Cultural skills (knowledge of): spatial attributes of ecological processes; space ecology: concepts and applications; GIS: functionality, data model and types of software. Methodological skills (know-how): practical use of GIS software; recovery, analysis and interpretation of spatial data; identification and evaluation of ecological spatial patterns.
teacher profile teaching materials
Module 1 is held in a plenary meeting with the simultaneous participation of all students enrolled in the course. Module 2 is divided into 3 study groups (with individual timetables), which will be defined at the beginning of the course.
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 course ‘MAPPING AND GIS TECHNIQUES IN ECOLOGICAL APPLICATIONS’ is structured along two integrated modules. Module 1 is structured along a broad thematic spectrum of practical and theoretical GIS topics. Module 2 includes case studies and the development of a GIS cartographic project.Module 1 is held in a plenary meeting with the simultaneous participation of all students enrolled in the course. Module 2 is divided into 3 study groups (with individual timetables), which will be defined at the beginning of the course.
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 delivery of the course
The lectures will provide of theoretical underpinnings of GIS functionalities and application followed by a large number of practical exercises (Module 1) and case studies (Module 2). During the course, a group GIS mapping project (Module 2) will also be carried out (3-5 people per group).Attendance
Given the applied nature of the course, attending lectures is highly recommended as all lectures will have practical exercises. The lecture material provided in class is in Italian and will be all available on Moodle. The main softwares of the course will be Quantum GIS (QGIS) 3.28.11 'Firenze' (or later) and Google Earth.Type of evaluation
Student performance will be assessed through a written exam composed of questions and a practical GIS exercise using the same software adopted during the lectures. The mapping projects carried out individually or in groups have to be delivered to the professor before the exam.