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

• Through hands-on practice with real-world datasets, leverage Isatis.py’s variographical analysis and kriging tools to deliver results and graphics efficiently. First, 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 that are easy to interpret.
• Enhance your geostatistical expertise and practical skills.

You will cover the following topics:

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

• Hands-on software training: Engage in computer-based exercises using Isatis.py, reinforcing learning through real-world data scenarios.
• Personalized feedback: Receive individualized guidance and feedback from experienced trainers during online sessions to support your learning journey.
• Comprehensive resources: Access detailed course materials, including documentation, Python script files, and datasets, to reinforce learning and facilitate application post-training.

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

• Module 1: Introduction to Python
  3 hours
  Get acquainted with Python and explore how Isatis.py is connected to this programming language.
• Module 2: Exploratory Data Analysis
  3 hours
  Master Exploratory Data Analysis (EDA) to effectively explore data using Isatis.py.
• Module 4: Continuous simulations
  3 hours
  Master simulations and uncertainty quantification using Isatis.py.
• Module 5: Multivariate estimation
  3 hours
  Master multivariate estimation using Isatis.py.
• Module 6: Indicators estimation and simulations
  3 hours
  Master estimation and simulation of indicators and categorical variables using Isatis.py.

Designed for geologists, geoscientists, and data scientists seeking to develop their skills in creating customized, flexible, and efficient geostatistical workflows based on Python scripts and the Isatis.py library.

Prior experience with Python scripting is required. The first module of this series, “Introduction to Python,” provides the necessary skills and knowledge. A solid background in practical geostatistics is also recommended.