Big Data Mining for Climate Change addresses one of the fundamental issues facing researchers of climate or the environment; how to manage the vast amount of information available and analyse it. Climate change and its environmental, economic and social consequences are widely recognized as the biggest, most interconnected problem facing humanity. There is a huge amount of potential information available currently, and it is growing exponentially. However, the issue is so complex and interconnected that, it is difficult to analyse using classic data analysis methods. These traditional methods have proven insufficient because of the size, scope, diversity and dynamic nature of the data. Recently, new integrated and interdisciplinary big data mining approaches have been emerging, partially with the help of the United Nation's big data climate challenge, some of which are recommended widely as new approaches for climate change research. Big Data Mining for Climate Change walks through the latest research and how to navigate the resources available using big data applications. This book is appropriate for scientists and advanced students studying climate change from a number of disciplines including atmospheric sciences, oceanic sciences, geography, environment sciences, ecology, energy, economics, engineering, and public policy. A step by step guide for applying big data mining tools to climate and environmental researchA comprehensive review of theory and algorithms of big data mining for climate changeIncludes current research in climate and environmental science as it relates to using big data algorithms INDICE: 1. Big Datasets and Platforms for Climate Change 2. Feature Extraction of Big Climate Data 3. Deep learning for Climate Patterns 4. Climate Networks 5. Randon Networks and Climate Entropy 6. Spectra of Climate Networks 7. Simulations of Climate Systems 8. Dimension reduction 9. Big Data Analysis for Carbon Footprint 10. Big Data Driven Low Carbon Management
- ISBN: 978-0-12-818703-6
- Editorial: Elsevier
- Encuadernacion: Rústica
- Páginas: 350
- Fecha Publicación: 01/01/2020
- Nº Volúmenes: 1
- Idioma: Inglés