Program

Lesson 1: Theory of measuring

• Levels of measurement (nominal,
  ordinal, interval scales)
• Temporal and spatial series
• Reliability and validity of measures
• Quantity of information
• Dimensional scales and normalisation
• Data matrices
• Main statistical indexes

Lesson 2: Correlation

• Bivariate correlation
• Correlation measures
• Spatial and temporal correlations
• Autocorrelations and cross-correlations
• Rhythms and seasonality
• Multidimensional spaces

Lesson 3: Statistical inference

• Probability distributions
• Sampling
• Parametric and non-parametric tests
• Simple/complex hypotheses
• Inference and correlation
• Regression
• Mathematical models

Lesson 4: Multivariate analysis

• Principal component analysis
• Euclidean space
• Cluster analysys
• Multivariate analysis of time series
• Multivariate analysis of spatial data