Computational Methods for Time-Series Analysis in Earth Sciences

Name: Computational Methods for Time-Series Analysis in Earth Sciences
Brand: Elsevier Health Sciences
SKU: 9780443336317
Price: 187.88 EUR
Availability: InStock

Автор: Hossein Bonakdari

Език:

Корици: С меки корици

Издател: Elsevier Health Sciences

Наличност: Външен склад

Изпращаме след 9-15 дни

187.88 € 367.46 лв

Computational Methods for Time-Series Analysis in Earth Sciences bridges the gap between theoretical...

Информация за книгата

Автор

Hossein Bonakdari

Език

Английски език

Корици

Книга - С меки корици

Издадена

2025

страници

420

EAN

9780443336317

ISBN

0443336318

Enbook ID

46053593

Издател

Elsevier Health Sciences

Теглоt

450

Пълно описание

Computational Methods for Time-Series Analysis in Earth Sciences bridges the gap between theoretical knowledge and practical application, offering a deep dive into the utilization of R programming for managing, analyzing, and forecasting time-series data within the Earth sciences. The book systematically unfolds the layers of data manipulation, graphical representation, and sampling to prepare the reader for complex analyses and predictive modeling, from the basics of signal processing to the nuances of machine learning. It presents cutting-edge techniques, such as neural networks, kernel-based methods, and evolutionary algorithms, specifically tailored to tackle challenges, and provides practical case studies to aid readers.

This is a valuable resource for scientists, researchers, and students delving into the intricacies of Earth's environmental patterns and cycles through the lens of computational analysis. It guides readers through various computational approaches for deciphering spatial and temporal data.

Focuses on the use of R for time series analysis and the application of these methods directly to Earth and environmental datasets
Integrates Machine Learning techniques, enabling readers to explore advanced computational methods for forecasting and modeling
Includes case studies with real-world applications, providing readers with examples on how to translate computational skills into tangible outcomes

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Computational Methods for Time-Series Analysis in Earth Sciences

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