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EcoLens and TreePlus: Tools for exploring ecological interaction data Cynthia Sims Parr Bongshin Lee, Ben Bederson University of Maryland, College Park

EcoLens and TreePlus: Tools for exploring ecological interaction data

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EcoLens and TreePlus: Tools for exploring ecological interaction data. Cynthia Sims Parr Bongshin Lee, Ben Bederson University of Maryland, College Park. Ecological interaction webs. From http://www.geog.ouc.bc.ca/physgeog/contents/9o.html. - PowerPoint PPT Presentation

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Page 1: EcoLens and TreePlus: Tools for exploring ecological interaction data

EcoLens and TreePlus: Tools for exploring ecological interaction data

Cynthia Sims Parr

Bongshin Lee, Ben BedersonUniversity of Maryland, College Park

Page 2: EcoLens and TreePlus: Tools for exploring ecological interaction data

Ecological interaction webs

From http://www.geog.ouc.bc.ca/physgeog/contents/9o.html

Page 3: EcoLens and TreePlus: Tools for exploring ecological interaction data

Ultimate problem: Computational approach to ecological interaction analysis

Database

Interaction Web

Database

ADWattributes

Graph vis tools

Algorithms

Test predictions

Predictions

Explore forpatterns

PhylogeniesClassifications

Page 4: EcoLens and TreePlus: Tools for exploring ecological interaction data

Food web visualizationWilliams, Martinez, Dunne, et al.

Page 5: EcoLens and TreePlus: Tools for exploring ecological interaction data

Web, network, or “graph” representations

Node-link graphs Matrix List of connected pairs Trees with cross-links Coupled lists

Page 6: EcoLens and TreePlus: Tools for exploring ecological interaction data

TaxonTree

Page 7: EcoLens and TreePlus: Tools for exploring ecological interaction data

Data sources

Source # webs # interactors # links

Webs on the Web 17 1537 6328

Interaction Web DB 26 2177 9882

EcoWEB 213 4064 6363

Animal Diversity Web 1 1012 2869

Total 257 8,790 25,442

Page 8: EcoLens and TreePlus: Tools for exploring ecological interaction data

Interface Goals

Provide enough overview that users can decide where they want to explore

Bring large datasets down to human scales Support systematic exploration

dataset selection and comparison discovery of potentially interesting patterns data cleaning

Provide environment for examining modeling results

Page 9: EcoLens and TreePlus: Tools for exploring ecological interaction data

EcoLens and TreePlus

Demo

Page 10: EcoLens and TreePlus: Tools for exploring ecological interaction data

Goal Solution

Provide enough overview that users can decide where they want to explore

Bring large datasets down to human scales

Support systematic exploration

EcoLens

Overview first, zoom and filter, details on demand”

TreePlus

“Plant a seed and watch it grow”

EcoLens coupled lists

TreePlus aligned, readable trees

Page 11: EcoLens and TreePlus: Tools for exploring ecological interaction data

Next steps

Evaluate with food web researchers Visualize attributes of nodes and links Test against other graph viz alternatives Integrate with robust input and output tools Incorporate statistical computational tools

Page 12: EcoLens and TreePlus: Tools for exploring ecological interaction data

Broader implications

Generalizable framework for highly interconnected data: NetLens and TreePlus

Expanding the scale of web analysis among ecologists

Page 13: EcoLens and TreePlus: Tools for exploring ecological interaction data

Acknowledgements

Sarah Hankerson, Paula Rodgers, Bill Fagan and other members of the Ecological Informatics class

NSF ITR/IDM Microsoft Booze Allen Hamilton

http://www.cs.umd.edu/hcil/biodiversity