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Cluster and Classification Techniques for the Biosciences
Advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This 2006 book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique's potential.
Machine Learning Methods for Ecological Applications
This is the first text aimed at introducing machine learning methods to a readership of professional ecologists. All but one of the chapters have been written by ecologists and biologists who highlight the application of a particular method to a particular class of problem.
Upland Habitats
Upland Habitats presents a comprehensive illustrated guide to the habits wildlife and conservation of Britains last wilderness areas. These include: heather moors, sheep walk deer forest, blanket bogs, montane and sub-montane forests. The book examines the unique characteristics of uplands and the ecological processes and historical events that have shaped them since the end of the last glaciaton. Among the key conservation and management issues explored in are: * modern agricultural practices and economics * habitat degradation through overgrazing * commercial forest plantations * the persecution of wildlife * recreation in the uplands * the funding of upland farming.
Problematic Wildlife
This book provides insight into the instances in which wildlife species can create problems. Some species trigger problems for human activities, but many others need humans to save them and to continue to exist. The text addresses issues faced by economists and politicians dealing with laws involving actions undertaken to resolve the problems of the interaction between humans and wildlife. Here, the words ‘problematic species’ are used in their broadest sense, as may be appreciated in the short introductions to the various sections. At times, the authors discuss special cases while always extending the discussion into a more general and broad vision. At others, they present real cutting-...
Eagle Studies
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Enlightenment's Frontier
DIVEnlightenment’s Frontier is the first book to investigate the environmental roots of the Scottish Enlightenment. What was the place of the natural world in Adam Smith’s famous defense of free trade? Fredrik Albritton Jonsson recovers the forgotten networks of improvers and natural historians that sought to transform the soil, plants, and climate of Scotland in the eighteenth century. The Highlands offered a vast outdoor laboratory for rival liberal and conservative views of nature and society. But when the improvement schemes foundered toward the end of the century, northern Scotland instead became a crucible for anxieties about overpopulation, resource exhaustion, and the physical limits to economic growth. In this way, the rise and fall of the Enlightenment in the Highlands sheds new light on the origins of environmentalism./div
Data Science Concepts and Techniques with Applications
This book comprehensively covers the topic of data science. Data science is an umbrella term that encompasses data analytics, data mining, machine learning, and several other related disciplines. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. The chapters of this book are organized into three sections: The first section is an introduction to data science. Starting from the basic concepts, the book will highlight the types of data, its use, its importance and issues that are normally faced in data analytics. Followed by discussion on wide range of applications of data science and widely used techniques in data science. The second s...
Predicting Species Occurrences
Predictions about where different species are, where they are not, and how they move across a landscape or respond to human activities -- if timber is harvested, for instance, or stream flow altered -- are important aspects of the work of wildlife biologists, land managers, and the agencies and policymakers that govern natural resources. Despite the increased use and importance of model predictions, these predictions are seldom tested and have unknown levels of accuracy.Predicting Species Occurrences addresses those concerns, highlighting for managers and researchers the strengths and weaknesses of current approaches, as well as the magnitude of the research required to improve or test predi...
Practical Graph Mining with R
Discover Novel and Insightful Knowledge from Data Represented as a GraphPractical Graph Mining with R presents a "do-it-yourself" approach to extracting interesting patterns from graph data. It covers many basic and advanced techniques for the identification of anomalous or frequently recurring patterns in a graph, the discovery of groups or cluste
