Training
Isatis.py training – Module 5: Multivariate estimation
Where this module sits
The Isatis.py course is delivered in six 3-hour modules that you can take separately or in sequence:
– Module 1: Introduction to Python. Get acquainted with Python and explore how Isatis.py is connected to this programming language.
– Module 2: Exploratory Data Analysis. Master Exploratory Data Analysis (EDA) to effectively explore data using Isatis.py.
– Module 3: Kriging. Master kriging using Isatis.py.
– Module 4: Continuous simulations. Master simulations and uncertainty quantification using Isatis.py.
– Module 5: Multivariate estimation. Master multivariate estimation using Isatis.py.
– Module 6: Indicators estimation and simulations. Master estimation and simulation of indicators and categorical variables using Isatis.py.
Objectives
Multivariate production workflows must coordinate estimation, transformation, missing-data handling, and simulation while preserving relationships among variables. You will build Isatis.py scripts for ordinary and rescaled cokriging, the Projection Pursuit Multivariate Transform, multivariate data imputation, and simulations. The exercises use a mineral deposit dataset with heterotopic variables and include output relationship checks.
Target audience
Company developers, geoscientists, and data scientists with Python scripting experience and a recommended practical geostatistics background who implement multivariate workflows with Isatis.py.
Content
Configure multivariate inputs and estimators
– Configure and run ordinary cokriging and rescaled cokriging through Isatis.py.
– Implement the workflow for heterotopic datasets in which variables are not sampled at all the same locations.
Script transformation and imputation
– Integrate the Projection Pursuit Multivariate Transform (PPMT) into the pipeline.
– Configure multivariate data imputation where values are missing.
Generate and check multivariate outputs
– Run multivariate simulations in Isatis.py.
– Check whether the resulting outputs reproduce complex relationships among variables.
– Organize the hands-on mineral deposit workflow as clear Python scripts.
What the course includes
- Hands-on software training. Computer exercises in Isatis.py, using real datasets.
- Personalized feedback. Individual guidance from experienced trainers throughout the online sessions.
- Ready-to-reuse resources. A temporary software license, course documentation, journal files, and datasets to keep and use after the course.
- Certificate of completion. Issued at the end of the session.
Prerequisites
Python scripting experience is required. If needed, start with Module 1, Introduction to Python. Practical geostatistics knowledge is also recommended, as this course focuses on implementing workflows rather than teaching the methods.
Register, or ask us first
This form handles all three: registration, a quote for yourself or your team, and questions about the content or the prerequisites.
Address
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