Descriptor
Introduction to multivariable analysis 1– Fundamentals and application of linear models. Non-linear relationships and transformations. Generalized linear models and logistic regression. Sorting and classification methods: principal component analysis and simple and multiple correspondence analysis. Cluster analysis: hierarchical methods and partitions. Introduction to R software.
Introduction to multivariable analysis 2- Fundamentals and application of linear models. Non-linear relationships and transformations. Generalized linear models and logistic regression. Sorting and classification methods: principal component analysis and simple and multiple correspondence analysis. Cluster analysis: hierarchical methods and partitions. Introduction to R software.
Competences
- Obtain and select sources and information using ICT.
- Communicate information orally and in writing with well thought out arguments to specialized and non-specialized audiences.
- Analyze and interpret the processes of change and environmental conflicts applying the concept of complexity.
- Use Geographic Information Systems and statistical methods