Geocomputation and Spatial Analytics


Prerequisite/Recommended prerequisite for participation in the module

1. semester or similar qualifications

Content, progress and pedagogy of the module

Students who complete the module will acquire the following knowledge, skills and competencies:

Learning objectives


  • A wide range of advanced analysis and modelling methods like spatial statistics, cell based modelling, network analysis, cellular automata, multivariate analysis and classification
  • Multi-criteria evaluation and decision support systems.


  • Being able to understand the strengths and weaknesses of the different geoprocessing methods and tools.
  • Identifying and applying advanced geocomputation and decision analysis to solve practical problems


  • Having the ability to design and develop decision support systems from identifying appropriate data and tools to present the results to the decision makers and the public

Type of instruction

Combined lectures and exercises.



Name of examGeocomputation and Spatial Analytics
Type of exam
Written exam
Permitted aids
AssessmentPassed/Not Passed
Type of gradingInternal examination
Criteria of assessmentThe criteria of assessment are stated in the Examination Policies and Procedures

Facts about the module

Danish titleGeografisk analyse og modellering
Module codePGLLANK15207
Module typeCourse
Duration1 semester
Language of instructionEnglish
Empty-place SchemeYes
Location of the lectureCampus Copenhagen
Responsible for the module


Study BoardStudy Board of Planning and Surveying
DepartmentDepartment of Planning
FacultyTechnical Faculty of IT and Design