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A BI Framework to Analyse Wildfires: Understanding the Occurrences and Behaviours of Wildfires in Portugal Through the Lens of BI
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| 2.08 MB | Adobe PDF |
Orientador(es)
Resumo(s)
In the context of rising wildfire challenges in Portugal, this study explores the challenges current
analytical models have from scientific studies and the lack of indicators integrated in online
dashboards when analysing wildfire behaviour and occurrences. Traditional statistical methods and
machine learning models often lack in providing a narrative and contextualization for wildfire data,
limiting the dissemination of information and user engagement. By leveraging a descriptive
approach, this study creates a modern dashboard, empowering users to explore historical fire data
from 2001 to 2022. Exploratory features benefit users to explore and assess fire risk in specific areas
in Portugal using a wide range of factors. The focus of the study is identifying key performance
indicators (KPIs) to explain wildfire occurrences and behaviours, improving the narrative and
contextualisation, leveraging a clearer understanding of insights. It contributes to the knowledge
within descriptive applications in wildfire analytics indicating and combining critical indicators
necessary to understand wildfire behaviours and occurrences in an interactive dashboard.
Descrição
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence
Palavras-chave
Business Intelligence Data Visualization Dashboard Descriptive Methods Fire Analytics Power BI SDG 11 - Sustainable cities and communities SDG 12 - Responsible production and consumption SDG 13 - Climate action SDG 15 - Life on land