280.836 Quantitative Methods in Spatial Research and Planning
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021W, VU, 2.0h, 3.0EC
Lecture TubeTUWEL

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: VU Lecture and Exercise
  • LectureTube course
  • Format: Hybrid

Learning outcomes

After successful completion of the course, students are able to unterstand different quantitative concepts of spatial analysis, to put them into a methodological context and to use them for solving complex planning challenges. Applying theoretical und methodical knowledge to real planning problems, students can improve their ability to think in an interconnected way and to reflect the strengths and weaknesses of different analytical methods.

Subject of course

The course introduces different quantitative methods of  spatial analysis, modelling and evaluation:

  • cluster analysis
  • multiple linear regression
  • time series and panel data analysis
  • GIS-based routing
  • spatial regression

All these methods are basically explained, critically reflected and practically applied for real questions of spatial analysis. 

Teaching methods

  • Introduction of quantitative methods of spatial analysis
  • critical reflection of limits and potential applications 
  • empirical application with R and ArcGIS

Mode of examination

Immanent

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Fri09:00 - 11:0008.10.2021EI 8 Pötzl HS Introduction / Lecture 1 (modelling, data)
Wed09:00 - 11:0013.10.2021 - 26.01.2022EI 2 Pichelmayer HS - RPL Einheit
Wed09:00 - 11:0024.11.2021 LIVE stream: https://tuwien.zoom.us/j/9418363301Time series and panel data analysis
Quantitative Methods in Spatial Research and Planning - Single appointments
DayDateTimeLocationDescription
Fri08.10.202109:00 - 11:00EI 8 Pötzl HS Introduction / Lecture 1 (modelling, data)
Wed13.10.202109:00 - 11:00EI 2 Pichelmayer HS - RPL Practical course 1: Introduction to the statistical software "R"
Wed20.10.202109:00 - 11:00EI 2 Pichelmayer HS - RPL Lecture 2: Cluster Analysis
Wed27.10.202109:00 - 11:00EI 2 Pichelmayer HS - RPL Practical course 2: Cluster analysis
Wed03.11.202109:00 - 11:00EI 2 Pichelmayer HS - RPL Lecture 3a: Multiple linear Regression
Wed10.11.202109:00 - 11:00EI 2 Pichelmayer HS - RPL Lecture 3b: Multiple linear Regression
Wed17.11.202109:00 - 11:00EI 2 Pichelmayer HS - RPL Practical Course 3: Multiple linear Regression
Wed24.11.202109:00 - 11:00 LIVE stream: https://tuwien.zoom.us/j/9418363301Time series and panel data analysis
Wed01.12.202109:00 - 11:00EI 2 Pichelmayer HS - RPL Practical course 4: Time-series and panel data analysis
Wed15.12.202109:00 - 11:00EI 2 Pichelmayer HS - RPL Lecture 5: GIS-based routing
Wed12.01.202209:00 - 11:00EI 2 Pichelmayer HS - RPL Practical course 5: GIS-based routing
Wed19.01.202209:00 - 11:00EI 2 Pichelmayer HS - RPL Lecture 6: Spatial Regression
Wed26.01.202209:00 - 11:00EI 2 Pichelmayer HS - RPL Practical course 6: Spatial Regression

Examination modalities

  • Submission of exercises, in which the presented methods are applied and crically reflected using real data. 
  • Written test on the presented methods

Course registration

Begin End Deregistration end
01.09.2021 09:00 08.10.2021 17:00 31.10.2021 23:59

Curricula

Study CodeSemesterPrecon.Info
066 440 Spatial Planning 3. Semester

Literature

No lecture notes are available.

Previous knowledge

  • basic knowledge of simple statistic methods (descriptive statistics, correlation, linear Rrgression)
  • use of Geographic Information Systems (GIS) for spatial analysis

Preceding courses

Language

German