Syllabus

Title
4870 Concepts and Methods for Location-Based Business Analytics
Instructors
Ass.Prof. Mag.Dr. Petra Staufer-Steinnocher
Contact details
petra.staufer@wu.ac.at (office hours by appointment)
Type
PI
Weekly hours
2
Language of instruction
Englisch
Registration
02/04/19 to 04/25/19
Registration via LPIS
Notes to the course
This class is only offered in summer semesters.
Subject(s) Master Programs
Dates
Day Date Time Room
Monday 04/29/19 02:00 PM - 05:30 PM D2.0.030
Monday 05/06/19 02:00 PM - 05:30 PM D2.0.030
Monday 05/13/19 02:00 PM - 05:30 PM D2.0.030
Monday 05/20/19 02:00 PM - 05:30 PM D2.0.030
Monday 06/03/19 02:00 PM - 05:30 PM D2.0.030
Monday 06/17/19 02:00 PM - 05:30 PM D2.0.030
Monday 06/24/19 02:00 PM - 04:00 PM D2.0.030
Contents

The IT Competence Field Spatial Business Intelligence (SBI) is a novel area that has emerged at the interface between GISystems (GIS) and Business Intelligence (BI) technologies. SBI allows integrating different systems and technologies, saving valuable resources, visualizing organization’s assets, streamlining work flow processes, minimizing risk and enhancing business decision-making. Only recently it has been realized that integrating the geospatial component of business operations through GIS technology provides business intelligence solutions that lead to better business decisions.

The course begins with developing themes of SBI and illustrates the practical value of using GIS and location-aware technologies. Concepts and theories of geospatial analysis and information systems applied to business and management, the capabilities of technology in conducting spatial business analysis, spatial modeling and visualization as well as standards, infrastructure and metadata are the main topics. Particular emphasis will be laid on concepts and tools of advanced SBI to support marketing research and analysis, logistics and supply chain management, operations and information management, and strategic business decision-making.

Software used: ESRI ArcGIS Desktop and ArcGIS Online
Geodata used: geocoded customer and business data, postcode and administrative geographies with geodemographic attributes, consumer- and lifestyle-data, navigable street networks and background maps

Learning outcomes

By the end of this course students 

  • have a solid overview over the field of SBI, i.e. processes, technologies, applications and practices,
  • are aware of geospatial data modeling and open geodata standards,
  • are capable to combine geospatial data (GIS - Geographical Information System) with business data (BI - Business Intelligence),
  • can perform basic and advanced geospatial visualization and analysis using standard software tools.
Attendance requirements

According to the examination regulation full attendance is intended for a PI.

Teaching/learning method(s)

The course combines lecture style teaching with the principles of active learning. Via various class activities and assignments, students will also experience the practical application of the concepts learned during the lectures. Participation in class discussions and activities is an essential component of taking the course.

Assessment
  • 5 assignments with varying points (in total 50: 10+10+10+12+8 )
  • final exam (50)
Readings
1 Author: Longley, P.A., Goodchild M.F., Maguire, D.J. und Rhind, D.W.
Title: Geographic Information Systems and Science

Publisher: John Wiley, Hoboken NJ
Edition: 3rd, revised
Remarks: selected chapters, see the course overview
Year: 2011
Content relevant for class examination: Yes
Recommendation: Strongly recommended (but no absolute necessity for purchase)
Type: Book
Availability of lecturer(s)
Upon request (please mail to petra.staufer@wu.ac.at)
Unit details
Unit Date Contents
1

Unit 1: Introduction

Introduction to the course concept, organizational issues, software, literature and course texts, etc.

Introduction to Location Based Business Analytics

  • Why Location Intelligence in Business?
  • Basic Concepts of Spatial Business Intelligence and Location Analytics
  • SBI Applications Overview – What Location Intelligence can do for you?
  • A Basic Range of Queries and Concepts of Reasoning with a GIS
  • Applications and Examples
  • Related Materials

Slides: 01_SBI-1_Introduction

Assignment 1: Learn the GIS basics  (hand in until May 6, 9:00AM)

2

Unit 2: Principles of Location Intelligence (LI) and Geographic Information Systems (GIS)

Introduction

  • Defining Location Intelligence (LI) and Geographic Information Systems (GIS)
  • What is Geographic/Location Information and why does it matter?

Representing Geography

 

  • What is Geographic/Location Information and why does it matter?
  • The fundamental problem
  • Discrete objects and continuous fields
  • Rasters and vectors
  • Conclusions

Readings: Longley, P.A., Goodchild M.F., Maguire, D.J. und Rhind, D.W. (2011): Geographic Information Systems and Science [Ch. 3: Representing Geography, pp. 75-97]. John Wiley, Hoboken NJ

Slides: 02_SBI-1_LI+GIS-Principles

Assignment 2: Learn more ArcGIS basics   (hand in until May 13, 09:00AM) 

3

Unit 3: Principles of Georeferencing, Principles of Geographic Databases

Principles of Georeferencing

  • Introduction
  • Placenames
  • Postal addresses and postal codes
  • Linear referencing systems
  • Latitude and longitude
  • Projections and coordinate systems
  • The Global Positioning System
  • Converting georeferences

Readings:
Longley, P.A., Goodchild, M.F., Maguire, D.J. und Rhind, D.W. (2011): Geographic Information Systems and Science, pp. 123-145 [Chapter 5: Georeferencing]. Chichester: Wiley


Creating and Maintaining Geographic Databases

  • Introduction
  • Types of databases and Geographic DBMS extensions
  • Storing data in DBMS tables
  • Geographic databases types and functions
  • Geographic database design
  • Structuring geographic information
  • Conclusions

Readings:
Longley, P.A., Goodchild, M.F., Maguire, D.J. und Rhind, D.W. (2011): Geographic Information Systems and Science, pp. 251-270 [Chapter 10: Creating and Maintaining Geographic Databases, sections 10.1-10.7 only]. Chichester: Wiley


Slides: 03_SBI-1_Georeferencing+GeoDBs

Assignment 3: New Insights in the Physical and Digital World of Commerce through LI (hand in until May 20, 9:00AM)

4

Unit 4: Spatial Data Analysis and Inference

Introduction

  • Analysis based on location and attribute tables
  • Polygon overlay

Analysis based on distance

  • Measuring distance and length
  • Buffering
  • Cluster detection
  • Density estimation
  • Spatial interpolation

Area-based analysis

  • Measurement of area
  • Measurement of shape

Centrality measures

  • Centers
  • Centroid

Spatial optimization

  • Minimum aggregate travel point
  • Routing problems
  • Summary and Conclusions

Slides: 04_SBI-1_SpatialDataAnalysis

Readings:
Longley, P.A., Goodchild, M.F., Maguire, D.J. und Rhind, D.W. (2011): Geographic Information Systems and Science, pp. 351-401 [Chapter 14: Spatial Data Analysis, Chapter 15: Spatial Analysis and Inference]. Chichester: Wiley

Assignment 4: Desktop and online location analysis integrated?   (hand in until June 17, 9:00AM)

Assignment 5: Presentation of Desktop and online location analysis demo project  (hand in until June 17, 12:00AM and present in class 02:00-05:30PM)

5

Unit 5: GIS Software and the GeoWeb

GIS Software

  • Evolution of GIS software
  • Architecture of GIS software (Project, Departmental and Enterprise)
  • The Three-Tier Architecture
  • Building GIS software systems
  • GIS-Software Vendors
  • Types of GIS Software Systems (Desktop, Web Mapping, Server, Developer, Hand-held)

The GeoWeb

  • Distributing Data
  • The Mobile User: virtual and augmented reality
  • Location Based Services
  • Distributing the Software: GIServices - Service Oriented Architectures
  • Prospects

Slides: 05_SBI-1_GISoftware-and-the-GeoWeb

Readings:

Longley, P.A., Goodchild, M.F., Maguire, D.J. und Rhind, D.W. (2011): Geographic Information Systems and Science, pp. 181-295 [Chapter 7: GIS Software], pp. 275-293 [Chapter 11: The GeoWeb]. Chichester: Wiley

Assignment 4: Desktop and online location analysis integrated?   (hand in until June 17, 9:00AM)

Assignment 5: Presentation of Desktop and online location analysis demo project  (hand in until June 17, 12:00AM and present in class 02:00-05:30PM)

6

Unit 6: Data for Location Analytics - Types and Sources

  • Introduction
  • Characteristics of geospatial data
  • Modeling and structuring the data
  • Which geospatial data do we need for SBI?
  • Where to get which data?
  • Conclusions

SBI-1 teams present their desktop and online location analysis demo projects (8-10 minutes each)

Assignment 5: Presentation of Desktop and online location analysis demo project  (hand in until June 17, 12:00AM and present in class 02:00-05:30PM)

Course round-up and open questions

Assignment 4: Desktop and online location analysis integrated?   (hand in until June 17, 9:00AM)

7

Unit 7: Final Exam and Concluding Remarks

Last edited: 2019-04-29



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