Teacher(s)
Language
French
Prerequisites
The prerequisite(s) for this Teaching Unit (Unité d’enseignement – UE) for the programmes/courses that offer this Teaching Unit are specified at the end of this sheet.
Main themes
The course covers the most usual statistical techniques used in geography:
regression analysis;
factor analysis;
clustering;
discrete data analysis;
spatial statistics.
Assignments lead to a basic knowledge of a statistical software (SAS).
Learning outcomes
At the end of this learning unit, the student is able to : | |
| 1 | To introduce the principal statistical methods used in geography. To be able to use them in practice: choice of the method according to nature of the problem, implementation on a computer, interpretation and communication of the results; To be able to understand the statistical aspects most frequently met in the geographical literature. |
Content
This is a course of intermediate leve for which knowledge of basic statistics is assumed. Ojectives: know and master the principal statistical analysis methods; use them correctly and in a relevant fashion in the practice of geography: choosing an appropriate method, applying it using a computer and software, interpret and communicate results, understand the most often encountered statistical features of case studies in the field of geography.
Teaching methods
Lectures integrate elements of flipped classroom to be adapted yearly to the number of students registered, but generally based on student-led presentations of theory or case studies drawn from the litterature, followed by group discussions of important points, possibly integrating a diversity of exercices such as reading and interpreting results, formulating questions, answering quizzes.
Evaluation methods
Theory (60%) : [a] weekly MCQ about the class' preparatory material (10%), [b] contribution to class based on prepared reading (20%); [c] written exam with access to the course notes allowed (20%); critical summary of research article that uses methods studied in class (10%).
Practicals (40%): exercices (20%) detailed case study (20%). The notes obtained for the contribution to class and to a detailed case study are attached to all exam session of the academic year.
Practicals (40%): exercices (20%) detailed case study (20%). The notes obtained for the contribution to class and to a detailed case study are attached to all exam session of the academic year.
Online resources
All useful resources are on Moodle.
Teaching materials
- matériel sur moodle
- Manuel de géographie quantitative: concepts, outils, méthodes par Feuillet, Cossart, Commenges
- Les statistiques en géographies par Dumolard
- Statistical methods for geography par Rogerson
Faculty or entity
