Study Programmes 2016-2017
GEOG2044-1  
Spatial Analysis supplements
Duration :
15h Th, 20h Pr
Number of credits :
Master in geography : geomatics and surveying (120 ECTS)4
Lecturer :
Jean-Paul Donnay
Language(s) of instruction :
French language
Organisation and examination :
Teaching in the second semester
Units courses prerequisite and corequisite :
Prerequisite or corequisite units are presented within each program
Learning unit contents :
Spatial Regressions and Causal Modelling
1. General Methods of Regression: - Linear Simple, Multiple and Multi-Level Regressions - Non-Linear and Polynomial Regressions - Logistic Regression: Probit, Multinomial, Ordinal, Poisson    2. Spatial Regressions - Reminder: Glocal and Local (LISA) Spatial Autocorrelation - Autoregressive and Bayesian Models: Conditional (CAR) and Simultaneous (SAR)  - Spatial Filtering Models - Geographical (local) Weighted Regression (WGR) - Regression-Kriging
 3. Causal Modelling: - Simon-Blalock - Simultaneous equation regression analysis
     
Learning outcomes of the learning unit :
Comparison of statistical tools for reasoning on the concept of explanation and of cause and effect in the spatial distribution of geographic data.
Prerequisite knowledge and skills :
General statistics
Spatial analysis
Skill of dedicated software (GIS, spreadsheets, statistics) and a programming language (eg. Python).
Planned learning activities and teaching methods :
Seminars where are offered both readings on methods and data sets on which students will perform different treatments. Then the animation is provided by the students presenting and comparing the results, interpretations and limitations of applying of the methods they have applied.
Mode of delivery (face-to-face ; distance-learning) :
Face-to-face at the beginning of the course. Then seminars organized according to the students work schedule (if possible in parallel with the progress of their Master thesis).
Recommended or required readings :
Notes et suggested readings available on eCampus server
Assessment methods and criteria :
- Presentations made by the students on their findings 50%.
- Animation during the seminars 20%.
- Added value of performed work in thesis or an external scientific activity 30%.
Work placement(s) :
Organizational remarks :
The course is conducted by comparing the exercises made by the students. A minimum number of students is required for the course to be organized as proposed.
Contacts :
Unit of Geomatics University of Liège Agora, 19 Allée du 6 Août (B5a) 4000 Liège
Professor Jean-Paul Donnay jp.donnay@ulg.ac.be
Collaborator  Dr. Marie Trotta marie.trotta@ibsr.be