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EEB 713, Fall 2013: Methods in spatial and environmental biodiversity analysis
Instructors: Walter Jetz, Adam M. Wilson, Giuseppe Amatulli, Petr Keil
Schedule: At Yale University, Department of Ecology & Evolutionary Biology. The course will meet weekly for 2-3 hours. Time and day TBD

Over the past few decades there has been an explosion of available data for environmental and biodiversity research. This ‘big data’ now allows us to address a number of old and new important questions with unprecedented rigor and generality. Leveraging these new data streams requires new tools and increasingly complex workflows.

The course will provide an overview of methods for addressing the challenges of working in a Linux Environment, including command line and scripting routines using open source software. Students will also learn about multi-core computation on a local computer as well cluster computation via remote servers. Scripting knowledge will be developed step by step during the course, emphasising the concatenation process of the different software. The course will have three sections: 1) Methods and tools (Linux; command line scripting; GRASS; advanced R for spatial/environmental data) 2) Example “big” datasets (environmental, remote sensing, biodiversity) 3) Example questions, data integration and modelling (data-model dichotomy, Bayesian approaches, addressing uncertainty). At the end of the semester participants will have a basic knowledge of the variety of open source tools that are available for Geographic Information System (GIS), Remote Sensing (RS), and spatial analysis and modelling. They will have worked through case studies from forestry, species distribution modelling, biodiversity, conservation, and remote sensing image processing.


wikistud/yale2013.txt · Last modified: 2017/12/05 22:53 (external edit)