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Published byBridget Rice Modified over 9 years ago
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Lifemapper II: Finding the Good Life Aimee Stewart James H. Beach, C.J. Grady, David A. Vieglias Biodiversity Institute, KU
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Introduction Components –Continuously updated database –Computational pipeline –Research tools Goals –Research –Education
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Lifemapper Database Biodiversity Institute MOU with GBIF –Our copy updated ~ once/month New models generated with changed data Multiple algorithms
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Pipeline Initializes experiments Dispatches experiments to 64-node cluster Retrieves cluster output Catalogs results
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Web services Standards based (OGC, REST) Accessible through –Website –APIs Data: Spatial and non-spatial Services: –ENM using openModeller (CRIA) –Coming soon! Landscape Metrics Macroecological Analysis
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CI-Team Foster new research approaches using CI to mediate barriers CI services and tools –Data: IPCC AR4 –Services: Landscape metrics & Dispersal analysis Courtesy of NSF Office of Cyberinfrastructure with UNM, ASU, NAU
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Lifemapper-SAM Multi-species query Create and populate ME grids Statistical analysis Desktop client based on QGIS –Visualizing and comparing results –Dynamicaly deconstruct spatial, temporal, phylogenetic patterns –Submit/catalog multiple experiments Courtesy of NSF Advances in Biological Informatics with UConn
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Next Steps Integrate into existing workflow environments Visualization for grades 7-12 –Link food web models to species niche models –Manipulate inputs and visualize interactions Narrative and provenance generation Courtesy of NSF Discovery Research K-12 Program with Umich & NSF EPSCoR Track II with KSU, OU, OSU
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