290363 PS Methods of Regional Analysis (2019S)

3.00 ECTS (2.00 SWS), SPL 29 - Geographie

Continuous assessment of course work

Die Anwesenheit in der ersten Lehrveranstaltungseinheit ist verpflichtend.

Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Registration is open from Th 07.02.2019 12:00 to Tu 19.02.2019 23:00
Registration is open from Fr 22.02.2019 05:00 to Tu 26.02.2019 20:00
Deregistration possible until Fr 15.03.2019 23:00

Details

max. 60 participants

Language: German

Lecturers

Elisabeth Aufhauser

Classes

FR 01.03.2019 10.00-12.00 Hörsaal 5A Geographie NIG 5.OG A0518 (Bestätigt)
FR 08.03.2019 10.00-12.00 Hörsaal 5A Geographie NIG 5.OG A0518 (Bestätigt)
FR 15.03.2019 10.00-12.00 Hörsaal 5A Geographie NIG 5.OG A0518 (Bestätigt)
FR 22.03.2019 10.00-12.00 Hörsaal 5A Geographie NIG 5.OG A0518 (Bestätigt)
FR 29.03.2019 10.00-12.00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33 (Bestätigt)
FR 05.04.2019 10.00-12.00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33 (Bestätigt)
FR 12.04.2019 10.00-12.00 Hörsaal 5A Geographie NIG 5.OG A0518 (Bestätigt)
FR 10.05.2019 09.00-10.00 Konferenzraum C0520 NIG 5.OG
FR 10.05.2019 10.00-12.00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33 (Bestätigt)
FR 17.05.2019 10.00-12.00 Class Room 4 ZID UniCampus Hof 7 Eingang 7.1 2H-O1-33 (Bestätigt)
FR 24.05.2019 10.00-12.00 Hörsaal 5A Geographie NIG 5.OG A0518 (Bestätigt)
FR 07.06.2019 10.00-12.00 Hörsaal 5A Geographie NIG 5.OG A0518 (Bestätigt)
FR 14.06.2019 10.00-12.00 Konferenzraum C0520 NIG 5.OG
FR 28.06.2019 10.00-12.00 Hörsaal 5A Geographie NIG 5.OG A0518 (Bestätigt)

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: Tu 07.05.2019 09:48