Geographical Analysis

Objectives

At the completion of this course students will be able to:
a) Use regression and correlation analysis techniques between three or more variables
b) Use multivariate statistical methods, spatial statistics and graphs
c) Apply quantitative techniques to create spatial typologies
d) Apply quantitative techniques using spatial statistics and graphs
e) Develop geographical analysis skills 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

Not applicable

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

Two methods are used:
- Expository lectures
- Hands-on lessons: extensive use of software for quantitative analysis and mapping
In class teaching.

Evaluation method

Practical exam(40%), Theoretical exam(60%)

Subject matter

1. Geographical analysis: 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; ii) Geographical interpretation of factor analysis
3. Types: i) Cluster analysis; ii) Mapping spatial typologies
4. Structuring information, creating trends, patterns and geographic data clustering
5. Creating spatial typologies: i) preparing data arrays; ii) applying data standardization and simplification methods; iii) applying data classification methods; iv) analysing types; v) interpreting geographic typologies.

 

Programs

Programs where the course is taught: