John A. Lee – författare

However, since the late nineties, many new methods have been developed and nonlinear dimensionality reduction, also called manifold learning, has become a hot topic. The purpose of the book is to summarize clear facts and ideas about well-known methods as well as recent developments in the topic of nonlinear dimensionality reduction.

Problems of scale have exercised the minds of ecologists for many years, and will continue to do so into the future. This volume deals with this subject and with mathematical approaches to improve our understanding of complex ecological systems. The book also concentrates on monitoring the responses of ecosystems, especially to human impacts upon them. The importance of spatial separation of function at both the landscape and ecosystem level forms an important theme. Finally, this special book focuses on large-scale issues, discussing in particular important applied ecological problems and how these can be managed through a variety of planning processes. Many examples of major ecological problems in the mainstream ecological literature are drawn from Europe and North America. In contrast, many of the most pressing ecological problems are to be found elsewhere in the world. This volume is composed of four parts according to scale, objectives and application of modern ecological research. Part I covers emerging concepts and models in the ecosystem complex and in the landscape. Part II. Biological responses to environmental changes: pattern and process, Part III. Ecological networking and restoration technology: theory and practice, and finally a summary of 8th INTECOL Congress and possible future directions are covered in Part IV.

However, since the late nineties, many new methods have been developed and nonlinear dimensionality reduction, also called manifold learning, has become a hot topic. The purpose of the book is to summarize clear facts and ideas about well-known methods as well as recent developments in the topic of nonlinear dimensionality reduction.