Applied GIS and Geoinformatics for Urban Spatial Analysis

Course content

This course focus on advanced spatial analysis using GIS/Geoinformatics and Remote Sensing. The overall aim is to bring the participants an understanding of the relevant theories and methodologies necessary to select appropriate strategies within the broad context of urban and regional geography. The theoretical background will be discussed during the classes and the practical implementation will be tried out in a number of practical exercises.
GIS and Geoinformatics represent the backbone for many tasks related to urban and regional spatial analysis and planning. GIS includes tools for spatial statistics, analysis and modeling. It thereby facilitates the practical implementations of methods and algorithms that benefit from the large amount of available geodata including digital maps and registers. Recent development trends show an increased public and private awareness of the geospatial component of management and planning tasks. Advanced knowledge of potentials and pitfalls of doing GIS-based spatial analysis and optimization enables geographers with GIS/Geoinformatics competences to play a key role in this process. Finally, the recent advances in the accuracy of satellite images as well as the availability of these data makes urban remote sensing a very relevant discipline for providing additional geospatial information in urban areas where updated maps are less common, f.ex. fast growing African cities.


MSc Programme in Geography and Geoinformatics
MSc Programme in Geography and Geoinformatics with a minor subject

Learning outcome


GIS and Geoinformatics for urban applications, high resolution remote sensing, spatial analysis, spatial optimization, spatial statistics, general knowledge of Geodata.


• identify strategies and methodologies and to solve scientific problems in the research field
• possess a theoretical and pratical knowledge of the research field
• integrate theory, methodology, data and interpretation, and to demonstrate the ability to evaluate new information critically.


Analyse, assess and apply results, methods, theory and data in connection with urban GIS

The form of teaching is theory exercises combined with ad hoc lectures. For the teaching plan, please see Absalon.

Please see Absalon course page.

BSc in Geography and Geoinformatics or equivalent is recommended.

Continuous feedback during the course of the semester

During the course there is continuous, oral feedback from teacher related to the computer-based exercises. The feedback concerns, among other things, the applied methods, the obtained results and the final presentation.

7,5 ECTS
Type of assessment
Written assignment, Ongoing preparation throughout the course
Oral examination, 20 minutes
Type of assessment details
The written assignment is prepared during the course and must be handed in prior to the exam week. The oral exam uses the written assignment as its point of departure. It includes the titles listed in the officially approved reading list. A combined grade is given after the oral exam.
Without aids
Marking scale
7-point grading scale
Censorship form
No external censorship
Several internal examiners.

Resubmission of written assignment, 20 minutes oral examination. The written assignment must be handed in prior to the re-examination week. The oral exam uses the written assignment as its point of departure. It includes the titles listed in the officially approved reading list.

Criteria for exam assessment

Please see learning outcomes

Single subject courses (day)

  • Category
  • Hours
  • Preparation
  • 171
  • Theory exercises
  • 35
  • English
  • 206


Course number
7,5 ECTS
Programme level
Full Degree Master

1 block

Block 1
The number of seats may be reduced in the late registration period
Study Board of Geosciences and Management
Contracting department
  • Department of Geoscience and Natural Resource Management
Contracting faculty
  • Faculty of Science
Course Coordinator
  • Lasse Møller-Jensen   (3-73747147706e7535727c356b72)
Saved on the 28-02-2023

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