Geoscience Data Analysis and Geostatistics

Course content

1. 1Geoscience data and its quirksComing
2. 2Exploratory data analysis for geochemical dataComing
3. 3Compositional data and log-ratiosComing
4. 4Directional and orientation statisticsComing
5. 5Time series in geoscienceComing
6. 6Spatial autocorrelation and the variogramComing
7. 7KrigingComing
8. 8Simulation and uncertaintyComing
9. 9Mineral resource estimationComing
10. 10Machine learning for geological mappingComing
11. 11Reproducible workflows in PythonComing
12. 12Capstone: estimating a deposit from drill-hole dataComing

Requirements

• STAT-151 Statistics for the Sciences
• EASC-204 Geological Mapping and Field Methods

Recommended background. You can start any course at any time.

Description

Statistical and spatial methods for geoscience data: compositional data, variograms, kriging and resource estimation.

Part of the Science stream, typically taken in year 4.