Duration
15h Th, 20h Pr
Number of credits
| Master in geography : geomatics and surveying (120 ECTS) | 4 crédits |
Lecturer
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
R software and spatial data: spatial classes and dedicated packages
1. General regression methods:
- Single, multiple and polynomial linear regressions
- Auxiliary variables in regressions
- Multi-level regressions
2. Nonparametric and counting regressions
- Logistic regressions: Logit and Probit
- Poisson and negative binomial regressions
- Regressions with over-representation of zeros
3. Spatial regressions - I
- Reminder: glocal and local spatial autocorrelation (LISA)
- Autoregressive models: ARX, SAR, LAG, SEM & CAR
4. Spatial regressions - II
- Geographically (locally) weighted regression (WGR)
- Regression with residual kriging
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 (R, GIS, spreadsheets, statistics)
Planned learning activities and teaching methods
Seminars where a quick theoretical introduction is followed by readings on methods and examples of applications on dedicated software (OS). The practical part consists of processing data sets submitted by the students (theses data in particular). Then, the animation is provided by the students who present and compare the results, the interpretations and the limits of application of the methods that 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 and added value of performed work in thesis or an external scientific activity: 80%.
- Animation during the seminars 20%.
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