Universität Wien FIND

290363 PS Methods of Regional Analysis (2018S)

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


Die Anwesenheit in der ersten Lehrveranstaltungseinheit ist verpflichtend.

Details

max. 60 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Thursday 01.03. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
Thursday 08.03. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
Thursday 15.03. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
Thursday 22.03. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
Thursday 12.04. 08:00 - 13:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday 19.04. 08:00 - 13:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday 26.04. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
Thursday 03.05. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
Thursday 17.05. 08:00 - 13:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday 24.05. 08:00 - 13:00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33
Thursday 07.06. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
Thursday 14.06. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
Thursday 21.06. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518
Thursday 28.06. 10:00 - 12:00 Hörsaal 5A Geographie NIG 5.OG A0518

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

Wird auf Moodle bekanntgegeben.

Association in the course directory

(B11-6.6) (BA GG 7.1)

Last modified: Fr 31.08.2018 08:43