81712 - Geostatistical Analysis of Territorial Data (1) (LM)

Academic Year 2022/2023

Learning outcomes

The goal is to be able to reconstruct the spatial continuity of the territory starting from the discrete data of the same territory. Such continuity will have to meet the actual features (eg geomorphologic) of the territory. Methods that use interpolation processes based on statistical analysis will be proposed. We will work on data captured with geomatics and software on OpenSurce GIS platforms.

Course contents

The lectures is divided into 3 parts where the first involves the acquisition of competences in the use of some statistical tools (frequency distributions, statistical indices, variables and statistical inference), the second one is to provide students with Tools for description, interpretation and control of data by using open-surce software (QuantumGIS, GRASS, SAGA GIS) and the third part concerns the application of methods for predicting and interpolating data.

- Introduction to statistical analysis (frequency distributions and statistical indices)

- Geostatistics and regionalized variables (variograms, scatter plot and data analysis)

- Prediction Estimates and Interpolation Methods (Deterministic and Stochastic Interpolators)

Readings/Bibliography

Attending Students

For all students who attend the bibliography will be indicated at the beginning and during the course

Non-Attending Students

The bibliography will be the same as that of the attending students and will be published at the beginning of the course

Teaching methods

The course includes frontal lectures and collective exercises in the didactic lab. At the beginning of the course the teacher will provide all the information necessary for the final examination, bibliography and the development of the didactic program.

Attending students are required to have an attendance of no less than 80% of the expected hours

Assessment methods

Verification of learning will take place through an oral examination through which the degree of student learning will be verified in relation to the topics dealt with during the course and will be conducted through the discussion of the personal exercise that each student will perform in full autonomy and through the guidance Of the teacher.

Non-attending students will have to take the oral exam and must demonstrate that they have learned the content of the course program and succeed in setting up and solving a geostatic analysis problem. Even non-attending students will have to do an exercise agreed with the teacher and present it during the exam in order to discuss the exercise itself.

Teaching tools

PowerPoint projection, PC and software for displaying and analyzing simple data, that will be provided by the teacher.

Office hours

See the website of Marco Dubbini