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- English
Fiches de cours
Spatial statistics and analysis
ENG-440
Enseignant(s) :
Berne AlexisGolay François
Langue:
English
Summary
The main objective is to make the students understand the importance of the spatial issues in environmental sciences and engineering, for example for mapping and interpolation. Presentation of different concepts and techniques devoted to spatial data.Content
- Modeling, analysis and statistics of continuous phenomena (mainly Geostatistics)
- Modeling, analysis and statistics of discrete phenomena
- Classification / regionalization
- Analysis of topographical data
- Exercises and application projects (combining the different components of the course)
Learning Prerequisites
Recommended courses
Basics of Statistics
Basics of GIS
Learning Outcomes
By the end of the course, the student must be able to:- Expound importance of spatial dimension in the analysis of environmental data
- Apply basic geostatistical tools for structural inference (variogram) and interpolation (kriging)
- Assess / Evaluate the global and local spatial dependence within a spatial dataset (autocorrelation)
- Compute most important landscape and spatial metrics
- Design complex spatial analysis processes
Transversal skills
- Use a work methodology appropriate to the task.
Teaching methods
Ex-cathedra + exercises + project
Assessment methods
30 % Two spot written checks during the semester (one for each teacher)
70 % One written exam (in two parts of 90 min each) during the exam session
Dans les plans d'études
- SemestreAutomne
- Forme de l'examenEcrit
- Crédits
5 - Matière examinée
Spatial statistics and analysis - Cours
2 Heure(s) hebdo x 14 semaines - Exercices
1 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenEcrit
- Crédits
5 - Matière examinée
Spatial statistics and analysis - Cours
2 Heure(s) hebdo x 14 semaines - Exercices
1 Heure(s) hebdo x 14 semaines
- Semestre
- Gestion de l'énergie et durabilité, 2019-2020, Master semestre 1
- SemestreAutomne
- Forme de l'examenEcrit
- Crédits
5 - Matière examinée
Spatial statistics and analysis - Cours
2 Heure(s) hebdo x 14 semaines - Exercices
1 Heure(s) hebdo x 14 semaines
- Semestre
- Gestion de l'énergie et durabilité, 2019-2020, Master semestre 3
- SemestreAutomne
- Forme de l'examenEcrit
- Crédits
5 - Matière examinée
Spatial statistics and analysis - Cours
2 Heure(s) hebdo x 14 semaines - Exercices
1 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenEcrit
- Crédits
5 - Matière examinée
Spatial statistics and analysis - Cours
2 Heure(s) hebdo x 14 semaines - Exercices
1 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenEcrit
- Crédits
5 - Matière examinée
Spatial statistics and analysis - Cours
2 Heure(s) hebdo x 14 semaines - Exercices
1 Heure(s) hebdo x 14 semaines
- Semestre
- SemestreAutomne
- Forme de l'examenEcrit
- Crédits
5 - Matière examinée
Spatial statistics and analysis - Cours
2 Heure(s) hebdo x 14 semaines - Exercices
1 Heure(s) hebdo x 14 semaines
- Semestre
Semaine de référence
| Lu | Ma | Me | Je | Ve | |
|---|---|---|---|---|---|
| 8-9 | |||||
| 9-10 | |||||
| 10-11 | |||||
| 11-12 | |||||
| 12-13 | |||||
| 13-14 | CE1100 GRB001 | ||||
| 14-15 | GRB001 GRB330 | ||||
| 15-16 | |||||
| 16-17 | |||||
| 17-18 | |||||
| 18-19 | |||||
| 19-20 | |||||
| 20-21 | |||||
| 21-22 |
Cours
Exercice, TP
Projet, autre
légende
- Semestre d'automne
- Session d'hiver
- Semestre de printemps
- Session d'été
- Cours en français
- Cours en anglais
- Cours en allemand