Welcome¶
Dear reader, thank you for choosing IGMAS+ and welcome to the IGMAS+ Online and Open-Source Documentation!
About¶
This website aims to enhance your understanding of the fundamental capabilities of the IGMAS+ software and offer basic support. It provides a detailed explanation of how to fully utilize the powerful graphical interface of IGMAS+.
This documentation is the result of diligent and meticulous work carried out by the members of the IGMAS+ Team over the years. Their motivation stems from the high demand within the IGMAS+ user community for an in-depth description of the software.
We encourage you to take your time to become familiar with IGMAS+. Please bear in mind that this documentation has been written by non-native English speakers.
We believe that IGMAS+ will significantly contribute to your scientific endeavors, aiding in the integrated, interdisciplinary interpretation of complex geological structures at the macro-, meso-, and micro-scale.
Warning
This online documentation is under ongoing development: some parts can be missing and some materials can look incorrectly.
AI Assistant¶
This documentation is used as a knowledge base for the IGMAS+ AI Assistant based on ChatGPT by OpenAI.
The IGMAS+ AI Assistant is designed to help users in finding information and answering questions related to the IGMAS+ software.
The knowledge base for the IGMAS+ AI Assistant is represented by a single ASCII file in markdown format and contains all relevant information from this documentation. It is continuously updated to ensure that the information provided to the AI Assistant is accurate and up-to-date.
Download the knowledge base file igmas-knowledge-base.md here:
Download as PDF¶
The contents of this website can also be downloaded as a standalone PDF file:
The legacy IGMAS+ User Manual is available here.
Quick Links¶
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The detailed description of the IGMAS+ graphical user interface and its elements.
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A collection of exemplary applications showcasing how IGMAS+ can successfully tackle various challenges. The examples are organized in a way that they focus on a specific topic or workflow, making it easier for users to learn from real-world scenarios.
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This chapter describes core algorithms and calculation methods used in IGMAS+: triangle kernel, invariants, voxel processing, isosurface extraction. It contains an overview of supported file formats, units, coordinate systems and projections.
Discover More¶
- Get the installer
The IGMAS+ installer is a self-extracting JAR file that contains all necessary files to run IGMAS+ on your computer
- Set up quickly
This quick tutorial will show you how to install and run IGMAS+ on different platforms
- No cost license
IGMAS+ is provided at no cost according to the IGMAS+ license agreement
- References
A comprehensive list of references used in the IGMAS+ documentation








