Each afternoon is spent learning-by-doing. Short, hands-on tutorials introduce new techniques, and students immediately translate these to practice. Each week you work closely with a group of peers and our course instructors to design, execute, and present a novel research project. Through this work you will both develop technical skills and gain experience with inferential and exploratory research approaches critical to many large-scale and meta-analytical studies.

Laboratory sessions introduce a range of tools and techniques, including:

  • Best practices for data management
  • Identifying, querying, and working with open data
  • GIS and spatial data
  • Scripting and spatial analysis in R
  • Geostatistics
  • Spatial modeling
  • Bayesian methods
  • Machine learning
  • Interdisciplinary teamwork
  • Presentation skills

Although SPATIAL focuses on data use, we also emphasize our dependence on data creation. Lab groups spend a day in the field collecting samples and measure their water isotope ratios with a laser analyzer. Through this we discuss anlaytical technologies, standardization of data and metadata, data archival.

Group in lab



The 2023 SPATIAL Course will be July 31 - Aug 11

Admissions decisions have been announced...see you in July!


The Waterisotopes Database and isoBank are community resources to develop FAIR data repositories for isotope science. Get involved, find and share data!