Course Unit / Spatial Data Analysis

Spatial Data Analysis

Year
1
Academic year
2022-2023
Code
02038610
Subject Area
Optional
Language of Instruction
Portuguese
Other Languages of Instruction
English
Mode of Delivery
Face-to-face
Duration
SEMESTRIAL
ECTS Credits
6.0
Type
Elective
Level
2nd Cycle Studies - Mestrado

Recommended Prerequisites

This course makes the convergence and application of competencies in programming and data analysis. A prerequisite is the transversal use of the knowledge acquired in a bachelor’s degree in informatics engineering, computer science or data analysis.

Teaching Methods

The learning process takes place along theoretical, data lab classes, and work developed autonomously.
Materials for the classes include: 

- PPT presentations

- demonstration videos
- real data sets
- geographic information system
- toolkit for geo-data analysis

Learning Outcomes

This unity addresses the topic of exploratory visualization and data analysis for spatial data, namelly geo-referenced data, for decision support. The domains of application are land use analysis, urban mobility, security and terrorism prevention, energy, water and waste management. The theoretical part of the unity addresses the concepts and computational methods. Practical classes are structured around the Data Lab. The Data Lab makes available real world data sets used within two projects. Project A uses geo-referenced data and has the goal of developing competences on the use of Geographic Information Systems and Analytic Tools for geo-referenced data. Project B has the goal of developing competences on the construction of decision support systems for urban design and planning.

Work Placement(s)

No

Syllabus

Concepts

Geographic Information Systems
Positioning
Behaviour Modeling
Land Use, Mobility and Infrastructures

Head Lecturer(s)

Carlos Manuel Robalo Lisboa Bento

Assessment Methods

Assessment
Exam: 50.0%
Project: 50.0%

Bibliography

GIS: A Computing Perspective, 3rd Edition, 2019
Michael Worboys and Matt Duckham
CRC Press

Location-based Services: Fundamentals and Operation
Axel Kupper Wiley

Mobile Positioning and Tracking: From Conventional to Cooperative Techniques, 2nd Edition, 2017
Simone Frattasi, Francescantonio Della Rosa
IEEE Press  Wiley

Papers from Journal in the area that are downloadable from the course webpage