Valid for: 2012/13
Decided by: Education Board 2
Date of Decision: 2012-03-16
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.
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.
Grading scale: TH
Assessment: Assessment takes the form of a written examination. Approved on all exercises and participation on all compulsory activities.
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
Course coordinator: Petter Pilesjö, petter.pilesjo@nateko.lu.se
Course homepage: http://www.nateko.lu.se/courses/ngen11/