Geocomputation and Spatial Analytics


Recommended prerequisite for participation in the module

Having completed the 1st Semester.

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, raster-based modelling, network analysis, predictive models, multivariate analysis, classification, and hydrological analysis,
  • Multi-criteria evaluation and decision support systems.


  • Being able to understand and identify the strengths and weaknesses of the different geoprocessing methods and tools.
  • Identifying and applying advanced geocomputational techniques 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 codePGLLANK17208
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
FacultyThe Technical Faculty of IT and Design