GeoVisualization
“Geovisualization integrates approaches from visualization in scientific computing (ViSC), cartography, image analysis, information systems (GISystems) to provide theory, methods, and tools for visual exploration, analysis, synthesis, and presentation of geospatial data” -- International cartographic association commission (2001) Point/line/surface, 3D, spatial-temporal
1 Point: gas stations on Google map
Location information only.
2 Point: geo-temporal data
3 Point: vectors
4 Point: bricks & colors
5 Line: Google map
6 Line: Facebook (dense edges)
7 Line: bundling technique
Population migration:
Airline routes:
8 Region: contours (boundaries only)
9 Region: color (filled regions)
10 Health Data (Disease Distributions)
11 Cartogram: scale and deform regions to reflect the size of the attributes
12 Multi-relationship: line/bubble set
Multiple relationships Avoid re-layout
13 3D Map (2.5 Dimension)
14 3D Map: issues
Realism vs. Abstraction Distraction Occlusion Applications: – Travel guide – City planning/simulation
15 3D Map: occlusion & landmark
16 Spatial-temporal data
Time stamps/labels on 2D map Space-time cube Color curves Attribute changes
17 Time-trajectory (Tornado path)
18 Space-Time Cube
19 Trajectory Wall (C. Tominsk, et al)
20 Color Curves
Using curves in color space to represent time.
21 Using Color Curves to Draw Taxis Trajectories on 2D Maps
22 Attribute changes
Robbery geo-temporal data
23 Attribute changes (Health Data)
24 Interactive Techniques in InfoVis
Select: mark something as interesting Explore: show me something else Reconfigure: show me a different arrangement Encode: show me a different representation Abstract/Elaborate: show me more or less detail Filter: show me something conditionally Connect: show me related items Mouse Selection
Select and show attributes Interactive Exploration of DTI Fibers Visual Clutter: Zoom Excentric Labeling Explore
Show different portion of data or attributes
3D Navigation Reconfigure
Show different orders Show different perspectives by re-ordering data and attributes Examples: – Sorting and re-ordering in TableLens – Changing attributes in Scatter Plots – Changing the order of nodes in adjacency matrix Re-ordering Attributes
Moving columns in TableLens Sorting
Sorting on a specific attribute in TableLens Encoding
Show a different visual representation Examples – Change color coding – Change size – Change direction – Change font – Change shape Many Eyes
Abstract / Elaborate
Show more or less detail Controlling Level of details Details-On-Demand – Providing more details as needed – E.g. from a cluster node to graph in cluster
Filtering
Show data subset satisfying a set of conditions – Filtering by restriction – Dynamic query Filtering by Restriction (baby names) Dynamic query (Music Filtering) Histogram Brushing Connect
Show related items Highlighting connections and relations Examples – Vizster – InfoScope，brushing Brushing
Selecting in one view and highlight in another view VisAxes
47 Typical Interaction Modes
Overview+details Focus+context Multi-view Animation Overview+Details
Simultaneous display of both an overview and detailed view of an information space, each in a distinct presentation space. Scrollbars and Thumbnails
Trading scales for space: e.g. powerpoint slide presentation Lenses: separation in Z-coordinate Focus+Context Interaction
Nonlinear Magnification – Fisheye Views – Focus+Context Focus+Context: Fisheye
Integrating focus and context into a single display where all parts are concurrently visible: the focus is displayed seamlessly within its surrounding context. Fisheye View GraphLens The magic volume lens Nonlinear Magnification Perspective Wall
Integrating detailed and contextual views Using perspective projection to reduce space needs for contextual viewing DataLens Map
60 Muti-View Interaction
Multiple visual representations of the same data Simultaneous highlighting in multiple views during interaction
Chen W, Ding Z, Zhang S, et al. A novel interface for interactive exploration of DTI fibers. TVCG, 2009.