Conference
Data Science for Geographic Information Systems
2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)
— 2024 — IEEE
Key information
Authors:
Published in
07/05/2024
Abstract
The integration of data science into Geographic Information Systems (GIS) has facilitated the evolution of these tools into complete spatial analysis platforms. The adoption of machine learning and big data techniques has equipped these platforms with the capacity to handle larger amounts of increasingly complex data, transcending the limitations of more traditional approaches. This work traces the historical and technical evolution of data science and GIS as fields of study, highlighting the critical points of convergence between domains, and underlining the many sectors that rely on this integration. A GIS application is presented as a case study in the disaster management sector where we utilize aerial data from Tróia, Portugal, to emphasize the process of insight extraction from raw data. We conclude by outlining prospects for future research in integration of these fields in general, and the developed application in particular.
Publication details
Authors in the community:
Nuno Fachada
ist145239
Publication version
VoR - Version of Record
Publisher
IEEE
Link to the publisher's version
https://ieeexplore.ieee.org/document/10624902
Title of the publication container
2024 8th International Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE)
Location of the conference
Caparica, Portugal
Conference date start
07/05/2024
Conference date end
07/05/2024
First page or article number
1
Last page
7
ISBN
979-8-3503-8764-3
Fields of Science and Technology (FOS)
computer-and-information-sciences - Computer and information sciences
Keywords
- Machine learning
- Disaster management
- Data science
- Big data
- Data mining
- Remote sensing
- Geographic information systems
Publication language (ISO code)
eng - English
Rights type:
Restricted access