But du cours
The aim of this course is to provide the necessary concepts in geographic information systems to efficiently manipulate this data within IoT projects or spatial data analysis projects.
Acquis d'apprentissage visés
Perform exploratory data analysis Visualize data
Prérequis
Python programming, basic database knowledge, high school-level geometry.
Programme
Spatio-temporal Information Systems
- Spatio-temporal data and spatio-temporal modeling;
- Spatial indexing;
- Spatial queries;
- Spatial integrity constraints;
- GIS interoperability;
- Major Geographic Information Systems (GIS) on the market.
Tele-geomatics
- Telecommunications geomatics;
- Modern positioning systems (GPS, etc.);
- Real-time decision-making;
- Information exchange between geographically distributed sites.
Applications
- Overview of potential applications: Natural disaster and emergency management, precision agriculture; forestry; health and public safety; mobility information and tele-geomatics; navigation and monitoring in transportation; oceans and coastal areas; land and wetlands.
- Examples of specialized applications (e.g., real-time volcano monitoring);
- Examples of web-based applications (e.g., hazardous materials traffic management).
Modalités d'évaluation
A knowledge assessment and a lab report.
Bibliographie
Geographic Information Systems: Course and exercises with Grass and Qgis
Supports
Slides and practical work sheets.