BF/0016 - GIS METHODS IN ENVIRONMENTAL RESEARCH
Academic Year 2021/2022
Free text for the University
GUIDO STEFANO MARIANI (Tit.)
- Teaching style
- Lingua Insegnamento
|[60/77] PRESERVATION AND MANAGEMENT OF NATURAL RESOURCES AND THE ENVIRONMENT||[77/00 - Ord. 2021] PERCORSO COMUNE||4||40|
The course provides the basic knowledge and techniques for spatial analysis and for the visualization and management of geographical and environmental information. Topics will explore the features and applications of QGIS (www.qgis.org) as a key software for construction, management, analysis, and representation of spatial data.
Specific learning targets include:
• The acquisition of practical skills in the collection, analysis and representation of environmental indicators using GIS techniques.
• The ability to read and interpret geographical databases and to make use critically of digital sources (Geoportals and Web-GIS).
• The capacity of autonomous application of spatial analysis tools in problem-solving.
• The acquisition of a multilevel approach in the management of environmental issues, through the interpretation and use of different data sources.
Main principles of cartography (coordinate systems, projections, scale, symbology, etc.) and reading techniques and interpretation of topography and thematic cartography (among others technical, geological, vegetation maps). Knowledge of English at an intermediate level is strongly recommended.
Basic concepts of GIS data handling. QGIS user interface, functionality, and main procedures. Data formats and layer management. Coordinate reference systems. Data thematization and style elements.
Geodatabase management. Project files and folders. Connections to geodatabases. Data sources: geoportals, WMS, WCS and WFS, web-GIS.
Table data management: attribute table, queries, table join, field calculator. Basic statistical analysis.
Vector data management. Graphical and tabular editing techniques. Reprojection. Basic vector geoprocessing tools. Spatial join. Buffer. Spatial query. Overlay tools.
Raster analysis tools. Georeferencing and reprojection. Data symbology. Map algebra and raster calculator. Raster query. Reclassifications. Vector-raster transformations.
Digital Terrain Models (DTM): Main features, construction methods. Interpolation methods (triangulation, inverse distance weighing (IDW), natural neighbour, spline, kriging) and their interpretation. Derived maps: aspect, slope, hillshade. Longitudinal profile. 3D representation and analysis.
Principles of morphometry in GIS. Basin analysis. Curvature, roughness, TPI.
Finalizing GIS projects. Principles of map composition. Thematic cartography and styles. Print layout and file types.
2 CFU of lecturing (16 hours) and 2 CFU of software laboratory (24 hours). Lecturing will always include practice on the software. The use of a computer is required of the course.
In case of COVID-19 emergency, teaching could be done in streaming. Laboratory activities could be replaced accordingly to current rules or performed in shifts.
Verification of learning
The final examination will require the production and oral presentation of a QGIS project chosen by the student and produced independently.
The grading criteria are described below:
1) correctness in the construction of the software project (ability of choosing effective analytical tools for problem-solving, ability to carry out analysis and correctly construct the information layers, correctness in the structure and representation of layers inside the project)
2) ability to justify the choice and use of analytical tools
3) correctness in the final representation of the project
4) Structure and correctness of the exposure of the work carried out
A final mark of 18/30 certifies the achievement of the minimum learning targets.
A final mark of 30/30 certifies the achievement of all the learning objectives.
A final mark of 30/30 e lode (with merit) certifies the achievement of all the learning objectives and the ability to understand and apply the advanced functionalities of the software to manage and solve complex problems.
Noti, Valerio (2021). GIS Open Source per geologia e ambiente, II edizione. Dario Flaccovio ed., 384 pp.
Handouts and all documents distributed during classes.
Course attendance in the classroom requires the use of a personal laptop connected to the Internet. Alternatively, the degree course can provide laptops for students to book in advance. For information, please contact the teacher.