This workshop will build on techniques introduced in Introduction to R for Aquatic Research to demonstrate a couple of in-depth applications. We will explore more advanced data management techniques, some common statistical tools, plotting, and spatial data through hands-on examples using aquatic plant data from point-intercept surveys. Those less familiar with R should attend the Introduction to R for Aquatic Research, but those who have some experience using R should be able to work through the examples without attending the former.
Presenters Anna Haws is the Aquatic Invasive Species Research Specialist with the NYS Water Resources Institute at Cornell University. She holds a PhD in Fish and Wildlife Biology and Management from the SUNY College of Environmental Science and Forestry. Anna often uses R for data visualization and analysis in her work on invasive species, some examples include fisheries life history analysis, wildlife disease modelling, and summarizing big data associated with New York’s Watercraft Inspection Steward Program. Dan Stich is an Associate Professor and Biological Field Station Researcher at SUNY Oneonta, where he teaches undergraduate and graduate courses in biometry, lake management, and ichthyology. He works extensively with R in research and teaching, and maintains multiple R packages as well as his very own, poorly written, unpublished OER textbook, The Worst Stats Text eveR.
Anna Haws is the Aquatic Invasive Species Research Specialist with the NYS Water Resources Institute at Cornell University. She holds a PhD in Fish and Wildlife Biology and Management from the SUNY College of Environmental Science and Forestry. Anna often uses R for data visualization and analysis in her work on invasive species, some examples include fisheries life history analysis, wildlife disease modelling, and summarizing big data associated with New York’s Watercraft Inspection Steward Program.
Dan Stich is an Associate Professor and Biological Field Station Researcher at SUNY Oneonta, where he teaches undergraduate and graduate courses in biometry, lake management, and ichthyology. He works extensively with R in research and teaching, and maintains multiple R packages as well as his very own, poorly written, unpublished OER textbook, The Worst Stats Text eveR.