4. Hierarchical
  5. Tabular
  6. Store attribute information linked to spatial data
4. Data sources
  1. GPS survey
  2. remotely sensed (satellite/aerial imagery)
  3. Terrestrial sensors
  4. Administrative/political
  5. Volunteered Geographic Information

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Geovisualisation applies design and technology to spatial data for visual exploration, synthesis, analysis and presentation

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	Erstellt von matt.velde vor fast 9 Jahre