Visualizing ecological data in virtual reality

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

doi:10.1109/VR.2019.8797771

Visualizing ecological data in virtual reality

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

Geography

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

23 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 language	English (US)
Title of host publication	26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1311-1312
Number of pages	2
ISBN (Electronic)	9781728113777
DOIs	https://doi.org/10.1109/VR.2019.8797771
State	Published - Mar 2019
Event	26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Osaka, Japan Duration: Mar 23 2019 → Mar 27 2019

Publication series

Name	26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings

Conference

Conference	26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019
Country/Territory	Japan
City	Osaka
Period	3/23/19 → 3/27/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Media Technology

Access to Document

10.1109/VR.2019.8797771

Cite this

Huang, J., Lucash, M. S., Scheller, R. M., & Klippel, A. (2019). Visualizing ecological data in virtual reality. In 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings (pp. 1311-1312). Article 8797771 (26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VR.2019.8797771

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title = "Visualizing ecological data in virtual reality",

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.",

author = "Jiawei Huang and Lucash, \{Melissa S.\} and Scheller, \{Robert M.\} and Alexander Klippel",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 ; Conference date: 23-03-2019 Through 27-03-2019",

year = "2019",

month = mar,

doi = "10.1109/VR.2019.8797771",

language = "English (US)",

series = "26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "1311--1312",

booktitle = "26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings",

address = "United States",

}

Huang, J, Lucash, MS, Scheller, RM & Klippel, A 2019, Visualizing ecological data in virtual reality. in 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings., 8797771, 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 1311-1312, 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019, Osaka, Japan, 3/23/19. https://doi.org/10.1109/VR.2019.8797771

Visualizing ecological data in virtual reality. / Huang, Jiawei; Lucash, Melissa S.; Scheller, Robert M. et al.
26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 1311-1312 8797771 (26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Visualizing ecological data in virtual reality

AU - Huang, Jiawei

AU - Lucash, Melissa S.

AU - Scheller, Robert M.

AU - Klippel, Alexander

PY - 2019/3

Y1 - 2019/3

N2 - 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.

AB - 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.

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M3 - Conference contribution

AN - SCOPUS:85071841653

T3 - 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings

SP - 1311

EP - 1312

BT - 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019

Y2 - 23 March 2019 through 27 March 2019

ER -

Huang J, Lucash MS, Scheller RM, Klippel A. Visualizing ecological data in virtual reality. In 26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. p. 1311-1312. 8797771. (26th IEEE Conference on Virtual Reality and 3D User Interfaces, VR 2019 - Proceedings). doi: 10.1109/VR.2019.8797771

Visualizing ecological data in virtual reality

Abstract

Publication series

Conference

UN SDGs

All Science Journal Classification (ASJC) codes

Access to Document

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