Research Article
‘Portugal Without Fires’, A Data Visualization System to Help Analyze Forest Fire Data in Portugal
@INPROCEEDINGS{10.1007/978-3-030-06134-0_55, author={Duarte Gon\`{e}alves and Bruno Lima and Jo\"{a}o Moura and Lu\^{\i}s Ferreira}, title={‘Portugal Without Fires’, A Data Visualization System to Help Analyze Forest Fire Data in Portugal}, proceedings={Interactivity, Game Creation, Design, Learning, and Innovation. 7th EAI International Conference, ArtsIT 2018, and 3rd EAI International Conference, DLI 2018, ICTCC 2018, Braga, Portugal, October 24--26, 2018, Proceedings}, proceedings_a={ARTSIT \& DLI}, year={2019}, month={1}, keywords={Data visualization Data analytics Big data Wildfires Interaction Co-decision}, doi={10.1007/978-3-030-06134-0_55} }
- Duarte Gonçalves
Bruno Lima
João Moura
Luís Ferreira
Year: 2019
‘Portugal Without Fires’, A Data Visualization System to Help Analyze Forest Fire Data in Portugal
ARTSIT & DLI
Springer
DOI: 10.1007/978-3-030-06134-0_55
Abstract
The year 2017 was relatively tragic concerning the fires in Portugal. The scourge that settled in the country and the loss of countless human lives were engraved in the Portuguese memory. Due to extraordinary weather conditions and a lack of powerful means to immediately respond to the tragedy, more than a hundred citizens lost their lives in forest fires, some of them in severe conditions, in the middle of the forest and without a chance of escape, burned in cars as they fled. This paper presents the development of an integrated visualization system, exploring data acquired over the period of last ten years of Portuguese Forest Fires. The data was extracted from multiples of official public sources and formats, analyzed and classified accordingly. Advanced graphics and data-intense processing techniques provide distinct outputs, results, and correlations on acquired sources. This project contributes to innovative data analysis and reports perception, and it is intended to fit the expectation and needs of forest fires experts in crisis scenarios, representing an add-value for transformative co-decision.