Duration
30h Th, 30h Pr
Number of credits
Lecturer
Language(s) of instruction
French language
Organisation and examination
Teaching in the second semester
Schedule
Units courses prerequisite and corequisite
Prerequisite or corequisite units are presented within each program
Learning unit contents
The course covers the following concepts :
- Point patterns
- Surface data (spatial autocorrelation, neighborhood and spatial weighting, global and local spatial autocorrelation indices, significance test, ...)
- Spatial interactions and networks (connectivity, graph theory)
- Continuous data (semivariogram, spatial prediction, spatial interpolation, kriging)
- Modeling of geographical phenomena (ecological and atomistic fallacy, spatial regression, geographically weighted regression)
The practical lessons aim to apply spatial analysis methods in the R programming environment.
Learning outcomes of the learning unit
This course aims to guide students through a scientific approach to analysing spatial data.
The objective is to exploit the diversity of geographic data, to understand and implement spatial analysis methods to confirm or reject hypotheses, to reveal patterns in space and explore possible causes, and to model underlying processes.
Prerequisite knowledge and skills
Basic GIS concepts (geoprocessing, cartographic representation).
Students who do not have a basic understanding of GIS are encouraged to take the Introduction to GIS course at the beginning of the semester.
Planned learning activities and teaching methods
Theoretical and pratical lectures.
Mode of delivery (face to face, distance learning, hybrid learning)
Face-to-face course
Additional information:
Theoretical and pratical lectures are face-to-face (every week).
A seminar is to be carried out independently by group of typically two or three students. Students have to present and critique in front of the class a recent scientific paper in the field of spatial analysis.
Slides of the theoretical and pratical lectures are available on eCampus. Links to additional material (books or papers) are also provided at the end of each set of slides.
Exam(s) in session
Any session
- In-person
written exam
Additional information:
Evaluation:
- 20% seminars (if the exam on the theoretical part is passed)
- 80% written exam
Work placement(s)
Organisational remarks and main changes to the course
Contacts
Prof. François Jonard, francois.jonard@uliege.be