Universität Wien FIND

290363 PS Methods of Regional Analysis (2016S)

3.00 ECTS (2.00 SWS), SPL 29 - Geographie
Continuous assessment of course work

Details

max. 60 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Monday 07.03. 10:00 - 12:00 Hörsaal 4C Geographie NIG 4.OG C0409
Monday 14.03. 10:00 - 12:00 Hörsaal 4C Geographie NIG 4.OG C0409
Monday 04.04. 10:00 - 12:00 Hörsaal 4C Geographie NIG 4.OG C0409
Monday 11.04. 10:00 - 12:00 Hörsaal 4C Geographie NIG 4.OG C0409
Monday 18.04. 08:00 - 12:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Monday 25.04. 08:00 - 12:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Monday 02.05. 10:00 - 12:00 Hörsaal 4C Geographie NIG 4.OG C0409
Monday 09.05. 10:00 - 12:00 Hörsaal 4C Geographie NIG 4.OG C0409
Monday 23.05. 08:00 - 12:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Monday 30.05. 08:00 - 12:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Monday 06.06. 10:00 - 12:00 Hörsaal 4C Geographie NIG 4.OG C0409
Monday 13.06. 10:00 - 12:00 Hörsaal 4C Geographie NIG 4.OG C0409
Monday 20.06. 10:00 - 12:00 Hörsaal 4C Geographie NIG 4.OG C0409
Monday 27.06. 10:00 - 12:00 Hörsaal 4C Geographie NIG 4.OG C0409

Information

Aims, contents and method of the course

Content: The course aims at creating basic knowledge in conceptual methodology and empirical applicability of selected quantitative methods and models specifically used in and designed for regional analysis: regional indices, shift-share-models, input-output-models, graph theory, spatial interaction models, join-count-statistics, spatial autocorrelation.
Goals: Students are able to (i) explain basic mathematical-statistical structure of the different methods/models, (ii) interpret empirical results of the methods/models, (iii) characterize typical applications and (iv) calculate regional indices, shift-share-factors and spatial potential figures with Excel and SPSS.
Methods: Combination of input, group work, tests, exercises, guided training in the computer room, tutorials.
The course is designed for bachelor students in their fourth semester. Basic knowledge in statistics and in the use of statistical programs (EXCEL, SPSS/R) is presumed.

Assessment and permitted materials

Graduation is based on two written papers (one on the results of a shift-share-analysis, one on the results of a spatial interaction model), three small exercises (in preparation for the tests) and four tests during the semester. Use of calculators (no handy, no tablet) are permitted for the tests.

Minimum requirements and assessment criteria

Requirements for graduation are: (1) regular attendance (2) timely hand over of written papers with results for the shift-share-analysis as well as the interaction model analysis and (3) positive assessment of at least two of the four tests.
Credit scheme (100): tests in sum 54, written papers in sum 34, small exercises in sum 10. A minimum of 51/100 credit points is required for positive examination.

Examination topics

Test 1: Spatial and regional indices
Test 2: Shift-share-analysis und input-output-models
Test 3: Graph theory, spatial interaction modells
Test 4: Join count statistics, spatial autocorrelation

Reading list

See e-learning platform.

Association in the course directory

(B11-6.6)

Last modified: Fr 31.08.2018 08:56