Geographical Analysis

Objectives

a) Acquire regression and correlation analysis techniques between three or more variables

b) Acquire knowledge in multivariate statistical methods, spatial statistics and graphs

c) Apply quantitative techniques for creating spatial typologies

d) Apply quantitative techniques of spatial statistics and graphs

e) Develop geographic analysis capacity based on quantitative techniques.

General characterization

Code

711041070

Credits

6.0

Responsible teacher

José António Pereira Tenedório

Hours

Weekly - 4

Total - 168

Teaching language

Portuguese

Prerequisites

N/A

Bibliography

  • D´Hainaut, L., (1992). Conceitos e Métodos da Estatística. Duas ou três variáveis segundo duas ou três dimensões. Lisboa: Fundação Calouste Gulbenkian, Vol. II., pp. 120-149
  • Pumain, D. & Saint-Julien, T. (2010). Analyse spatiale : les localisations (3th ed.) (pp. 1-192). Paris : Armand Colin
  • Reis, E. (1990). Análise Factorial das Componentes Principais: um método de reduzir sem perder informação. ISCTE: Lisboa. pp. 1-40

Teaching method

The teaching methodologies lead the student to a theoretical understanding of the basic concepts of geographic analysis, in order to be able to understand its importance and move on to its practical application.

Evaluation method

Continuous assessment - 1 practical exam(50%), 1 theoretical exam(50%)

Subject matter

1.

i) Regression model for three or more variables; multiple correlation and partial correlation between three or more variables;

ii) Spatial Statistics;

iii) Networks and Graphs

2. Geographical Synthesis:

i) Factor analysis of principal components;

ii) Geographical interpretation of principal component analysis

3. Typologies:

i) Cluster analysis;

ii) Cartography of spatial typologies

4. Practice of structuring information, creating trends, patterns and grouping of geographic data

5. Practice of creating spatial typologies:

i) elaboration of data matrices;

ii) application of data normalization and simplification methods; i

ii) application of data classification methods;

iv) typology analysis;

v) geographic interpretation of typologies.

Programs

Programs where the course is taught: