Interactive 3D visualization of highly connected ecological networks on the WWW

Ilmi Yoon, Sanghyuk Yoon, Neo D Martinez, Rich Williams, Jennifer Dunne

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

6 Citations (Scopus)

Abstract

Food webs describe who eats whom among species within a habitat. These networks depict interlinked food chains and have long been a central ecological paradigm for studying biocomplexity. As food-web data encompasses more species, the network structure of the feeding links among those species results in a highly connected network that is difficult to visualize in 2D. Such simple representations often obscure important details critical for understanding the structure and function of ecosystems. Graph layout is thus critically important for enhanced understanding of complex food webs. In this paper, we describe 3D visualizations of food webs that use intuitive node placement, minimal edge-crossing and link length, hierarchical node aggregation, and analysis tool integration. We also describe our deployment of "Webs on the Web" (WoW) visualization and analysis tools on the WWW. These tools will facilitate food-web research, collaboration, and education. Given the variety of 3D visualization technologies on the WWW, our WoW visualization pipeline supports diverse formats and adapts to users' preferences by employing XML and a flexible architecture. Currently, WoW uses XML to semantically markup food-web data (FoodWebML), extracts visual information into X3D format, and then uses the information to create a direct display on VRML/X3D browsers or feed a Shockwave 3D visualization.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM Symposium on Applied Computing
Pages1207-1212
Number of pages6
Volume2
DOIs
StatePublished - 2005
Externally publishedYes
Event20th Annual ACM Symposium on Applied Computing - Santa Fe, NM, United States
Duration: Mar 13 2005Mar 17 2005

Other

Other20th Annual ACM Symposium on Applied Computing
CountryUnited States
CitySanta Fe, NM
Period3/13/053/17/05

Fingerprint

World Wide Web
Visualization
XML
Ecosystems
Agglomeration
Pipelines
Education
Display devices

Keywords

  • Graph Layout
  • High Connectivity
  • Network Visualization

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Yoon, I., Yoon, S., Martinez, N. D., Williams, R., & Dunne, J. (2005). Interactive 3D visualization of highly connected ecological networks on the WWW. In Proceedings of the ACM Symposium on Applied Computing (Vol. 2, pp. 1207-1212) https://doi.org/10.1145/1066677.1066950

Interactive 3D visualization of highly connected ecological networks on the WWW. / Yoon, Ilmi; Yoon, Sanghyuk; Martinez, Neo D; Williams, Rich; Dunne, Jennifer.

Proceedings of the ACM Symposium on Applied Computing. Vol. 2 2005. p. 1207-1212.

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

Yoon, I, Yoon, S, Martinez, ND, Williams, R & Dunne, J 2005, Interactive 3D visualization of highly connected ecological networks on the WWW. in Proceedings of the ACM Symposium on Applied Computing. vol. 2, pp. 1207-1212, 20th Annual ACM Symposium on Applied Computing, Santa Fe, NM, United States, 3/13/05. https://doi.org/10.1145/1066677.1066950
Yoon I, Yoon S, Martinez ND, Williams R, Dunne J. Interactive 3D visualization of highly connected ecological networks on the WWW. In Proceedings of the ACM Symposium on Applied Computing. Vol. 2. 2005. p. 1207-1212 https://doi.org/10.1145/1066677.1066950
Yoon, Ilmi ; Yoon, Sanghyuk ; Martinez, Neo D ; Williams, Rich ; Dunne, Jennifer. / Interactive 3D visualization of highly connected ecological networks on the WWW. Proceedings of the ACM Symposium on Applied Computing. Vol. 2 2005. pp. 1207-1212
@inproceedings{be7a28755f3944b19477d614ace578b5,
title = "Interactive 3D visualization of highly connected ecological networks on the WWW",
abstract = "Food webs describe who eats whom among species within a habitat. These networks depict interlinked food chains and have long been a central ecological paradigm for studying biocomplexity. As food-web data encompasses more species, the network structure of the feeding links among those species results in a highly connected network that is difficult to visualize in 2D. Such simple representations often obscure important details critical for understanding the structure and function of ecosystems. Graph layout is thus critically important for enhanced understanding of complex food webs. In this paper, we describe 3D visualizations of food webs that use intuitive node placement, minimal edge-crossing and link length, hierarchical node aggregation, and analysis tool integration. We also describe our deployment of {"}Webs on the Web{"} (WoW) visualization and analysis tools on the WWW. These tools will facilitate food-web research, collaboration, and education. Given the variety of 3D visualization technologies on the WWW, our WoW visualization pipeline supports diverse formats and adapts to users' preferences by employing XML and a flexible architecture. Currently, WoW uses XML to semantically markup food-web data (FoodWebML), extracts visual information into X3D format, and then uses the information to create a direct display on VRML/X3D browsers or feed a Shockwave 3D visualization.",
keywords = "Graph Layout, High Connectivity, Network Visualization",
author = "Ilmi Yoon and Sanghyuk Yoon and Martinez, {Neo D} and Rich Williams and Jennifer Dunne",
year = "2005",
doi = "10.1145/1066677.1066950",
language = "English (US)",
volume = "2",
pages = "1207--1212",
booktitle = "Proceedings of the ACM Symposium on Applied Computing",

}

TY - GEN

T1 - Interactive 3D visualization of highly connected ecological networks on the WWW

AU - Yoon, Ilmi

AU - Yoon, Sanghyuk

AU - Martinez, Neo D

AU - Williams, Rich

AU - Dunne, Jennifer

PY - 2005

Y1 - 2005

N2 - Food webs describe who eats whom among species within a habitat. These networks depict interlinked food chains and have long been a central ecological paradigm for studying biocomplexity. As food-web data encompasses more species, the network structure of the feeding links among those species results in a highly connected network that is difficult to visualize in 2D. Such simple representations often obscure important details critical for understanding the structure and function of ecosystems. Graph layout is thus critically important for enhanced understanding of complex food webs. In this paper, we describe 3D visualizations of food webs that use intuitive node placement, minimal edge-crossing and link length, hierarchical node aggregation, and analysis tool integration. We also describe our deployment of "Webs on the Web" (WoW) visualization and analysis tools on the WWW. These tools will facilitate food-web research, collaboration, and education. Given the variety of 3D visualization technologies on the WWW, our WoW visualization pipeline supports diverse formats and adapts to users' preferences by employing XML and a flexible architecture. Currently, WoW uses XML to semantically markup food-web data (FoodWebML), extracts visual information into X3D format, and then uses the information to create a direct display on VRML/X3D browsers or feed a Shockwave 3D visualization.

AB - Food webs describe who eats whom among species within a habitat. These networks depict interlinked food chains and have long been a central ecological paradigm for studying biocomplexity. As food-web data encompasses more species, the network structure of the feeding links among those species results in a highly connected network that is difficult to visualize in 2D. Such simple representations often obscure important details critical for understanding the structure and function of ecosystems. Graph layout is thus critically important for enhanced understanding of complex food webs. In this paper, we describe 3D visualizations of food webs that use intuitive node placement, minimal edge-crossing and link length, hierarchical node aggregation, and analysis tool integration. We also describe our deployment of "Webs on the Web" (WoW) visualization and analysis tools on the WWW. These tools will facilitate food-web research, collaboration, and education. Given the variety of 3D visualization technologies on the WWW, our WoW visualization pipeline supports diverse formats and adapts to users' preferences by employing XML and a flexible architecture. Currently, WoW uses XML to semantically markup food-web data (FoodWebML), extracts visual information into X3D format, and then uses the information to create a direct display on VRML/X3D browsers or feed a Shockwave 3D visualization.

KW - Graph Layout

KW - High Connectivity

KW - Network Visualization

UR - http://www.scopus.com/inward/record.url?scp=33644531261&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33644531261&partnerID=8YFLogxK

U2 - 10.1145/1066677.1066950

DO - 10.1145/1066677.1066950

M3 - Conference contribution

VL - 2

SP - 1207

EP - 1212

BT - Proceedings of the ACM Symposium on Applied Computing

ER -