Environmental phenomena, but not only, often have a spatial component that cannot be overlooked in their analysis. The aim of the course is to introduce students to statistical techniques for the description and analysis of spatial data and to enable them to acquire the technical skills to address the problem of managing and processing real data. The lessons will be complemented by practical exercises carried out in a computer lab.
EXPECTED LEARNING OUTCOMES:

It is expected that the student will:

Assimilate the fundamental concepts for constructing a spatial model.
Acquire the essential statistical tools to analyze spatial phenomena.
Understand and be able to articulate certain theoretical aspects.
Be able to perform mathematical demonstrations.
The training in this course of study will be completed and enriched by the following skills:

Knowledge and understanding
Understanding of the basic theoretical concepts of geostatistics and the associated terminology.
Applied knowledge and understanding
Ability to apply principles of statistical reasoning in interpreting spatial phenomena.
Autonomy of judgment
Learning of logical and statistical notions necessary to work independently in the research, selection, and processing of geostatistical data.
Communication skills
Learning of the terminology and statistical techniques necessary to appropriately communicate or discuss the results of conducted analyses or reports.