Offering valuable insights for a diverse audience, this book caters to researchers in geography, ecology, psychology, and physics. It explores themes of spatial perception and complex systems, making it a rich resource for those seeking to understand the interplay between environment and human perception, as well as the intricacies of physical phenomena.
Focusing on the groundbreaking concept of spatial entropy, this book integrates it with landscape analysis and geo-information, offering essential tools for researchers studying both natural and artificial landscapes. It delves into the dynamics of spatial entropy, self-organization, and emergence, providing alternative mathematical methods, including Shannon's formula and techniques from thermodynamics and network theory. This work serves as a vital resource for geographers and landscape scientists, enhancing their understanding of landscape diversity and complexity.
The book delves into the intricate connections between Geography and Topology, highlighting their applications in various fields such as Landscape Geography, Social Geography, Spatial Analysis, and Geospatial Technologies. It offers a comprehensive examination of how these disciplines intersect and influence one another, providing insights into both theoretical frameworks and practical uses in understanding spatial relationships.
Determinism, Stochasticity and Complexity
This book offers a comprehensive exposition of the mathematical methods that can be used to model landscape dynamics. It is systematically shown how mathematical models of progressively higher complexity can be derived from ordinary landscape maps and related data in ways that enable researchers to predict future landscape transformations and to assess landscape stability, sustainability and resilience.These models are deterministic (i.e. linear or non-linear systems of differential equations), stochastic (i.e. Markovian), or combined deterministic-and-stochastic (using stochastic differential equations), whereas topics and challenging problems related to complexity (spatial randomness, chaotic behaviors, riddled systems etc) are also examined in the book.