Title :
Visualization of alternative future scenarios for forest ecosystems using animated statistical surfaces
Author :
Jenny, Helen ; Liem, Johannes ; Lucash, Melissa S. ; Scheller, Robert M.
Author_Institution :
Coll. of Earth, Ocean, & Atmos. Sci., Oregon State Univ., Corvallis, OR, USA
Abstract :
Rising uncertainties associated with climate change make it important to include forest ecosystem simulations into forest management planning. The output of such models can be visualized in two-dimensional time-series animation, which is often too complex to provide a spatio-temporal overview. This contribution describes a novel method, called animated three-dimensional statistical surfaces, that aims at improving the perception of change in animated time-series. The method visualizes attribute values as surfaces, which are interpolated and animated over time; the attribute surfaces are combined with color-coding and contour lines to support absolute and relative height judgment as well as faster perception and better location of change. A design study and prototypical implementation of the visualization method is described in this contribution. The method is not limited to ecological model output; it can be used to create three-dimensional animations of arbitrary time-series where parameters are supplied in regular raster format.
Keywords :
computer animation; data visualisation; ecology; geographic information systems; interpolation; statistical analysis; time series; absolute height judgment; animated three-dimensional statistical surfaces; attribute surfaces; attribute value visualization; climate change; color-coding; contour lines; ecological model output; forest ecosystem simulations; forest management planning; interpolation; raster format; relative height judgment; spatio-temporal overview; two-dimensional time-series animation; Animation; Biological system modeling; Data visualization; Ecosystems; Prototypes; Three-dimensional displays; Visualization; 3D visualization; GIScience; LANDIS-II; animated maps; forest ecosystems; geo-visual analytics;
Conference_Titel :
Agro-Geoinformatics (Agro-Geoinformatics), 2013 Second International Conference on
Conference_Location :
Fairfax, VA
DOI :
10.1109/Argo-Geoinformatics.2013.6621974