Spatial Statistics Course using Julia




About the course

This course is part of the undergraduate and doctorate program in Statistical Engineering at National University of Engineering. We cover the three branches of Spatial Statistics using Julia with a strong focus on spatial stochastic processes such as Gaussian processes, Gaussian Markov random fields, and Poisson point processes.

Lessons

  1. Introduction to stochastic processes
  2. Spatial statistics
  3. Spatial continuous variation
  4. Spatial point processes
  5. Spatial discrete variation

Labs

Project

Resources

Previous classes