290363 PS Methods of Regional Analysis (2018S)
Continuous assessment of course work
Labels
Die Anwesenheit in der ersten Lehrveranstaltungseinheit ist verpflichtend.
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 Sa 10.02.2018 07:00 to Th 22.02.2018 07:00
- Registration is open from Sa 24.02.2018 07:00 to We 28.02.2018 07:00
- Deregistration possible until Th 15.03.2018 07:00
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
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: Mo 07.09.2020 15:42