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EcoLens and TreePlus: Tools for exploring ecological interaction data

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.

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EcoLens and TreePlus: Tools for exploring ecological interaction data

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

  2. Ecological interaction webs From http://www.geog.ouc.bc.ca/physgeog/contents/9o.html

  3. Ultimate problem: Computational approach to ecological interaction analysis Interaction Web Database Algorithms Explore for patterns ADW attributes Predictions Database Graph vis tools Test predictions Phylogenies Classifications

  4. Food web visualizationWilliams, Martinez, Dunne, et al.

  5. Web, network, or “graph” representations • Node-link graphs • Matrix • List of connected pairs • Trees with cross-links • Coupled lists

  6. TaxonTree

  7. Data sources

  8. 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

  9. EcoLens and TreePlus Demo

  10. 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” EcoLenscoupled lists TreePlusaligned, readable trees

  11. 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

  12. Broader implications • Generalizable framework for highly interconnected data: NetLens and TreePlus • Expanding the scale of web analysis among ecologists

  13. 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

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