Please use this identifier to cite or link to this item: https://lib.hpu.edu.vn/handle/123456789/21672
Title: Big data integration shows Australian bush-fire frequency is increasing significantly
Authors: Dutta, Ritaban
Das, Aruneema
Aryal, Jagannath
Keywords: Earth science
Artificial intelligence
Atmospheric
Science
Environmental science
Bush-fire frequency
Ensemblemachine
Learning
Big data
Climatic shift
Issue Date: 2016
Publisher: The Royal Society
Abstract: Increasing Australian bush-fire frequencies over the last decade decision sciencehas indicated a major climatic change in coming future. Understanding such climatic change for Australian bush-fire is limited and there is an urgent need of scientific research, which is capable enough to contribute to Australian society. Frequency of bush-fire carries information on spatial, temporal and climatic aspects of bush-fire events and provides contextual information to model various climate data for accurately predicting future bush-fire hot spots. In this study, we develop an ensemble method based on a two-layered machine learning model to establish relationship between fire incidence and climatic data.
URI: https://lib.hpu.edu.vn/handle/123456789/21672
Appears in Collections:Education

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