Course syllabus
Rumslig analys
Spatial Analysis
EXTN75, 7,5 credits, A (Second Cycle)
Valid for: 2021/22
Faculty: Faculty of Engineering, LTH
Decided by: PLED L
Date of Decision: 2021-03-12
General Information
Elective for: L4-gi
Language of instruction: The course will be given in English
Aim
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.
Contents
The course consists of five 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 - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Assessment takes the form of a written examination. Approved on all exercises and participation on all compulsory activities.
The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.
Admission
Admission requirements:
- EXTF01 Geographical Information Systems for Landscape Studies or EXTF80 Geographic Information Technology or EXTG75 GIS for Built and Natural Environments
- FMSF50 Mathematical Statistics, Basic Course
- EDAA20 Programming and Databases or EDAA65 Programming, First Course
The number of participants is limited to: No
The course overlaps following course/s: GISN01, NGEN11
Reading list
- Scientific articles.
- Peter A. Rogerson: Statistical Methods for Geography. 2001, ISBN: Print ISBN: 9780761962885 Online ISBN: 978184920. Online access for Lund University SAGE Research Methods Online.
- Turner, M. et al.: Landscape ecology in theory and practice : pattern and process. Springer-Verlag, 2001, ISBN: 978-0-387-95122-5. Online access for Lund University via LUB.
- Clark, I.: Practical Geostatistics. Geostokos Ltd., 2001. Contact course coordinator for advise before purchase.
Contact and other information
Course coordinator: Jonathan Seaquist, jonathan.seaquist@nateko.lu.se
Course homepage: http://www.nateko.lu.se/extn75