Syllabus

Title
5221 SCA 2: Geospatial Systems and Analytics (Group C)
Instructors
Ass.Prof. Mag.Dr. Petra Staufer-Steinnocher
Contact details
Petra.Staufer-Steinnocher@wu.ac.at
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/24/25 to 02/26/25
Registration via LPIS
Notes to the course
This class is only offered in summer semesters.
Subject(s) Master Programs
Supply Chain Analytics - Course 2
Dates
Day Date Time Room
Wednesday 03/05/25 09:00 AM - 01:00 PM D2.-1.019 Workstation-Raum
Wednesday 03/12/25 09:00 AM - 01:00 PM D2.-1.019 Workstation-Raum
Wednesday 03/19/25 09:00 AM - 01:00 PM D2.-1.019 Workstation-Raum
Wednesday 03/26/25 09:00 AM - 01:00 PM D2.-1.019 Workstation-Raum
Wednesday 04/02/25 09:00 AM - 01:00 PM D2.-1.019 Workstation-Raum
Wednesday 04/09/25 09:00 AM - 01:00 PM D2.-1.019 Workstation-Raum
Wednesday 04/23/25 08:00 AM - 10:00 AM TC.0.02

On this page:

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Contents

The course focuses on transportation and logistics related real-world applications of Geospatial Systems and Analytics. It is divided into two major sub-modules. The first deals with issues of GIS-based spatial analysis & modeling and selected examples of real-world applications in general using adequate software tools. The second sub-module shifts attention to GIS-based spatial analysis & modeling, especially to GIS network routing problems that have become prominent in GIS-T: the vehicle routing problem with pickup, delivery and time windows and selected examples of real-world applications in general using adequate software tools.

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Learning outcomes

After successful completion of the module, students are able to design a geospatial (network) data and analysis model in a given application context and solve network routing and network allocation problems.

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Attendance requirements

According to the examination regulation full attendance is intended for a PI. Absence in one unit is tolerated if a proper reason is given.

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Teaching/learning method(s)
  • lecture and discussion
  • lab course tutorials
  • pre-/after-class work: preparatory readings, assignments
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Assessment

Original Tasks: max. achievable points = 100

  • Individual and group assignments (50)
  • In-class quiz (5)
  • final exam (45)

Grading scale:

  • Excellent (1): 90% - 100% (>= 90 points)
  • Good (2): 80% - <90% (80 - < 90 points)
  • Satisfactory (3): 70% - <80% (70 - < 80 points)
  • Sufficient (4): 60% - <70% (60 - < 70 points)
  • Fail (5): <60% (< 60 points)

Prerequisite for passing the course: minimum performance of 40% in the final examination.

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Prerequisites for participation and waiting lists

Restricted to MSc SCM (WU) students.

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Readings

Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.

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Availability of lecturer(s)

Office hours by appointment (please, send email to Petra.Staufer-Steinnocher@wu.ac.at) Location: Campus WU, Building D4, Entrance A, via Front Office Socioeconomics 3rd floor take stairway down to 2nd floor Room D4.2.250 (find me at Campus WU).

In case of questions concerning your homework assignments you can contact your tutor via mail or arrange a meeting via Facebook.

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Other

program's website

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Unit details
Unit Date Contents
1

Unit 1: Introduction to GSSA

  • Course overview and outline
  • A first look at SCM, Geospatial Systems and Analytics (GSSA)
    • SCM, geography and information systems
    • What is a Geographic Information System (GIS) and why does GIS matter?
    • GIS for transportation [GIS-T]
  • GSSA: some GIS/GIS-T applications in SCM context
  • Introduction to Assignment 1
  • Introduction to ArcGIS Pro in the PC labs
  • Student licenses for individual use on private PCs/laptops (Windows OS)

Unit 1: Readings and Slides (download from Modules)

  • Miller, H.J. and Shaw, S.-L. (2001): Geographic Information Systems for Transportation: Principles and Applications [Chapter 1: Introduction, pp. 1-7]. New York: Oxford University Press
  • Longley, P.A., Goodchild, M.F., Maguire, D.J. and Rhind, D.W. (2015): Geographic Information Science & Systems [Chapter 1: Systems, Science, and Study, pp. 1-33], 4th edition. Hoboken, NJ: Wiley

Assignment 1: Getting started with ArcGIS Pro and the Network Analyst.
2

Unit 2: Data Modeling and Database Design

Data domains and data modeling

  • GIS data base
  • GIS-T data domains
  • Data base design implications

Data modeling techniques

  • Conceptual data modeling
  • Logical data modeling
  • Object oriented data modeling

Accompanying readings: Miller, H.J. and Shaw, S.-L. (2001): Geographic Information Systems for Transportation: Principles and Applications (Chapter 2, pp. 14-52). New York: Oxford University Press

Unit 2: Readings and slides (download from Modules)
3

Unit 3: Network Data Models

  • Graph theory and network analysis
  • Network representation of a transportation system
  • Linear referencing methods and systems
  • Transportation data models for Intelligent Transportation Systems (ITS) and related applications

Accompanying readings: Miller, H.J. and Shaw, S.-L. (2001): Geographic Information Systems for Transportation: Principles and Applications (Chapter 3, pp. 53-84). New York: Oxford University Press

Unit 3: Readings and slides (download from Modules)
4

Unit 4: GIS-Based Spatial Analysis and Modeling

What is spatial analysis?

  • Definition
  • Snow Map
  • Some examples

Categories of Spatial Analysis (with hands-on ArcGIS Lab examples)

  • Queries and reasoning
  • Measurements
  • Transformations
  • Online geocoding address data
  • Service areas

Unit 4: Readings and slides (download from Modules)

Miller, H.J. and Shaw, S.-L. (2001): Geographic Information Systems for Transportation: Principles and Applications, pp. 85-129 [Chapter 7: GIS-Based Spatial Analysis]. New York: Oxford University Press

More readings:

Longley, P.A., Goodchild, M.F., Maguire, D.J. and Rhind, D.W. (2011): Geographic Information Systems & Science (3rd ed.), pp. 275-295 [Chapter 14: Spatial Data Analysis]. Hoboken, NJ: Wiley

or

Goodchild, M.F., Maguire, D.J. and Rhind, D.W. (2015): Geographic Information Science and Systems (4th ed.), pp. 290-318 [Chapter 13: Spatial Data Analysis]. Hoboken, NJ: Wiley
5

Unit 5: Advanced GIS-Based Spatial Analysis and Modeling

Categories of Spatial Analysis (with hands-on ArcGIS Lab examples)

  • Transformations (ctd.)
  • Descriptive summaries
  • Optimization
  • Hypothesis testing

Unit 5: Readings and slides (download from Modules)

Readings:

Miller, H.J. and Shaw, S.-L. (2001): Geographic Information Systems for Transportation: Principles and Applications, pp. 85-129 [Chapter 7: GIS-Based Spatial Analysis]. New York: Oxford University Press

More readings:

Longley, P.A., Goodchild, M.F., Maguire, D.J. and Rhind, D.W. (2011): Geographic Information Systems & Science (3rd ed.), pp. 381-401 [Chapter 14: Spatial Analysis and Inference]. Hoboken, NJ: Wiley

or

Goodchild, M.F., Maguire, D.J. and Rhind, D.W. (2015): Geographic Information Science and Systems (4th ed.), pp. 319-338 [Chapter 14: Spatial Analysis and Inference]. Hoboken, NJ: Wiley
6

Unit 6: Solving Shortest Path, Travelling Salesman and Vehicle Routing Problems with GIS

  • SPP and TSP round-up
  • The vehicle routing problem overview
  • VRP formulation, notation, program formulation
  • Variations of the (Capacitated)VRP
  • Classical VRP heuristics
  • Conclusions

Unit 6: Readings and slides (download from Modules)

Accomp. readings

Miller, H.J. and Shaw, S.-L. (2001): Geographic Information SyShostems for Transportation: Principles and Applications (Chapter 5, pp. 130-171). New York: Oxford University Press

Further Readings:

Handschuh (2011): Network Modeling and Routing using GIS-T: An Enriched e-Learning Tutorial. Module 3: Vehicle routing problems, pp 65-92
Last edited: 2024-11-21



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