The course emphasizes modeling methods, spatial statistics, and multivariate analysis. The aim is to understand concepts and apply knowledge in practice using open-source software and open data.
Upon successful completion of this course, students will be able to:
– Understand the basic concepts of modeling, spatial statistics, and multivariate statistics.
– Acquire the ability to apply these concepts using the R statistical language.
– Make sound decisions regarding method selection, statistical processing, and inference.
The chi-square test
Correlation (parametric and nonparametric),
Linear regression (simple and multiple)
Binomial Logistic Regression
Spatial statistics: Autocorrelation
Clustering: hierarchical and non-hierarchical
Assignments (50%), Exams (final/intermediate) (50%),
Resit : 100% written exam
Pedion Areos, 383 34, Volos
+30 24210 74452-55
+30 24210 74380
g-prd@prd.uth.gr