Isatis.py training – Module 3: Kriging | Training course

Master the development of Python workflows for the variographical analysis and estimation of continuous variables using our geostatistics library, Isatis.py, and real datasets (pollution and ore grades).

Objectives

  • Use Isatis.py’s variographical analysis and kriging tools on real-world datasets to gain practical experience in effectively delivering results and graphics. First, learn to generate a 2D contamination map from pollution data, then produce a 3D model of an iron deposit while managing domain limits with polygons.
  • Learn Python coding best practices. Create clear, high-quality Python scripts for easy interpretation.
  • Enhance your geostatistical expertise and practical skills.

Module content

  • Analysis of spatial continuity using variograms.
  • Simple kriging
  • Ordinary kriging
  • Estimation validation
  • Selection from polygons

Key features

  • Receive documentation, training datasets, and reusable Python scripts to apply in your workplace.
  • The course is available in French or English, based on participants’ preferences.

Additional modules

The Isatis.py training program comprises a series of 6 modules that can be completed independently:

Who should attend

Designed for geologists, geoscientists, environmental engineers, and professionals looking to develop their skills in creating customized, flexible, and efficient geostatistical workflows based on Python scripts.

Prerequisites

Prior knowledge of scripting with Python is required to enroll.