Spatial Statistics and Image Analysis

Education facts

Code: MSA301

The course provides you with an introduction to spatial statistics and statistical image analysis. In the first part, statistical models for images (stochastic fields and point processes), methods for filtering and reconstruction, and simulation methods for stochastic inference are introduced. The second part of the course focuses on methods from statistics and machine learning for pattern recognition and classification. During the course, we look at applications in areas such as climate, remote sensing, microscopy, photography and medical imaging.

Entry requirements

Knowledge corresponding to thecourses MSG110 Probability Theory and MSG800 Basic Stochastic Processes.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Spatial Statistics and Image Analysis

  University of Gothenburg

  GÖTEBORG

  Start date: 23 March 2026

  End date: 7 June 2026

  Pace of study: 50 %