Unit GIS - GEOGRAPHICAL INFORMATION SYSTEMS
- Course
- Geosciences for risk and environment management
- Study-unit Code
- A002120
- Curriculum
- Geosciences for environmental sustainability
- Teacher
- Laura Melelli
- Teachers
-
- Laura Melelli
- Hours
- 42 ore - Laura Melelli
- CFU
- 6
- Course Regulation
- Coorte 2020
- Offered
- 2020/21
- Learning activities
- Caratterizzante
- Area
- Discipline geomorfologiche e geologiche applicative
- Academic discipline
- GEO/04
- Type of study-unit
- Opzionale (Optional)
- Type of learning activities
- Attività formativa monodisciplinare
- Language of instruction
- English
- Contents
- Models and structures in GIS.
Cartographic Projections and Datum.
Relational Data Base.
Vector and raster data.
Spatial Analysis in GIS.
Modelling in 3D.
Web platform and data.
Remote sensing and GIS. - Reference texts
- Casagrande L., Frigeri A., Furieri A., Marchesini A., Neteler M. (2014) - Gis Open Source: GRASS GIS, Quantum GIS and SpatiaLite. Dario Flaccovio Ed.
- Educational objectives
- The contents of the course are fundamental for the management of spatial data in the digital format, in particular for the correct archiving, display and analysis of spatial information.
The gain knowledge is:
1) the ability to model natural and anthropic phenomena in the digital environment,
2) the ability to organize heterogeneous data according to the semantic nature, format and scale in Relational Data Base,
3) the ability to create new information through spatial analysis tools in a raster and vector format.
The basic skills (ie the ability to apply the acquired knowledge) will be:
1) the ability to manage spatial data in digital format,
2) understanding the territorial phenomena using the topological properties of the data,
3) the ability to output synthesis documents of a GIS project. - Prerequisites
- No prerequisite is required
- Teaching methods
- Theoretical lessons and exercises. The course is organized as follows:
- lectures on all course topics;
- application of the theoretical concepts on Personal Computer
- autonomous creation of a GIS project in its fundamental phases: acquisition and preprocessing, analysis and management of data output. - Other information
- No other information
- Learning verification modality
- The exam includes an oral test focused on the theoretical concepts of the course. The knowledge of these items is not conditioned by the software GIS used on the personal computer. However a PC will be available to the student to better clarify some concepts (if necessary).
The oral exam consists in a discussion lasting about 30 minutes aimed at ascertaining the level of knowledge and understanding achieved by students on the theoretical and methodological topics reported in the program.
The oral exam will also test the ability of communication of the students as well as the use of correct terminology and language and autonomous organization of the discussion on the topics of the program. - Extended program
- 1. DEFINITIONS AND GENERAL CONCEPTS
- Introduction.
- Traditional and digital mapping.
- Introduction to GIS. Components and features of GIS. The data structure in GIS. Advantages and diffusion of GIS.
- Acquisition steps of a project: Pre-processing, Analysis, and Output Management.
- Introduction to commercial and open source software.
- - The reference system (projection and datum).
- Modeling Earth's surface, ellipsoid and geoid.
- Georeferencing and projection data.
2. DATA AND STRUCTURES
- Data and DataBase
- Alphanumeric data in GIS. Database types.
- The Relational Data Base.
- DBR Management: link and joins between tables, queries: geographic, on tables and mixed.
- The Geo DB.
Vector data structure:
- Definition of Data Model
- The vector structure: definition and main features. Point, line, polygon.
- Regions, Network, TIN.
- Creation and management of vector data
Raster data structure:
- The raster structure: definition and main features.
- Types of raster data.
- Storage methods and compression algorithms.
- The Digital Elevation Model: mode of acquiring altimeter data, interpolation processing, visualization, uses and applications.
- Differences and synergies of raster and vector structures
3. SPATIAL ANALYSIS
In vector data structure:
- The Overlay principles. Union, Identity, Intersect, merge, clipping, buffering.
- Geoprocessing.
In raster data structure:
- Generation of datasets related to topographic attributes useful for the study of the morphology.
- Spatial analysis models. Principles of Boolean algebra.
- Reclassifications. Aggregations. Network analysis. 3D visualization and analysis.
- The hydrological modeling from DEM
- Watershed and drainage network reconstruction.
4. STATISTICAL ANALYISIS IN GIS ENVIRONMENT
- Landslide susceptibility assessment in a test area.
5. REMOTE SENSING
- Principles and methods. The major satellite missions and products. Image analysis.
- The hydrological modeling from DEM
- Reconstruction of the watershed and drainage network.
6. VISUALIZATION AND DATA MANAGEMENT
- The perception of cartographic elements. Data visualization. Layouts.
- The INSPIRE directive.
- Data diffusion in Italy.