Module Objectives

The course aims at familiarizing with quantitative methods of spatial data analysis and practical application of these methods. Emphasis is placed on strengthening the skills of the students in using statistical software such as R and GeoDa.

Course Content

This course is a presentation of specific topics of descriptive statistics (exploratory analysis) – Assessment of concentration – dispersion of activities in space, methods of deviation / participation (and statistical variations of) convergence model. Methods of multinomial regression analysis, Non-parametric tests and Special regression issues. It also presents spatial autocorrelation, spatial inequalities and spatial regression methods.

Teaching and Assessment

The course includes two-hour lectures and a number of laboratory exercises. The selection, preparation and delivery of projects is submitted at the end of the semester.
•    Project
•    Less than two (2) absences