The aim of the course is to provide students with a solid foundation in both the basic theoretical principles and, above all, the practical skills necessary for the use of Geographic Information Systems (GIS) in spatial analysis and the creation of digital geothematic maps.
The course seeks to develop an in-depth understanding of GIS applications in landscape analysis, covering topics such as the representation of geographic information using vector and raster data models, the digitization and creation of spatial data, the fundamentals of spatial analysis, the relational data model, and the use of SQL for managing and querying geographic data.
The course seeks to develop an in-depth understanding of GIS applications in landscape analysis, covering topics such as the representation of geographic information using vector and raster data models, the digitization and creation of spatial data, the fundamentals of spatial analysis, the relational data model, and the use of SQL for managing and querying geographic data.
teacher profile teaching materials
Course content and milestones:
– Introduction to GIS and software installation
– Quantum GIS 3.x: Getting familiar with our Open Source GIS interface.
– Qgis Tools and Plugins.
– Vector and raster data exploration
– GIS data source and georeferencing
– Database and data management
– Vector data editor
– GIS mapping
– Geoprocessing: Vectors
– Geoprocessing: Raster
– Introduction to Remote Sensing data
– GIS applications using Remote Sensing data
– Field data collection, GPS and 3D modelling
– Thematic mapping
– Statistical analysis of data
– Selection by attributes (SQL, DBMS)
– Geoprocessing and introduction to GIS modelling
– Case studies
– Individual/group mapping projects
- QGIS User Guide -
- QGIS Training Manual -
- QGIS - Manuale utente in ambiente Windows
Programme
The "GIS Laboratory" course is structured into two integrated modules, aimed at the processing and analysis of spatial data. Module 1 covers a broad range of topics, combining theoretical content with practical activities. Module 2 focuses on applied exercises based on case studies and the development of a cartographic project using GIS technology.Course content and milestones:
– Introduction to GIS and software installation
– Quantum GIS 3.x: Getting familiar with our Open Source GIS interface.
– Qgis Tools and Plugins.
– Vector and raster data exploration
– GIS data source and georeferencing
– Database and data management
– Vector data editor
– GIS mapping
– Geoprocessing: Vectors
– Geoprocessing: Raster
– Introduction to Remote Sensing data
– GIS applications using Remote Sensing data
– Field data collection, GPS and 3D modelling
– Thematic mapping
– Statistical analysis of data
– Selection by attributes (SQL, DBMS)
– Geoprocessing and introduction to GIS modelling
– Case studies
– Individual/group mapping projects
Core Documentation
Students will be provided with lecture materials and slides before class. The relevant parts of the textbooks or web material that need to be studied will be communicated during the lectures. The reference textbooks are all Open Source and available online or on Moodle.- QGIS User Guide -
- QGIS Training Manual -
- QGIS - Manuale utente in ambiente Windows
Reference Bibliography
Free textbooks: QGIS User Guide - https://docs.qgis.org/3.22/en/docs/user_manual/index.html QGIS Training Manual - https://docs.qgis.org/3.22/en/docs/training_manual/index.htmlType of evaluation
The assessment will consist of a written exam, including theoretical questions and a practical exercise to be completed using the software introduced during the lessons. Cartographic projects, completed individually or in groups, must be submitted to the instructor before the exam date.