Isatis.py training – Module 5: Multivariate estimation | Training course
Master the development of Python workflows for multivariate estimation and simulation using our geostatistics library, Isatis.py. Learn to reproduce complex multivariate relationships and integrate key insights from heterotopic datasets.
Objectives
- Apply Isatis.py’s multivariate estimation and simulation tools to a real-world mineral deposit dataset to gain practice in evaluation and assessing uncertainty in multivariate datasets.
- Learn how to reproduce efficiently complex multivariate relationships.
- Gain insight into how to handle highly heterotopic datasets and integrate the most useful information into your process.
- Learn Python coding best practices. Create clear, high-quality Python scripts for easy interpretation.
- Enhance your geostatistical expertise and practical skills.
Module content
- Ordinary co-kriging
- Rescaled co-kriging
- Multivariate simulations
- Multivariate data imputation
- Projection Pursuit Multivariate Transform (PPMT)
- Reproducing complex multivariate relationships.
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:
- 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 3: Kriging
3 hours
Master kriging using Isatis.py. - Module 4: Continuous simulations
3 hours
Master simulations and uncertainty quantification using Isatis.py. - Module 6: Indicators estimation and simulations
3 hours
Master estimation and simulation of indicators and categorical variables using Isatis.py.
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 participate, and a solid background in practical geostatistics is recommended.
Training – Registration policy
Qualiopi label, a guarantee of the quality of our training
Our training courses are Qualiopi certified. That means that they comply with a unique French national quality reference system. This recognition guarantees the quality of the training courses we deliver and allows our trainees to be eligible for various French funding.
Registration Fee
Class fees include one set of course materials and one full Isatis license valid for one month.
Attendees are invited to use their own laptop for computer exercises. A temporary demo version of the software package(s) used for this purpose (i.e. Isatis, Isatis.neo or Kartotrak) will be freely supplied by Geovariances.
For courses to be held in Geovariances only, if you are unable to bring your own laptop during the training session, be sure to inform your sales contact and Geovariances will endeavour to provide you with a computer for the session duration.
Please note that admission will be only confirmed on receipt of your formal purchase order and after full payment.
Payment
Geovariances will invoice your company for the approved course cost amount in full unless cancellation notice has been given 10 working days before the course date.
Payment is required prior to the course to confirm the registration.
Payment options: credit card (American Express is not accepted – please provide with your card details) or wire transfer to BRED Fontainebleau HDV – IBAN number: FR76 1010 7003 2700 0302 7055 623.
Venue
Courses can be organized in or outside Geovariances premises (hotel, client premises). Please refer to the course description for more details.
Training hours are from 9:00 am to 5:00 p.m. unless otherwise specified.
Accomodation
Fee does not cover hotel accommodation. Attendees should make their own reservations directly.
Cancellation
No refund will be made for cancellation notified by a registered participant to Geovariances within 2 weeks (10 working days) prior to the course or for ’no shows’.
Attendee can be substituted.
Geovariances reserves the right to cancel a session if the minimum number of registrations is not reached and to schedule an additional session if the number of registrations is in excess of the maximum number of attendees.
Queries
Should you have any question or need further information, do not hesitate to contact us.