Products related to Variability:
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Climate Variability and Tropical Cyclone Activity
This book presents a comprehensive summary of research on tropical cyclone variability at various time scales, from intraseasonal and interannual to interdecadal and centennial.It covers the fundamental theory, statistics and numerical modelling techniques used when considering climate variability in relation to tropical cyclone activity.Major climate oscillations including the Madden-Julian, El Niño, Atlantic Meridional Mode, and Pacific Decadal oscillations are covered, and their impacts on tropical cyclone activity in the Pacific and Atlantic oceans are discussed.Hurricane landfalls in the United States, Caribbean and East Asia are also considered.Climate models and numerical simulations are used to show how prediction models of tropical cyclones are developed, while looking to the future, particular attention is paid to predicting how tropical cyclones will change in response to increased concentrations of greenhouse gases.This book ideal for researchers and practitioners in atmospheric science, climatology, oceanography and civil and environmental engineering.
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Natural Decadal Climate Variability : Phenomena, Mechanisms, and Predictability
Natural decadal climate variability (DCV) and its interactions with anthropogenic climate change (ACC) are vitally important to understand to predict the future of the Earth’s climate.This book, after familiarizing readers with the importance of understanding and predicting DCV phenomena and its distinction from ACC phenomena, comprehensively explains the physics of DCV, integrating paleoclimate proxy and modern instrument-based data and simulations with climate models.Features of this book: Uniquely focuses on natural DCV, its physics, and its predictability Presents an integrated view of DCV phenomena based on approximately 700 peer-reviewed publications cited in the book Includes research on influences of decadal variability in solar emissions on the Earth’s climate, with a historical perspective going back several centuries Describes progress in decadal climate predictability and prediction research, with a historical perspective on weather and climate predictability researchThis book is an excellent resource for graduate students, faculty members and other teachers and researchers, and anyone who is interested in learning about a very important component of the puzzle of the changing climate. "This book provides a comprehensive review…. Highlighted throughout the book are potential links between DCV and solar variability, a fascinating topic that has engaged our minds for centuries.Written by an expert with more than 30 years’ experience, this book should be an invaluable resource for students and researchers interested in how our climate will evolve over the coming decades."Doug Smith, Decadal Climate Prediction Leader, Meteorological Office Hadley Centre, UK"This book is a tour de force by the author who has spent his career studying decadal climate variability.He brings new insights to the vast scope of this topic, providing clearly understandable descriptions of the various aspects."Gerald Meehl, Senior Scientist, National Center for Atmospheric Research, Colorado, USA
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An Introduction to Solar Variability : Scales and impact
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Variability and Consistency in Early Language Learning : The Wordbank Project
The Wordbank Project examines variability and consistency in children's language learning across different languages and cultures, drawing on Wordbank, an open database with data from more than 75,000 children and twenty-nine languages or dialects.This big data approach makes the book the most comprehensive cross-linguistic analysis to date of early language learning.Moreover, its data-driven picture of which aspects of language learning are consistent across languages suggests constraints on the nature of children's language learning mechanisms.The book provides both a theoretical framework for scholars of language learning, language, and human cognition, and a resource for future research.
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How do you calculate variability?
Variability can be calculated using measures such as range, variance, and standard deviation. The range is the difference between the highest and lowest values in a dataset. Variance is the average of the squared differences from the mean, while the standard deviation is the square root of the variance. These measures help to quantify the spread or dispersion of data points in a dataset, providing insight into the variability of the data.
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What is genetic variability/diversity?
Genetic variability/diversity refers to the differences in genetic makeup among individuals within a population or species. It is essential for the survival and adaptation of a species to changing environments. Genetic diversity allows for the evolution of new traits and adaptations, increasing the chances of a population's survival in the face of environmental challenges and diseases. Maintaining genetic diversity is crucial for the long-term health and sustainability of a population or species.
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How does infinite variability work?
Infinite variability refers to the concept that there are an infinite number of possible variations or combinations within a given system or set of elements. This means that there is no limit to the potential diversity or range of outcomes that can arise. In practical terms, this means that within any given system or process, there is an endless array of potential configurations, choices, and results. This concept is important in fields such as biology, genetics, and technology, where the potential for variation and diversity is crucial to understanding and harnessing the complexity of natural and artificial systems.
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What is genetic variability and diversity?
Genetic variability refers to the differences in genetic makeup among individuals within a population or species. It is essential for adaptation and evolution as it allows for a range of traits and characteristics to be present within a population. Genetic diversity, on the other hand, refers to the total number of different genetic characteristics in a population. It is important for the long-term survival of a species as it increases the chances of individuals being able to adapt to changing environments and resist diseases.
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Handbook of Engineering Hydrology : Modeling, Climate Change, and Variability
While most books examine only the classical aspects of hydrology, this three-volume set covers multiple aspects of hydrology.It examines new approaches, addresses growing concerns about hydrological and ecological connectivity, and considers the worldwide impact of climate change. It also provides updated material on hydrological science and engineering, discussing recent developments as well as classic approaches.Published in three books, Fundamentals and Applications; Modeling, Climate Change, and Variability; and Environmental Hydrology and Water Management, the entire set consists of 87 chapters, and contains 29 chapters in each book. The chapters in this book contain information on:Climate change and hydrological hazards, hydrological modeling, and urban water systems, as well as climate change impacts on hydrology and water resources, climate change uncertainty, vulnerability, and adaptionRainfall estimation and changes, hydrological changes of mangrove ecosystems, impact of the development of vegetation on flow conditions and flood hazards, urbanization impacts on runoff regime, and discretization in urban watershedsArtificial neural network-based modeling of hydrologic processes, flow and sediment transport modeling in rivers, hybrid hydrological modeling, hydrologic modeling: stochastic processes, and time series analysis of hydrologic dataDam risk and uncertainty, drought indices for drought risk assessment in a changing climate, hydrologic prediction and uncertainty quantification, uncertainty and risk of the PMP and PMFGeostatistics applications in hydrology, GIS applications in a changing climate, GIS-based upland erosion mapping, regional flood frequency analysis, regionalization of hydrological extreme events, remote sensing data and information for hydrological monitoring and modelingApplication of copulas in hydrology, bankfull frequency of rivers, statistical parameters used for assessing hydrological regime, significance of statistical tests and persistence in hydrologic processes Students, practitioners, policy makers, consultants and researchers can benefit from the use of this text.
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Trans : A Quick and Quirky Account of Gender Variability
This title is part of American Studies Now and available as an e-book first.Visit ucpress.edu/go/americanstudiesnow to learn more.In the last decade, public discussions of transgender issues have increased exponentially.However, with this increased visibility has come not just power, but regulation, both in favor of and against trans people.What was once regarded as an unusual or even unfortunate disorder has become an accepted articulation of gendered embodiment as well as a new site for political activism and political recognition.What happened in the last few decades to prompt such an extensive rethinking of our understanding of gendered embodiment?How did a stigmatized identity become so central to US and European articulations of self? And how have people responded to the new definitions and understanding of sex and the gendered body?In Trans*, Jack Halberstam explores these recent shifts in the meaning of the gendered body and representation, and explores the possibilities of a nongendered, gender-optional, or gender-queer future.
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Data Analytics & Visualization All-in-One For Dummies
Install data analytics into your brain with this comprehensive introduction Data Analytics & Visualization All-in-One For Dummies collects the essential information on mining, organizing, and communicating data, all in one place.Clocking in at around 850 pages, this tome of a reference delivers eight books in one, so you can build a solid foundation of knowledge in data wrangling.Data analytics professionals are highly sought after these days, and this book will put you on the path to becoming one.You’ll learn all about sources of data like data lakes, and you’ll discover how to extract data using tools like Microsoft Power BI, organize the data in Microsoft Excel, and visually present the data in a way that makes sense using a Tableau.You’ll even get an intro to the Python, R, and SQL coding needed to take your data skills to a new level.With this Dummies guide, you’ll be well on your way to becoming a priceless data jockey. Mine data from data sourcesOrganize and analyze data Use data to tell a story with TableauExpand your know-how with Python and R New and novice data analysts will love this All-in-One reference on how to make sense of data.Get ready to watch as your career in data takes off.
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Spatial Analysis with R : Statistics, Visualization, and Computational Methods
In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods, many new developments have taken shape regarding the implementation of new tools and methods for spatial analysis with R.The use and growth of artificial intelligence, machine learning and deep learning algorithms with a spatial perspective, and the interdisciplinary use of spatial analysis are all covered in this second edition along with traditional statistical methods and algorithms to provide a concept-based problem-solving learning approach to mastering practical spatial analysis.Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition provides a balance between concepts and practicums of spatial statistics with a comprehensive coverage of the most important approaches to understand spatial data, analyze spatial relationships and patterns, and predict spatial processes.New in the Second Edition: Includes new practical exercises and worked-out examples using R Presents a wide range of hands-on spatial analysis worktables and lab exercises All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods Explains big data, data management, and data miningThis second edition of an established textbook, with new datasets, insights, excellent illustrations, and numerous examples with R, is perfect for senior undergraduate and first-year graduate students in geography and the geosciences.
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What is recombination and genetic variability?
Recombination is the process by which genetic material is exchanged between two similar molecules of DNA, resulting in new combinations of genes. This process occurs during meiosis, the cell division that produces gametes (sperm and egg cells). Genetic variability refers to the diversity of genetic material within a population, which is influenced by factors such as recombination, mutations, and gene flow. Recombination plays a key role in generating genetic variability by creating new combinations of genes, which can lead to increased diversity and adaptation within a population.
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What is the genetic variability in cheetahs?
Cheetahs have very low genetic variability compared to other big cats, with estimates suggesting that they have lost around 90% of their genetic diversity. This is due to a population bottleneck that occurred around 10,000 years ago, reducing their numbers to a small population with limited genetic variation. Low genetic variability can make cheetahs more susceptible to diseases and environmental changes, posing a threat to their long-term survival as a species. Conservation efforts are being made to address this issue and increase genetic diversity in cheetah populations.
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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