280.092 Methods of Regional Analysis
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2019W, VU, 2.0h, 3.0EC
TUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise

Learning outcomes

After successful completion of the course, students are able to apply methods and indicators of spatial analysis for describing, explaning and modelling spatial structures and developments in a way that the results can be used in a planning process.

Subject of course

  • Problem-oriented application of analytical methods in the planning process
  • Indicators of spatial structures and developments
  • Analysis of spatial networks, accessibilities and interactions
  • Modelling of spatial development and spatial interaction
  • Simulation of spatial planning instruments and projects

Teaching methods

In oral lectures the different methods of spatial analysis are explained (also with practical examples) and discussed with regard to their applicability in practice. Based on these inputs, the students apply these methods with given data and integrate all results in a written report.

Mode of examination

Written

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Wed11:00 - 13:0002.10.2019Seminarraum W92 Introduction and Lecture 1
Wed11:00 - 13:3009.10.2019 - 29.01.2020Hörsaal 6 - RPL Lecture
Wed11:00 - 13:3016.10.2019 - 29.01.2020 Computer Laboratories: PC7 (if neccessary PC8 in addition)Practical Course
Methods of Regional Analysis - Single appointments
DayDateTimeLocationDescription
Wed02.10.201911:00 - 13:00Seminarraum W92 Introduction and Lecture 1
Wed09.10.201911:00 - 13:30Hörsaal 6 - RPL Lecture 2
Wed16.10.201911:00 - 13:30Hörsaal 6 - RPL Practical Course
Wed16.10.201911:00 - 13:30 Computer Laboratories: PC7 (if neccessary PC8 in addition)Practical Course
Wed23.10.201911:00 - 13:30Hörsaal 6 - RPL Lecture 3
Wed23.10.201911:00 - 13:30 Computer Laboratories: PC7 (if neccessary PC8 in addition)Practical Course
Wed30.10.201911:00 - 13:30Hörsaal 6 - RPL Practical course
Wed30.10.201911:00 - 13:30 Computer Laboratories: PC7 (if neccessary PC8 in addition)Practical Course
Wed06.11.201911:00 - 13:30Hörsaal 6 - RPL Lecture 4
Wed06.11.201911:00 - 13:30 Computer Laboratories: PC7 (if neccessary PC8 in addition)Practical Course
Wed13.11.201911:00 - 13:30Hörsaal 6 - RPL Practical course
Wed13.11.201911:00 - 13:30 Computer Laboratories: PC7 (if neccessary PC8 in addition)Practical Course
Wed20.11.201911:00 - 13:30Hörsaal 6 - RPL Practical course
Wed20.11.201911:00 - 13:30 Computer Laboratories: PC7 (if neccessary PC8 in addition)Practical Course
Wed27.11.201911:00 - 13:30Hörsaal 6 - RPL Lecture 5
Wed27.11.201911:00 - 13:30 Computer Laboratories: PC7 (if neccessary PC8 in addition)Practical Course
Wed04.12.201911:00 - 13:30Hörsaal 6 - RPL Practical course
Wed04.12.201911:00 - 13:30 Computer Laboratories: PC7 (if neccessary PC8 in addition)Practical Course
Wed11.12.201911:00 - 13:30Hörsaal 6 - RPL Practical course
Wed11.12.201911:00 - 13:30 Computer Laboratories: PC7 (if neccessary PC8 in addition)Practical Course

Examination modalities

Written report

Course registration

Begin End Deregistration end
01.10.2019 10:00 16.10.2019 11:00 16.10.2019 11:00

Curricula

Study CodeObligationSemesterPrecon.Info
033 240 Spatial Planning Mandatory3. SemesterSTEOP
Course requires the completion of the introductory and orientation phase

Literature

Schätzl, Ludwig (2000) Wirtschaftsgeographie 2. Schöningh: Paderborn.

Kulke,Elmar (2004) Wirtschaftsgeographie. Schöningh´: Paderborn.

Piesch, Walter (1975) Statistische Konzentrationsmaße: Formale Eigenschaften und verteilungstheoretische Zusammenhänge. J.B.C. Mohr: Tübingen.

Previous knowledge

Modul 5 ("Basics on spatial analysis and visualisation") especially the course "Computer-based data analysis" (VU 4.0)

Language

German