B6485 - SPATIAL DATA TOOLS

Anno Accademico 2024/2025

  • Docente: Giovanni Prarolo
  • Crediti formativi: 4
  • SSD: SECS-P/02
  • Lingua di insegnamento: Inglese
  • Modalità didattica: Convenzionale - Lezioni in presenza
  • Campus: Rimini
  • Corso: Laurea in Economia del turismo (cod. 8847)

Conoscenze e abilità da conseguire

Students will first gain a solid understanding of geolocation technology principles, laying the groundwork for practical application. Moving forward, students will acquire essential GIS skills, enabling them to conduct spatial analysis and create maps effectively. Throughout the course, they will demonstrate proficiency in collecting, manipulating, and interpreting geospatial data, fostering competence in real-world data handling in the context of economic decisions. Furthermore, students will apply geospatial analysis techniques to make informed decisions, enhancing their problem-solving abilities. The course will provide a holistic understanding of spatial data tools and their versatile applications across various economic domains. Students will showcase their competence by addressing real-world challenges using geospatial technology, bridging theory and practice. Critical thinking will be emphasized, empowering students to approach spatial problems systematically and derive meaningful insights.

Contenuti

Introduction to Spatial Data

"Seeing" Data

The nature of Spatial Data

Why Spatial Data in Economics? Examples

Spatial Data Tools for Economists: ready-made solutions (DataWrapper, Tableau, etc.)

Introduction to GIS: theory and application with GIS

Using GIS: the environment, coordinate systems and data

Using GIS: georeferencing, creating data, calculating distances, overlay, etc.

 

 

Testi/Bibliografia

A bibliography with full references will be distributed in class.

Reference handbook and additional slides for the use of GIS will by provided by the instructor. Additional material (data/codes/etc.) will be distributed through Virtuale.

Metodi didattici

Theoretical and applied lectures held in class and in the Lab, using GIS open-source tools.

Reading and discussion of research articles and real-life cases.

Modalità di verifica e valutazione dell'apprendimento

At least 50% of the evaluation will be based on a final written exam.

The rest of the evaluation will be based on take-home problem-sets and projects. 

The maximum possible score is 30 cum laude. The grade is graduated as follows:

<18: failed

18-23: sufficient

24-27: good

28-30: very good

30 cum laude: excellent

Strumenti a supporto della didattica

Slides and other materials distributed in class.

Orario di ricevimento

Consulta il sito web di Giovanni Prarolo

SDGs

Sconfiggere la povertà Lavoro dignitoso e crescita economica Imprese innovazione e infrastrutture Città e comunità sostenibili

L'insegnamento contribuisce al perseguimento degli Obiettivi di Sviluppo Sostenibile dell'Agenda 2030 dell'ONU.