Cartography and spatial data analysis

Teacher(s)

Meyfroidt Patrick;

Language

French

Main themes

This is an introductory course to quantitative analysis and modelling techniques in geography. It is split into two distinct parts: - the first part insists on the statistical aspects : statistical description, univariate analysis, introduction to regression and classification, spatial statistics, etc. - the second part concerns cartographic techniques: semiology, thematic mapping, statistical maps, etc.

Learning outcomes

At the end of this learning unit, the student is able to :
1	Perform elementary statistical analyses on real data bases; Produce satisfactory cartographic documents; Use cartographic and statistical softwares.

Bibliography

Lambert, N., & Zanin, C. (2025). Manuel de cartographie: principes, méthodes, applications.
2ème édition. Armand Colin. (disponible à la BST)
https://shs.cairn.info/manuel-de-cartographie-2ed--9782200639358?lang=fr 
Beguin, Michèle, et Pumain, Denise (2017) La représentation des données géographiques. 4 ème édition. Paris : Armand Colin.
Kraak, Menno-Jan, Roth, Robert E., Ricker, Britta, Kagawa, Ayako, et Le Sourd, Guillaume
(2020). Cartographier pour un monde durable. Nations Unies, New York (traduit en
français en 2023). https://digitallibrary.un.org/record/3898826

Teaching materials

• matériel sur moodle

Faculty or entity

> GEOG