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Syllabus:

Advanced spatial analysis, 15 Credits

Swedish name: Avancerad rumslig analys

This syllabus is valid: 2014-09-22 and until further notice

Course code: 2KG057

Credit points: 15

Education level: Second cycle

Main Field of Study and progress level: Human Geography: Second cycle, has only first-cycle course/s as entry requirements

Grading scale: AF

Responsible department: Department of Geography

Revised by: Head of Department of Geography and Economic History, 2017-09-27

Contents

The aim of the course is to provide deeper insights into geographical data analysis. The course covers different regression techniques (e.g. OLS, logistic regression and poison regression) and cluster analysis, focusing on their application in geographical analysis.
ANOVA and hierarchical models are also touched upon. Moreover, the course encompasses the use of GIS for spatial measurements (e.g. concerning geographic distributions, patterns and clusters) and analyses (e.g. local regressions).
 

Expected learning outcomes

After completing the course the student should be able to
­ Knowledge and understanding
1. understand and employ descriptive statistics and ANOVA,
2. understand and employ advanced regression techniques and cluster analysis,

Competence and skills
3. carry out and understand GIS-based measurements of spatial data,
4. utilize GIS for enhanced statistical analysis,
5. analyze different planning problems using relevant techniques and software,

Judgement and approach
6. interpret and critically assess one’s own analyses and analyses made by others,
7. critically assess statistical analyzes from gender as well as ethical perspectives.
 

Required Knowledge

Univ: 120 ECTS, 60 ECTS of which in a major field of subject, including 7,5 ECTS in quantitative methods, or equivalently.
Proficiency in English equivalent to Swedish upper secondary course English B/6

Form of instruction

Instruction is given through lectures, exercises, and seminars, where students are expected to participate actively. Relevant gender issues related to the contents are continuously integrated in the course. The course is given in English.

Examination modes

Examination modes
The course is examined by written assignments to be presented orally at seminars and in written reports. The final grade is based on the individual’s performance in the examination. In order to have the possibility to receive the grades A and B course assignments need to be delivered as scheduled

Examination based on the same syllabus as at the ordinary examination is guaranteed during two years after the first registration to the course.

Students who have passed an examination cannot redo the examination to receive a higher grade.

It is not possible to appeal against a received grade, i.e. to get it examined by a higher authority, but a student can always criticize the grading or ask another examiner to reconsider the examination.

When a student has failed an examination on two occasions, he or she has a right to have another grading teacher. A written request for an alternative examiner should be handed to the director of studies.

ACADEMIC CREDIT TRANSFER
Credit transfer is always examined individually.

Literature

Valid from: 2017 week 39

Mitchell Andy.
The ESRI guide to GIS analysis.n Volume 2: Spatial measurements & statisticsc Andy Mitchell
Redlands, CA : ESRI Press : 2005. : 238 s.. :
ISBN: 1-58948-116-X
Search the University Library catalogue

Elementary statistics for geographers
Burt James E., Barber Gerald M., Rigby David L.
3rd ed. : New York : Guilford Press : c2009. : xii, 653 s. :
ISBN: 9781572304840 (hbk.)
Search the University Library catalogue