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Author: Caroline Ailanthus Publisher: ISBN: 9781628062212 Category : Fiction Languages : en Pages : 302
Book Description
Elzy Rodriguez still can't remember how-or where-she survived the fall of civilization. It's been twenty years. All she has now is a few memories of the trees she played among as a child. Part scientific detective story, part post-apocalyptic travelogue, Ecological Memory is at heart a tale about what happens after you lose everything.
Author: Caroline Ailanthus Publisher: ISBN: 9781628062212 Category : Fiction Languages : en Pages : 302
Book Description
Elzy Rodriguez still can't remember how-or where-she survived the fall of civilization. It's been twenty years. All she has now is a few memories of the trees she played among as a child. Part scientific detective story, part post-apocalyptic travelogue, Ecological Memory is at heart a tale about what happens after you lose everything.
Author: Gustau Camps-Valls Publisher: John Wiley & Sons ISBN: 1119646162 Category : Technology & Engineering Languages : en Pages : 436
Book Description
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
Author: Christian Knoeller Publisher: University of Nevada Press ISBN: 0874176042 Category : Nature Languages : en Pages : 306
Book Description
Christian Knoeller presents a radical reinterpretation of environmental history set in the heartland of America. In an excellent model of narrative-based scholarship, this book dynamically reimagines American environmentalism across generations of writers, artists, and scientists. Knoeller starts out with Audubon, and cites Thoreau’s journals in the 1850s as he assesses an early 17th century account of New England’s natural resources by William Wood, showing the epic decline in game and bird populations in Concord. This reading of environmental history is replicated throughout with a gallery of novelists, poets, essayists, and other commentators as they explore ecological memory and environmental destruction. In apt discussions of Matthiessen, Lopez, Wendell Berry, William Stafford and many others, Knoeller offers vibrant insights into literary history. He also cites his own memoir of perpetual development on his family’s farm in Indiana, enriching the scholarship and making an urgent plea for the healing aesthetics of the imagination. Reading across centuries and genres, Knoeller gives us a vibrant new appraisal of Midwestern/North American interior literary traditions and makes clear how vital environmental writing is to this region. To date, no one has written such an eloquent and comprehensive cross-genre analysis of Midwestern environmental literature.
Author: Olivia Angé Publisher: Berghahn Books ISBN: 1789208947 Category : Social Science Languages : en Pages : 205
Book Description
Introducing the study of econostalgias through a variety of rich ethnographic cases, this volume argues that a strictly human centered approach does not account for contemporary longings triggered by ecosystem upheavals. In this time of climate change, this book explores how nostalgia for fading ecologies unfolds into the interstitial spaces between the biological, the political and the social, regret and hope, the past, the present and the future.
Author: Yan Gao Publisher: BRILL ISBN: 9004505288 Category : History Languages : en Pages : 289
Book Description
This book is an in-depth study of evolving state-society-environment relationships of the Jianghan Plain in late imperial China, as well as the transformation of landscape and waterscape in central China through lenses that have been overlooked in previous scholarship.
Author: C. Richard Puff Publisher: Academic Press ISBN: 1483265781 Category : Psychology Languages : en Pages : 495
Book Description
Handbook of Research Methods in Human Memory and Cognition is a compilation of critical examinations of major contemporary research methods in the area of human memory and cognition. The book covers topics that are defined in terms of experimental tasks and materials, aiming to introduce newcomers to the range of methodologies available and allow flexibility of choices for established investigators on how to attack the problem. Recognition memory, free-recall, and prose memory are discussed in detail. Psychologists and researchers in allied fields will find the book a good reference material.
Author: Karen Holl Publisher: Island Press ISBN: 1610919726 Category : Science Languages : en Pages : 221
Book Description
The pace, intensity, and scale at which humans have altered our planet in recent decades is unprecedented. We have dramatically transformed landscapes and waterways through agriculture, logging, mining, and fire suppression, with drastic impacts on public health and human well-being. What can we do to counteract and even reverse the worst of these effects? Restore damaged ecosystems. The Primer of Ecological Restoration is a succinct introduction to the theory and practice of ecological restoration as a strategy to conserve biodiversity and ecosystems. In twelve brief chapters, the book introduces readers to the basics of restoration project planning, monitoring, and adaptive management. It explains abiotic factors such as landforms, soil, and hydrology that are the building blocks to successfully recovering microorganism, plant, and animal communities. Additional chapters cover topics such as invasive species and legal and financial considerations. Each chapter concludes with recommended reading and reference lists, and the book can be paired with online resources for teaching. Perfect for introductory classes in ecological restoration or for practitioners seeking constructive guidance for real-world projects, Primer of Ecological Restoration offers accessible, practical information on recent trends in the field.
Author: Maria Bortoluzzi Publisher: Bloomsbury Publishing ISBN: 1350335835 Category : Language Arts & Disciplines Languages : en Pages : 289
Book Description
This open access volume is a call for ecological awareness and action through communication. It offers perspectives on how we, as humans, posit ourselves in relation to, and as part of, the environment in both verbal and non-verbal discourse. The contributions investigate a variety of situated communicative practices and how they instantiate and potentially influence our actions. Through the frameworks of ecolinguistics, multimodal studies and ecoliteracy, the book discusses how the environmental crisis is communicated as an urgent global and local issue in a variety of media, texts and events. The contributions present a wide range of case studies (including news articles, institutional websites, artwork installations, promotional texts, signposting, social campaigns and other), and they explore how communicative actions can help meet the challenges of ecologically-oriented change. The focus is on the impact that linguistic and multimodal communication can have on acting in, with and towards the environment seen as living ecosystems, or 'lifescapes'. The chapters offer a reflection on the way we experience, endorse, reframe and resist value systems in ecological communication, and propose alternative and healthier perspectives to respect and preserve the common and nurturing lifescapes through awareness and action. The ebook editions of this book are available open access under a CC BY-NC-ND 4.0 licence on bloomsburycollections.com.
Author: Gustau Camps-Valls Publisher: John Wiley & Sons ISBN: 1119646146 Category : Technology & Engineering Languages : en Pages : 436
Book Description
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares readers to be ready to use the technologies and principles described in their own research. The distinguished editors have also included resources that explain and provide new ideas and recommendations for new research especially useful to those involved in advanced research education or those seeking PhD thesis orientations. Readers will also benefit from the inclusion of: An introduction to deep learning for classification purposes, including advances in image segmentation and encoding priors, anomaly detection and target detection, and domain adaptation An exploration of learning representations and unsupervised deep learning, including deep learning image fusion, image retrieval, and matching and co-registration Practical discussions of regression, fitting, parameter retrieval, forecasting and interpolation An examination of physics-aware deep learning models, including emulation of complex codes and model parametrizations Perfect for PhD students and researchers in the fields of geosciences, image processing, remote sensing, electrical engineering and computer science, and machine learning, Deep Learning for the Earth Sciences will also earn a place in the libraries of machine learning and pattern recognition researchers, engineers, and scientists.
Author: Caroline Ailanthus
Author: Caroline Ailanthus
Author: Gustau Camps-Valls
Author: Christian Knoeller
Author: Olivia Angé
Author: Carole L. Crumley
Author: Yan Gao
Author: C. Richard Puff
Author: Karen Holl
Author: Maria Bortoluzzi
Author: Gustau Camps-Valls