Geospatial Data Management
A.Y. 2024/2025
Learning objectives
The course aims at providing key concepts for the understanding of geospatial and mobility data, as well as the basic competences for the management of such information through spatial and spatio-temporal databases.
Expected learning outcomes
Students are expected to be able to utilize and integrate georeferenced data from heterogeneous sources. Moreover, students will be able to organize and query geospatial and mobility data using both a spatial DBMS and a GIS platform, and, in addition, to use a few analytical functions.
Lesson period: Second semester
Assessment methods: Esame
Assessment result: voto verbalizzato in trentesimi
Single course
This course can be attended as a single course.
Course syllabus and organization
Single session
Responsible
Lesson period
Second semester
Course syllabus
The program is organized in two parts.
Part I: introduction to the basic notions on spatial coordinate systems, OGC SImple Feature model for the representation of spatial data in vector format, the PostGIS spatial database and the QGIS platform.
Parte II: introduction ot the models for the representation of spatial trajectories:; introduction to spatial data analysis with focus on clustering methods applied to spatial data and segmentation techniques applied to trajectories
Part I: introduction to the basic notions on spatial coordinate systems, OGC SImple Feature model for the representation of spatial data in vector format, the PostGIS spatial database and the QGIS platform.
Parte II: introduction ot the models for the representation of spatial trajectories:; introduction to spatial data analysis with focus on clustering methods applied to spatial data and segmentation techniques applied to trajectories
Prerequisites for admission
Basic knowledge in data management
Teaching methods
Frontal lessons, lab exercises
Teaching Resources
Slides: available on the ARIEL Web site
Textbook: PostGIS in Action, Manning Editor
Textbook: PostGIS in Action, Manning Editor
Assessment methods and Criteria
An oral test consisting of two parts: (a) presentation of a project, and (b) a seminar on a research article (for the students attending the classes) or, in alternative, a test on the subjects of the course (for the students not attending the classes). The project report is to be sent at least two days in advance the date of the exam.
ING-INF/05 - INFORMATION PROCESSING SYSTEMS - University credits: 6
Lessons: 48 hours
Professor:
Damiani Maria Luisa
Shifts:
Turno
Professor:
Damiani Maria LuisaProfessor(s)