Computational Ecology with Applications

Dr. Ashok M

Environment

Computational Ecology with Applications

By Dr. Ashok M

Computational Ecology with Applications offers a comprehensive exploration of the intersection between ecological research and computational techniques. This book covers a range of methodologies and tools that enhance data analysis and modeling in ecology, providing readers with practical insights into applying computational methods to real-world ecological problems. Designed for researchers, practitioners, and students, the text emphasizes the importance of computational approaches in understanding complex ecological systems. The book delves into various applications, from species distribution modeling to ecosystem dynamics, and addresses the challenges faced by ecologists in the digital age. Each chapter is supported by case studies and examples that illustrate the effective use of computational tools in ecological research. Ultimately, this work aims to equip readers with the necessary skills to leverage computational techniques to advance their understanding of ecological phenomena.

  • ISBN: 978-93-7973-894-3
  • Pages: 180
  • Language: English
$174.00
ecology

Computational Ecology with Applications offers a comprehensive exploration of the intersection between ecological research and computational techniques. This book covers a range of methodologies and tools that enhance data analysis and modeling in ecology, providing readers with practical insights into applying computational methods to real-world ecological problems. Designed for researchers, practitioners, and students, the text emphasizes the importance of computational approaches in understanding complex ecological systems.

The book delves into various applications, from species distribution modeling to ecosystem dynamics, and addresses the challenges faced by ecologists in the digital age. Each chapter is supported by case studies and examples that illustrate the effective use of computational tools in ecological research. Ultimately, this work aims to equip readers with the necessary skills to leverage computational techniques to advance their understanding of ecological phenomena.

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