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This book introduces readers to ecological informatics as an emerging discipline that takes into account the data-intensive nature of ecology, the valuable information to be found in ecological data, and the need to communicate results and inform decisions, including those related to research, conservation and resource management. At its core, ecological informatics combines developments in information technology and ecological theory with applications that facilitate ecological research and the dissemination of results to scientists and the public. Its conceptual framework links ecological entities (genomes, organisms, populations, communities, ecosystems, landscapes) with data management, ...
Research projects are among the core components of many undergraduate and Masters degrees within environmental science and physical geography, and students increasingly undertake courses in quantitative research methodology before starting on their own assignment. This one-stop-shop text guides students through their research project from the initial stages of choosing a suitable topic, of conducting the relevant experiments and interpreting the data, through to effective presentation of the results. Takes a case-study approach to illustrate the range of environmental science topics, with cases supplied by specialists in the field. Practical worked examples and self-assessment tasks illustrate key statistical and mathematical points so as to keep heavy theory to a minimum Covers software such as Excel, SPSS and mathematical modelling, and includes statistical tables
Geography is a discipline with a profound interdisciplinary character focusing on studying the complex interactions between nature and society. Geography can advance the level of knowledge and awareness and provide important contributions to support the achievement of Sustainable Development Goals. This book explores some of these issues, while also disseminating and supporting the efforts of geographers worldwide to promote the implementation of the SDGs. It offers local and global perspectives to a variety of topics covered by the SDGs, such as: How do different actors such as universities, companies and education actors respond to Sustainable Development Goals, especially during the compl...
Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and d...
This book provides research that shows tropical cyclones are more powerful than in the past with the most dramatic increases occurring over the North Atlantic and with the strongest hurricanes. Although such increases are correlated with warming oceans and are consistent with the thermodynamic theory of hurricane intensity, there remains doubt about the interpretation, integrity, and meaning of these results. Arising from the 5th International Summit on Hurricanes and Climate Change, this book contains new research on topics related to hurricanes and climate change. Bringing together international leading academics and researchers on various sides of the debate, the book discusses new research and expresses opinions about what is happening and what might happen in the future with regard to regional and global hurricane (tropical cyclone) activity.
Zusammenfassung: This book includes the results from the 5th International Conference on Deep Learning, Artificial Intelligence and Robotics (ICDLAIR), held in National Institute of Technology, Kurukshetra, on December 07-09, 2023, which brought together visionaries, researchers, and industry leaders at the forefront of technological innovation. In the rapidly evolving landscape of technology, deep learning, artificial intelligence, and robotics stand as a beacon of innovation and intellectual exchange. Among the myriad of groundbreaking contributions, a notable gem emerges--a forthcoming book that promises to encapsulate the essence of the 5th International Conference on Deep Learning, Arti...
This contributed volume convenes selected, peer-reviewed works presented at the BIOMAT 2021 International Symposium, which was virtually held on November 1–5, 2021, with its organization staff based in Rio de Janeiro, Brazil. In this volume the reader will find applications of mathematical modeling on health, ecology, and social interactions, addressing topics like probability distributions of mutations in different cancer cell types; oscillations in biological systems; modeling of marine ecosystems; mathematical modeling of organs and tissues at the cellular level; as well as studies on novel challenges related to COVID-19, including the mathematical analysis of a pandemic model targeting...
This title showcases modern environmental modelling methods, the basic theory behind them and their incorporation into complex environmental investigations.
Swamps and marshes once covered vast stretches of the North American landscape. The destruction of these habitats, long seen as wastelands that harbored deadly disease, accelerated in the twentieth century. Today, the majority of the original wetlands in the US have vanished, transformed into farm fields or buried under city streets. In The Marsh Builders, Sharon Levy delves into the intertwined histories of wetlands loss and water pollution. The book's springboard is the tale of a years-long citizen uprising in Humboldt County, California, which led to the creation of one of the first U.S. wetlands designed to treat city sewage. The book explores the global roots of this local story: the ch...
The ability to analyze and interpret enormous amounts of data has become a prerequisite for success in allied healthcare and the health sciences. Now in its 11th edition, Biostatistics: A Foundation for Analysis in the Health Sciences continues to offer in-depth guidance toward biostatistical concepts, techniques, and practical applications in the modern healthcare setting. Comprehensive in scope yet detailed in coverage, this text helps students understand—and appropriately use—probability distributions, sampling distributions, estimation, hypothesis testing, variance analysis, regression, correlation analysis, and other statistical tools fundamental to the science and practice of medic...