Content, progress and pedagogy of the module

Learning objectives

Knowledge

• must have knowledge on the differences between object-based and raster-based geographic information and corresponding analytics methods
   
• must have knowledge of the calculation of the different characteristics of point patterns 
   
• must have knowledge of the calculation of the different characteristics of networks
   
• must understand fundamental methods from spatial statistics (spatial autocorrelation, spatial regression, spatial interpolation)
   
• must have knowledge of the application of the above-mentioned techniques in the context of multi-criteria evaluation and decision support systems
   
• must have knowledge of widely used software packages for the above-mentioned techniques

Skills

• must be able to use software to process and analyse point patterns
   
• must be able to use software to perform network analysis tasks
   
• must be able to use software to apply spatial statistics methods
   
• must be able to automate analysis workflows
   
• must be able to evaluate the strengths and weaknesses of the different geoprocessing methods and tools for a given task 

Competences

• must be able to support interdisciplinary teams in geocomputation and spatial analytics tasks, including the selection, application, and explanation of the respective techniques

• must be able to identify suitable geocomputation and spatial analytics techniques and apply them in relation to problems at different spatial scales

Type of instruction

Lectures, workshops, seminars, assignments, presentations.

Exam

Exams