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ARS Home » Plains Area » Las Cruces, New Mexico » Range Management Research » Research » Publications at this Location » Publication #357564
Title: Harnessing the power of big data in ecology by machine learning

Author
item Peters, Debra

Submitted to: Ecological Informatics
Publication Type: Abstract Only
Publication Acceptance Date: 7/1/2018
Publication Date: 9/24/2018
Citation: Peters, D.C. 2018. Harnessing the power of big data in ecology by machine learning [abstract] 10th International Conference on Ecological Informatics. September 24-28, 2018, Jena, Germany.

Interpretive Summary:

Technical Abstract: My talk will be about a Trans-Disciplinary Data-Model Integration (TDMI) approach that focuses on spatio-temporal modeling and cross-scale interactions, and employs interactive machine learning strategies. Applied to ecological problems, my approach integrates knowledge and data on: (1) biological processes, (2) spatial heterogeneity in the land surface template, and (3) variability in environmental drivers using data and knowledge drawn from multiple lines of evidence (i.e., observations, experimental manipulations, analytical and numerical models, products from imagery, conceptual model reasoning, theory). I will apply this approach to a suite of increasingly complex ecologically-relevant problems, and will show how the framework can be linked with a Data Science Integration System (DSIS) to allow more complex questions to be addressed in the future.