# Fiches de cours

## Spatial statistics and analysis

Berne Alexis
Golay François

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

• Semestre
Automne
• Forme de l'examen
Ecrit
• 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
Automne
• Forme de l'examen
Ecrit
• Crédits
5
• Matière examinée
Spatial statistics and analysis
• Cours
2 Heure(s) hebdo x 14 semaines
• Exercices
1 Heure(s) hebdo x 14 semaines
• Gestion de l'énergie et durabilité, 2019-2020, Master semestre 1
• Semestre
Automne
• Forme de l'examen
Ecrit
• Crédits
5
• Matière examinée
Spatial statistics and analysis
• Cours
2 Heure(s) hebdo x 14 semaines
• Exercices
1 Heure(s) hebdo x 14 semaines
• Gestion de l'énergie et durabilité, 2019-2020, Master semestre 3
• Semestre
Automne
• Forme de l'examen
Ecrit
• 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
Automne
• Forme de l'examen
Ecrit
• 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
Automne
• Forme de l'examen
Ecrit
• 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
Automne
• Forme de l'examen
Ecrit
• Crédits
5
• Matière examinée
Spatial statistics and analysis
• Cours
2 Heure(s) hebdo x 14 semaines
• Exercices
1 Heure(s) hebdo x 14 semaines

### Semaine de référence

LuMaMeJeVe
8-9
9-10
10-11
11-12
12-13
13-14 GRB001
14-15GRB001
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