Main Field of Study and progress level:
Human Geography: Second cycle, has only first-cycle course/s as entry requirements
Grading scale: Excellent, Very good, Good, Satisfactory, Sufficient, Insufficient, Insufficient
Responsible department: Department of Geography
Established by: Head of Department of Geography and Economic History, 2017-09-27
Revised by: Head of Department of Geography and Economic History, 2018-11-20
Contents
The course aims to develop skills and knowledge in spatial methods and analyses. The course covers different types of regression models and cluster analysis, focusing on their application in geographical analysis. The spatial analysis perspective also includes geographical information data management, visualization and analysis of spatial dynamics and regional data. Both descriptive and analytical quantitative approaches are dealt with. The course is based on applications in planning and spatial analysis.
Expected learning outcomes
Required Knowledge
Univ: 120 ECTS, 60 ECTS of which in a major field of subject.
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
ACADEMIC CREDIT TRANSFER Credit transfer is always examined individually.
Literature
Valid from:
2018 week 48
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
