Spatial Networks: A Complete Introduction: From Graph Theory and Statistical Physics to Real-World Applications

This book provides a comprehensive introduction to spatial networks, emphasizing their characterization, evolution, and analysis in complex systems. It offers mathematical tools and models for understanding these networks, which are relevant in various fields such as urbanism, epidemiology, and physics. The author has expanded his previous book to serve as a textbook and reference for students and professional researchers.

Format: Hardback
Length: 437 pages
Publication date: 21 February 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book offers a thorough introduction to spatial networks, providing the necessary mathematical tools to characterize and understand these complex structures. It delves into the dynamics of spatial networks, exploring how they evolve over time and highlighting the most significant models of these networks. The book emphasizes the analysis of complex systems, where nodes and edges are embedded in space, recognizing that space plays a crucial role in understanding these networks. While topology alone may not capture all the relevant information, characterizing and comprehending the structure and evolution of spatial networks is vital across a wide range of fields, including urbanism, epidemiology, and physics. As such, this subject serves as a crossroads of multiple disciplines, attracting a diverse audience of physicists, mathematicians, engineers, geographers, and urbanists.

In response to this demand, the author has expanded his previous work, "Morphogenesis of Spatial Networks," into a textbook and valuable reference for students and professional researchers alike. The book is organized into five chapters, each covering different aspects of spatial networks. The first chapter provides an overview of the topic, introducing the key concepts and highlighting the importance of spatial networks in various applications. The subsequent chapters delve into the mathematical foundations of spatial networks, including network models, graph theory, and spatial statistics. The author employs a rigorous and accessible approach, making the content accessible to a broad audience, including those with limited background in mathematics.

Throughout the book, real-world examples and case studies are used to illustrate the practical applications of spatial networks. These examples range from urban planning and transportation networks to social networks and biological systems. By presenting these case studies, the author demonstrates the relevance and impact of spatial networks on our daily lives and the challenges associated with their analysis and management.

In conclusion, this book serves as an essential resource for anyone interested in spatial networks. It provides a comprehensive and up-to-date introduction to the field, covering the theoretical foundations, mathematical tools, and practical applications. Whether you are a student, researcher, or professional working in the fields of urban planning, epidemiology, or any other domain where spatial networks play a role, this book will be a valuable asset in your pursuit of knowledge and understanding.

Weight: 847g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030941055
Edition number: 1st ed. 2022