Visualizing ecological data in virtual reality

Jiawei Huang, Melissa S. Lucash, Robert M. Scheller, Alexander Klippel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

19 Scopus citations

Abstract

Visualizing complex scientific data and models in 2D can be challenging. The result can be hard to interpret and understand for the general audience, and the model accuracy hard to evaluate even for the experts. To address these problems, we created a workflow that translates data of an ecological model, LANDIS-II, into a high-fidelity 3D model in virtual reality (VR). We combined ecological modeling, analytical modeling, procedural modeling, and VR, to allow users to experience a forest in northern Wisconsin (WI), United States, under two climate scenarios. Users can explore and interact with the forest under different climate scenarios, explore the impacts of climate change on different tree species, and retrieve information from a 3D tree database. The VR application can be used as an educational tool for the general public, and as a model checking tool by researchers.

Original languageEnglish (US)
Title of host publication26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1311-1312
Number of pages2
ISBN (Electronic)9781728113777
DOIs
StatePublished - Mar 2019
Event26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Osaka, Japan
Duration: Mar 23 2019Mar 27 2019

Publication series

Name26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings

Conference

Conference26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
Country/TerritoryJapan
CityOsaka
Period3/23/193/27/19

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Media Technology

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