Course syllabus

Rumslig analys
Spatial Analysis

EXTN75, 7,5 credits, A (Second Cycle)

Valid for: 2012/13
Decided by: Education Board 2
Date of Decision: 2012-03-16

General Information

Elective for: L4-gi
Language of instruction: The course might be given in English


The course aims to equip students with fundamental theoretical knowledge and practical skills in the methods of spatial analysis.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

• explain correlations (relationships) within and between geographical data sets

• interpret, discuss, and apply regression methods using geographic data

• explain and apply geostatistics

• explain scaling issues affecting spatial analysis and geographic data at depth

• generally describe analysis approaches for very large data sets (data mining)

• explain the foundations of the theory behind spatial decision support systems.

Competences and skills
For a passing grade the student must

• independently analyse and intepret the results from regression models, and

• understand and apply particular spatial analytical methods to geographic data.

Judgement and approach
For a passing grade the student must

• to be able to independently relate to both spatial and conventional statistical measures and methods,

• critically appreciate the nature of geographic data and analytical techniques

• assess the reliability of analyses conducted with different methods.


The course consists of 5 modules:

• regression and other basic methods in statistical modelling

• geostatistics

• scaling issues

• analysis of very large data sets (data mining)

• spatial decison support systems.

Examination details

Grading scale: TH
Assessment: Assessment takes the form of a written examination. Approved on all exercises and participation on all compulsory activities.


Admission requirements:

The number of participants is limited to: 30
Selection: Total number of credits on master level within specialisation of LTH program.
The course might be cancelled: If the number of applicants is less than 16.
The course overlaps following course/s: GISN01

Reading list

Contact and other information

Course coordinator: Petter Pilesjö,
Course homepage: