Limits To Terrestrial Extraction

This volume focuses on the social, cultural, and ecological consequences of a political economy of energy. This book will be of great interest to students and scholars of environmental political theory, as well as social scientists and humanities scholars who study the intersection of energy and society.

The Routledge Handbook of Law and the Anthropocene provides a critical survey into the function of law and governance during a time when humans have the power to impact the Earth system. The Anthropocene is a “crisis of the earth system.” This book addresses its implications for law and legal thinking in the twenty-first century. Unpacking the challenges of the Anthropocene for advocates of ecological law and politics, this handbook pursues a range of approaches to the scientific fact of anthropocentrism, with contributions from lawyers, philosophers, geographers, and environmental and political scientists. Rather than adopting a hubristic normativity, the contributors engage methods, concepts, and legal instruments in a way that underscores the importance of humility and an expansive ethical worldview. Contributors to this volume are leading scholars and future leaders in the field. Rather than upholding orthodoxy, the handbook also problematizes received wisdom and is grounded in the conviction that the ideas we have inherited from the Holocene must all be open to question. Engaging such issues as the Capitalocene, Gaia theory, the rights of nature, posthumanism, the commons, geoengineering, and civil disobedience, this handbook will be of enormous interest to academics, students, and others with interests in ecological law and the current environmental crisis.

This book forges a link between residential CO2 emissions and time use, focussing on China as a key case study. To provide a better understanding of the energy implications of the lifestyle differences between urban and rural China, Pui Ting Wong and Yuan Xu utilise time-use methodology as an alternative way to explore the links between individual lifestyle and residential electricity consumption. They begin by examining how Chinese citizens divide their time between daily activities, highlighting patterns around indicators including age, gender, education, and economic status. They go on to quantify CO2 intensities of these time-use activities. Through this linkage, this book presents an alternative strategy for climate-friendly living, highlighting the ways in which urban planning can be deployed to help individuals adapt their time-use patterns for CO2 mitigation. Providing a novel contribution to the growing literature on residential electricity consumption, Residential Electricity Consumption in Urbanizing China will be of great interest to scholars of climate policy, energy studies, time use, and urban planning.

Human factors play a critical role in the design and interpretation of remotely sensed imagery for all Earth sciences. Remote Sensing and Cognition: Human Factors in Image Interpretation brings together current topics widely recognized and addressed regarding human cognition in geographic imagery, especially remote sensing imagery with complex data. It addresses themes around expertise including methods for knowledge elicitation and modeling of expertise, the effects of different aspects of realism on the interpretation of the environment, spatial learning using imagery, the effect of visual perspective on interpretation, and a variety of technologies and methods for utilizing knowledge in the analysis of remote sensing imagery. Written by leaders in the field, this book provides answers to the host of questions raised at the nexus of psychology and remote sensing. Academics and researchers with an interest in the human issues surrounding the use of remote sensing data will find this book to be an invaluable resource. The topics covered in this book are useful for both the scientific analysis of remote sensing imagery as well as the design and display of remote sensing imagery to facilitate a variety of other tasks including education and wayfinding. Features Brings together remote sensing, environmental, and computer scientists discussing their work from a psychological or human factors perspective Answers questions related to aesthetics of scientific visualization and mathematical analysis of perceptible objects Explains the perception and interpretation of realistic representations Provides illustrative real-world examples Shows how the features of display symbols, elements, and patterns have clear effects on processes of perception and visual search

Clustering has emerged as one of the more fertile fields within data analytics, widely adopted by companies, research institutions, and educational entities as a tool to describe similar/different groups. The book Recent Applications in Data Clustering aims to provide an outlook of recent contributions to the vast clustering literature that offers useful insights within the context of modern applications for professionals, academics, and students. The book spans the domains of clustering in image analysis, lexical analysis of texts, replacement of missing values in data, temporal clustering in smart cities, comparison of artificial neural network variations, graph theoretical approaches, spectral clustering, multiview clustering, and model-based clustering in an R package. Applications of image, text, face recognition, speech (synthetic and simulated), and smart city datasets are presented.

Advanced Remote Sensing: Terrestrial Information Extraction and Applications, Second Edition, is a thoroughly updated application-based reference that provides a single source on the mathematical concepts necessary for remote sensing data gathering and assimilation. It presents state-of-the-art techniques for estimating land surface variables from a variety of data types, including optical sensors like RADAR and LIDAR. The book provides scientists in a number of different fields, including geography, geophysics, geology, atmospheric science, environmental science, planetary science and ecology with access to critically-important data extraction techniques and their virtually unlimited applications. While rigorous enough for the most experienced of scientists, the techniques presented are well designed and integrated, making the book’s content intuitive and practical in its implementation. Provides a comprehensive overview of many practical methods and algorithms Offers descriptions of the principles and procedures of the state-of-the-art in remote sensing Includes real-world case studies and end-of-chapter exercises Contains thoroughly revised chapters, newly developed applications and updated examples

This book presents the latest knowledge of the newly discovered Earth-like exoplanets and reviews improvements in both radio and optical SETI. A key aim is to stimulate fresh discussion on algorithms that will be of high value in this extremely complicated search. Exoplanets resembling Earth could well be able to sustain life and support the evolution of technological civilizations, but to date, all searches for such life forms have proved fruitless. The failings of SETI observations are well recognized, and a new search approach is necessary. In this book, different detection algorithms that exploit state-of-the-art, low-cost, and extremely fast multiprocessors are examined and compared. Novel methods such as the agnostic entropy and high-sensitivity blind signal extraction algorithms should represent a quantum leap forward in SETI. The book is of interest to all researchers in the field and hopefully stimulates significant progress in the search for extraterrestrial intelligence.

The book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research by academics and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, case studies related to all the areas of data mining, machine learning, IoT and information security.