Scientific program

• Key Topics
• Contributed Sessions
• Methods
• Areas of Applications

Program

The conference welcomes contributions to all areas of mathematical geosciences and geoinformatics. Contributions can either be submitted to

• contributed focus sessions,
  organized around current hot topics by conveners from these subject areas,
• or without a preselected session to general sessions
  organized for clusters of topically related contributions by the sciencific committee.

Contributed Sessions

Click on the titles marked to see a description.

1. Spatial Association

   Yongze Song

   This session invites researchers to present the latest studies in spatial association methods and their practical applications. Accurate characterization of spatial association is fundamental for exploring spatial factors, improving spatial predictions, and supporting informed geographical decision-making. Models addressing spatial dependence, heterogeneity, geocomplexity, singularity, and similarity are central to describing spatial association. Moreover, recent developments in geospatial artificial intelligence have introduced powerful and precise approaches for analyzing spatial association. We welcome submissions from both theoretical and applied studies that contribute to the advancement of spatial association analysis.
2. Ontologies, Knowledge Graphs, and Large Language Models in Geoscience: Construction and Application

   Xiaogang Ma, Chengbin Wang, Anirudh Prabhu

   As the geoscience community increasingly turns to advanced AI methods, the integration of ontologies, knowledge graphs, and large language models (LLMs) offers transformative potential for data management and knowledge discovery. This session aims to explore innovative approaches to constructing and applying these technologies within geoscience. We invite presentations that demonstrate the development of ontologies and knowledge graphs specific to geoscientific domains, showcasing how these models and frameworks can enhance data interoperability and semantic clarity. In particular, we welcome presentations that demonstrate how the machine-readable semantics are leveraged in reasoning and inference tasks that lead to new knowledge discoveries. Moreover, we encourage discussions on the utilization of LLMs for data science tasks in geoscience, such as automation of literature review, hypothesis generation, and enhanced data querying and analysis. Other presentations such as using knowledge graph to guide and advise LLMs in data-intensive research are also encouraged. By bringing together experts in geoinformatics, artificial intelligence, and mathematical geosciences, this session aims to stimulate interdisciplinary dialogue and identify best practices for leveraging these advanced tools. Join us in exploring and discussion how the synergistic application of ontologies, knowledge graphs, and LLMs can advance a variety of topics in geoscience.
3. AI-driven Mineral Prospectivity Modeling

   Emmanuel John Carranza, Renguang Zuo

   Mineral prospectivity modeling as a computer-based approach to delineate target areas for exploration of certain mineral deposits in a mineral system has evolved from being knowledge driven to artificial intelligence (AI)-driven. The applications of AI in mineral exploration are ever increasing nowadays to address the complexity of relationships among datasets and with known deposit occurrences. The session welcomes submissions for presentations of: (1) novel AI algorithms and applications for recognition and integration of geo-anomalies to support mineral exploration, in 2D or 3D; and (2) novel AI algorithms and applications for analysis and synthesis of a variety of geoscience datasets to model mineral prospectivity and associated uncertainty, in 2D or 3D.
4. Regina's Test Session

   Regina van den Boogaart

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Methods

1. Two Point Geostatistics
2. Multi Point Geostatistics
3. Model-Based Geostatistics
4. Point Processes
5. Time Series Analysis
6. Space-Time Processes
7. Fractal and Multi-Fractal Modelling
8. Image Analysis
9. Stochastic Geometry and Stereology
10. Other Spatial and Space-Time Statistical Methods
11. Spectral and Hyperspectral Data
12. Compositional Data Analysis
13. Spherical Mathematics, Probablity and Statistics
14. Multivariate Statistics
15. Bayesian Statistics
16. Machine Learning
17. Optimisation and Operations Research
18. Other Non-Space, Non-Time Statistical Methods
19. Numerical modelling and numerical simulation
20. Data Assimilation and data Integration
21. Inverse Problems
22. 3D geodata and modeling of 3D objects
23. Geographic and Geoscience Information Systems
24. space/space-time geo-databases
25. e-Geosciences and geoscience information exchange standards
26. other computer sciences methods
27. other mathematical methods
28. other methods

Areas of Application

1. Geomorphology and Quaternary geology
2. Tectonics, Stratigraphy and Sedimentology
3. Stress, Strain, and Fractures
4. Petrology, Mineralogy and Crystallography
5. Natural hazard and geological risk assessment
6. Oil and Hydrocarbon Energy Resources
7. Mineral Resources, Mining and Geometallurgy
8. Soil mechanics and geotechnics
9. Water: Sea, Surface and Subsurface
10. Climatology, Meteorology, Cryology, Atmosphere
11. Palaeonthology, Paleoecology, Biogeology
12. Soil Science: pedology and edafology
13. Geochemistry
14. Isotope Geochemistry
15. Chemical Analytics in the geosciences
16. Geophysics and Geodesy
17. Remote Sensing
18. Geography
19. Other topics in the geosciences
20. Other topics outside the geosciences

Key Topics