Course Description
Quantitative methods for analyzing spatial patterns in geological and environmental data. Emphasizes statistical modeling, mapping, and interpretation of earth system processes, including resource distribution, environmental variation, and natural hazards. Applications integrate real-world datasets to reveal trends and support decision-making in geosciences.
Athena Title
Applied Geostatistics
Grading System
A - F (Traditional)
Student learning Outcomes
- Students will be able to apply geostatistical methods to analyze Earth system data and interpret quantitative results in geological contexts.
- Students will understand how geostatistical tools support geological investigation, including resource characterization, groundwater assessment, and environmental analysis.
- Students will critically assess the reliability, limitations, and biases of geostatistical models and explain how these factors influence geological interpretations.
- Students will demonstrate the ability to communicate geostatistical findings clearly to both scientific and non-scientific audiences, emphasizing geological significance.
- Students will integrate quantitative reasoning with geological knowledge to propose solutions to real-world Earth system challenges, such as groundwater modeling, climate-related spatial analyses, and spatial characterization of Earth materials.
Topical Outline
- Introduction to Geostatistics in Earth Systems
Overview of geostatistical methods and their applications in geology and Earth system science.
Fundamentals of Spatial Data
Examination of sampling strategies, spatial variability, and uncertainty in geological and environmental datasets.
Probability Distributions and Random Variables in Geology
Statistical foundations for modeling geological processes and natural variability.
Variograms and Spatial Correlation
Analysis of spatial dependence in geological materials and Earth system properties.
Kriging Methods
Application of kriging techniques for interpolation and estimation in geological mapping, resource evaluation, and environmental characterization.
Simulation Techniques
Exploration of stochastic modeling approaches for subsurface heterogeneity, reservoir modeling, and environmental prediction.
Applications in Hydrogeology
Use of geostatistics to map groundwater systems, aquifer properties, and contaminant distribution.
Applications in Environmental Geology
Application of geostatistical tools to pollution mapping, soil characterization, and remediation planning.
Applications in Climate and Earth Systems
Spatial modeling of climate, hydrologic, and Earth system data for geological interpretation.
Case Studies in Resource Management
Evaluation of mining, petroleum, and geothermal projects using geostatistical analysis of spatial datasets.
Advanced Topics in Geostatistical Methods
Specialized methods such as indicator kriging, co-kriging, multivariate geostatistics, and machine-learning-assisted spatial analysis.
Communicating Results
Development of skills for clear and transparent reporting of geostatistical analyses, uncertainty, and geological interpretations.
Decision Making Under Uncertainty
Integration of quantitative evidence with geological reasoning for subsurface prediction and resource or environmental decision making.
Student-Led Technical Presentations
Presentations on applied geostatistical case studies to enhance quantitative reasoning and geological interpretation skills.
Institutional Competencies Learning Outcomes
Analytical Thinking
The ability to reason, interpret, analyze, and solve problems from a wide array of authentic contexts.
