Università degli Studi di Napoli "Parthenope"

  1. Teaching
  2. APPLIED COMPUTER SCIENCE (MACHINE LEARNING AND BIG DATA)
  3. GEOGRAPHIC INFORMATION SYSTEMS WITH LAB.

Stampa

GEOGRAPHIC INFORMATION SYSTEMS WITH LAB.

Teaching schedule

Academic year: 
2017/2018
Belonging course: 
Course of Master's Degree Programme on APPLIED COMPUTER SCIENCE (MACHINE LEARNING AND BIG DATA)
Disciplinary sector: 
PHYSICAL GEOGRAPHY AND GEOMORPHOLOGY (GEO/04)
Credits: 
6
Year of study: 
2
Teachers: 
AUCELLI Pietro Patrizio Ciro
Cycle: 
First Semester
Hours of front activity: 
48

Language

Italian

Course description

The main aims of the course is to provide to the students the basic knowledge on Geographical information systems, the main software, functions and their use in specific applications through a theoretical-practical path. At the end of the class the student will be able to use the acquired knowledge for territorial data management, spatial analysis and the overlay of raster and vector data, the implementation of geo-database and the drafting of thematic mapping with GIS programs.
The student will be able to deal with the possible situations and to adopt the most efficient solution and, at the end of the class, he will be capable to process territorial data (vector and raster) and linked database and to write technical report using correctly the specific scientific language (In English too).

Prerequisites

None

Syllabus

Fundamentals of cartography: the main types of cartographic representation and projective systems; the official Italian IGMI cartography and the Regional Technical Cartography. Reading the Topographic maps.
The numerical cartography and GIS. The coordinate systems mainly used in Italy and the georeferencing of cartographic data. Coordinate conversion criteria.
Input, output and storage systems of spatial data. The multilayer structuring of spatial data.
Raster data and vector data. Structure of raster data, geometric and radiometric resolution. Structure of vector data, geometric primitives, attributes and topological relationships. Raster-vector and vector-raster transformations.
The territorial attributes and organization through the relational model. The geodatabase.
Querying of GIS data using SQL language. Spatial and a-spatial queries. Reclassification.
Main data interpolation criteria: global and local methods (IDW, Trend Surface, Spline etc.)
Vector and raster digital terrain models: DSM, TIN and DEM. Main interpolation methods for the realization of digital terrain models starting from point clouds and / or contour lines. Main applications of digital terrain models and their use for the realization of derived maps (slopes, exposure, etc.).
Integrated analysis criteria between raster and vector data. Spatial analysis: the neighborhood filter, the cell statistics, the proximity analysis (buffer and distance matrix, etc.). The thematic overlay. The map algebra, the topological overlay and the integration between spatial data and attribute data (spatial joining).
Practical applications and implementation of a GIS project.

Introduction to GIS and fundamentals of cartography (12 h):
Fundamentals of cartography. The numerical cartography and GIS. The georeferencing of cartographic data.
Input, output and storage systems of spatial data. The multilayer structuring of spatial data.

The structure of GIS data (14 h):
Raster data and vector data. The territorial attributes and organization through the relational model. Querying of GIS.
Main data interpolation criteria.

The Terrain models (8 h):
The digital terrain models and their applications.

The spatial analysis (14 h):
Spatial analysis and map overlay.

Teaching Methods

Lectures and laboratory activities. Practical applications and implementation of a GIS project.

Textbooks

Emanuela Caiaffa - ECDL GIS – La rappresentazione cartografica e I fondamenti dei GIS – MC-GRAW Hill

Elvio Lavagna e Guido Lucarino - Geocartografia. Guida alla lettura delle carte geotopografiche. Zanichelli.

KANG-TSUNG CHANG – Introduction to Geographic Information Systems – Mc Graw Hill.

Learning assessment

The objective of the exam is to quantify the level of achievement of the pre-established training objectives. The procedure consists of an oral exam on the theoretical aspects of the course (70% of the vote) and the presentation of a GIS project agreed with the teacher that the student undertakes during the course and completes autonomously (30% of the vote). The oral test is intended to establish the acquired knowledge of the student about theoretical aspects of the numerical cartography, data organization and main criteria for spatial analysis. Otherwise, the aim of the GIS project is to test the level of competence and independence of the student facing recurring problems about territorial data management, spatial analysis, thematic overlay and cartographic production with related reports. The exam is passed if the score obtained is equal to or higher than 18/30.

More information

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