Transcript downloads - Oregon State University

GNNViz:
Immersive and collaborative
visualization for landscapes
Matt Gregory1, Janet Ohmann2
and Tim Holt1
1Department
of Forest Science, Oregon State University
2PNW Research Station, USFS
Project Impetus
 Users want to better understand complex spatial datasets for large
landscapes, plus interact with others using the same datasets
 Tool to aid communication among researchers, land managers, the
public, and other “stakeholders”
 DRY – don’t repeat yourself
 Existing computer game technology is an effective tool from which to
develop visualization tools for complex spatial datasets
Technical Specifications
 Free and open source gaming engine (Delta3D) with multiplayer
capability
 Based on Gradient Nearest Neighbor (GNN) predictive vegetation
model
 every pixel contains a stand of trees that can be rendered
 Content shown based on XML file (can be extended to other
landscape data)
 Closely tied to GIS data formats – easy import of spatial data
Future Enhancements
 Couple with other models (e.g. climate), for dynamic viewing of
alternative futures
 Improve communication tools in the game
 Display spatial uncertainty
 Incorporate vector reference data (roads, cities, streams, etc.)
 Create interaction with game objects (‘picking’) to get detailed
information about object attributes
For more information / downloads
 Email


Matt Gregory: [email protected]
Janet Ohmann: [email protected]
 Website

http://www.fsl.orst.edu/lemma/gnnviz/
 GNN Method

http://www.fsl.orst.edu/lemma/method/