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Author : Timothy J. Brown
Publisher :
ISBN 13 :
Total Pages : 80 pages
Book Rating : 4.:/5 (248 download)
Download or read book Statistical Mining and Data Visualization in Atmospheric Sciences written by Timothy J. Brown and published by . This book was released on 2000 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Timothy J. Brown
Publisher : Springer Science & Business Media
ISBN 13 : 1475765819
Total Pages : 77 pages
Book Rating : 4.4/5 (757 download)
Download or read book Statistical Mining and Data Visualization in Atmospheric Sciences written by Timothy J. Brown and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 77 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Mining and Data Visualization in Atmospheric Sciences brings together in one place important contributions and up-to-date research results in this fast moving area. Statistical Mining and Data Visualization in Atmospheric Sciences serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Author : Samual S. P. Shen
Publisher : Cambridge University Press
ISBN 13 : 1108842577
Total Pages : 415 pages
Book Rating : 4.1/5 (88 download)
Download or read book Statistics and Data Visualization in Climate Science with R and Python written by Samual S. P. Shen and published by Cambridge University Press. This book was released on 2023-11-30 with total page 415 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive overview of essential statistical concepts, useful statistical methods, data visualization, and modern computing tools for the climate sciences and many others such as geography and environmental engineering. It is an invaluable reference for students and researchers in climatology and its connected fields who wish to learn data science, statistics, R and Python programming. The examples and exercises in the book empower readers to work on real climate data from station observations, remote sensing and simulated results. For example, students can use R or Python code to read and plot the global warming data and the global precipitation data in netCDF, csv, txt, or JSON; and compute and interpret empirical orthogonal functions. The book's computer code and real-world data allow readers to fully utilize the modern computing technology and updated datasets. Online supplementary resources include R code and Python code, data files, figure files, tutorials, slides and sample syllabi.
Author : Daniel S. Wilks
Publisher : Elsevier
ISBN 13 : 0128165278
Total Pages : 840 pages
Book Rating : 4.1/5 (281 download)
Download or read book Statistical Methods in the Atmospheric Sciences written by Daniel S. Wilks and published by Elsevier. This book was released on 2019-06-09 with total page 840 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical Methods in the Atmospheric Sciences, Fourth Edition, continues the tradition of trying to meet the needs of students, researchers and operational practitioners. This updated edition not only includes expanded sections built upon the strengths of the prior edition, but also provides new content where there have been advances in the field, including Bayesian analysis, forecast verification and a new chapter dedicated to ensemble forecasting. Provides a strong, yet concise, introduction to applied statistics that is specific to atmospheric science Contains revised and expanded sections on nonparametric tests, test multiplicity and quality uncertainty descriptors Includes new sections on ANOVA, quantile regression, the lasso and other regularization methods, regression trees, changepoint detection, ensemble forecasting and exponential smoothing
Author : Vladimir M. Krasnopolsky
Publisher : Springer Science & Business Media
ISBN 13 : 9400760736
Total Pages : 205 pages
Book Rating : 4.4/5 (7 download)
Download or read book The Application of Neural Networks in the Earth System Sciences written by Vladimir M. Krasnopolsky and published by Springer Science & Business Media. This book was released on 2013-06-14 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book brings together a representative set of Earth System Science (ESS) applications of the neural network (NN) technique. It examines a progression of atmospheric and oceanic problems, which, from the mathematical point of view, can be formulated as complex, multidimensional, and nonlinear mappings. It is shown that these problems can be solved utilizing a particular type of NN – the multilayer perceptron (MLP). This type of NN applications covers the majority of NN applications developed in ESSs such as meteorology, oceanography, atmospheric and oceanic satellite remote sensing, numerical weather prediction, and climate studies. The major properties of the mappings and MLP NNs are formulated and discussed. Also, the book presents basic background for each introduced application and provides an extensive set of references. “This is an excellent book to learn how to apply artificial neural network methods to earth system sciences. The author, Dr. Vladimir Krasnopolsky, is a universally recognized master in this field. With his vast knowledge and experience, he carefully guides the reader through a broad variety of problems found in the earth system sciences where neural network methods can be applied fruitfully. (...) The broad range of topics covered in this book ensures that researchers/graduate students from many fields (...) will find it an invaluable guide to neural network methods.” (Prof. William W. Hsieh, University of British Columbia, Vancouver, Canada) “Vladimir Krasnopolsky has been the “founding father” of applying computation intelligence methods to environmental science; (...) Dr. Krasnopolsky has created a masterful exposition of a young, yet maturing field that promises to advance a deeper understanding of best modeling practices in environmental science.” (Dr. Sue Ellen Haupt, National Center for Atmospheric Research, Boulder, USA) “Vladimir Krasnopolsky has written an important and wonderful book on applications of neural networks to replace complex and expensive computational algorithms within Earth System Science models. He is uniquely qualified to write this book, since he has been a true pioneer with regard to many of these applications. (...) Many other examples of creative emulations will inspire not just readers interested in the Earth Sciences, but any other modeling practitioner (...) to address both theoretical and practical complex problems that may (or will!) arise in a complex system." ” (Prof. Eugenia Kalnay, University of Maryland, USA)
Author : Daniel S. Wilks
Publisher : Elsevier
ISBN 13 : 9780080541723
Total Pages : 467 pages
Book Rating : 4.5/5 (417 download)
Download or read book Statistical Methods in the Atmospheric Sciences written by Daniel S. Wilks and published by Elsevier. This book was released on 1995-03-01 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces and explains the statistical methods used to describe, analyze, test, and forecast atmospheric data. It will be useful to students, scientists, and other professionals who seek to make sense of the scientific literature in meteorology, climatology, or other geophysical disciplines, or to understand and communicate what their atmospheric data sets have to say. The book includes chapters on exploratory data analysis, probability distributions, hypothesis testing, statistical weather forecasting, forecast verification, time(series analysis, and multivariate data analysis. Worked examples, exercises, and illustrations facilitate understanding of the material; an extensive and up-to-date list of references allows the reader to pursue selected topics in greater depth. Key Features * Presents and explains techniques used in atmospheric data summarization, analysis, testing, and forecasting * Includes extensive and up-to-date references * Features numerous worked examples and exercises * Contains over 130 illustrations
Author : Abdelwaheb Hannachi
Publisher : Springer Nature
ISBN 13 : 3030670732
Total Pages : 600 pages
Book Rating : 4.0/5 (36 download)
Download or read book Patterns Identification and Data Mining in Weather and Climate written by Abdelwaheb Hannachi and published by Springer Nature. This book was released on 2021-05-06 with total page 600 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in computer power and observing systems has led to the generation and accumulation of large scale weather & climate data begging for exploration and analysis. Pattern Identification and Data Mining in Weather and Climate presents, from different perspectives, most available, novel and conventional, approaches used to analyze multivariate time series in climate science to identify patterns of variability, teleconnections, and reduce dimensionality. The book discusses different methods to identify patterns of spatiotemporal fields. The book also presents machine learning with a particular focus on the main methods used in climate science. Applications to atmospheric and oceanographic data are also presented and discussed in most chapters. To help guide students and beginners in the field of weather & climate data analysis, basic Matlab skeleton codes are given is some chapters, complemented with a list of software links toward the end of the text. A number of technical appendices are also provided, making the text particularly suitable for didactic purposes. The topic of EOFs and associated pattern identification in space-time data sets has gone through an extraordinary fast development, both in terms of new insights and the breadth of applications. We welcome this text by Abdel Hannachi who not only has a deep insight in the field but has himself made several contributions to new developments in the last 15 years. - Huug van den Dool, Climate Prediction Center, NCEP, College Park, MD, U.S.A. Now that weather and climate science is producing ever larger and richer data sets, the topic of pattern extraction and interpretation has become an essential part. This book provides an up to date overview of the latest techniques and developments in this area. - Maarten Ambaum, Department of Meteorology, University of Reading, U.K. This nicely and expertly written book covers a lot of ground, ranging from classical linear pattern identification techniques to more modern machine learning, illustrated with examples from weather & climate science. It will be very valuable both as a tutorial for graduate and postgraduate students and as a reference text for researchers and practitioners in the field. - Frank Kwasniok, College of Engineering, University of Exeter, U.K.
Author : Erickson, John
Publisher : IGI Global
ISBN 13 : 1605660590
Total Pages : 2962 pages
Book Rating : 4.6/5 (56 download)
Download or read book Database Technologies: Concepts, Methodologies, Tools, and Applications written by Erickson, John and published by IGI Global. This book was released on 2009-02-28 with total page 2962 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This reference expands the field of database technologies through four-volumes of in-depth, advanced research articles from nearly 300 of the world's leading professionals"--Provided by publisher.
Author : Allan Murphy
Publisher : CRC Press
ISBN 13 : 1000236323
Total Pages : 547 pages
Book Rating : 4.0/5 (2 download)
Download or read book Probability, Statistics, And Decision Making In The Atmospheric Sciences written by Allan Murphy and published by CRC Press. This book was released on 2019-07-11 with total page 547 pages. Available in PDF, EPUB and Kindle. Book excerpt: Methodology drawn from the fields of probability. statistics and decision making plays an increasingly important role in the atmosphericsciences. both in basic and applied research and in experimental and operational studies. Applications of such methodology can be found in almost every facet of the discipline. from the most theoretical and global (e.g., atmospheric predictability. global climate modeling) to the most practical and local (e.g., crop-weather modeling forecast evaluation). Almost every issue of the multitude of journals published by the atmospheric sciences community now contain some or more papers involving applications of concepts and/or methodology from the fields of probability and statistics. Despite the increasingly pervasive nature of such applications. very few book length treatments of probabilistic and statistical topics of particular interest to atmospheric scientists have appeared (especially inEnglish) since the publication of the pioneering works of Brooks andCarruthers (Handbook of Statistical Methods in Meteorology) in 1953 and Panofsky and Brier-(some Applications of)statistics to Meteor) in 1958. As a result. many relatively recent developments in probability and statistics are not well known to atmospheric scientists and recent work in active areas of meteorological research involving significant applications of probabilistic and statistical methods are not familiar to the meteorological community as a whole.
Author : Information Today, Inc
Publisher : Information Today
ISBN 13 : 9781573871310
Total Pages : 736 pages
Book Rating : 4.8/5 (713 download)
Download or read book Annual Review of Information and Science Technology (ARIST) written by Information Today, Inc and published by Information Today. This book was released on 2002 with total page 736 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reviews numerous topics within the broad field of information science and technology and provides this annual source of ideas, trends, and references to the literature.
Author : Jesus Labarta
Publisher : Springer
ISBN 13 : 3540777040
Total Pages : 528 pages
Book Rating : 4.5/5 (47 download)
Download or read book High-Performance Computing written by Jesus Labarta and published by Springer. This book was released on 2008-01-19 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint post-conference proceedings of the 6th International Symposium on High-Performance Computing, ISHPC 2005, held in, Japan, in 2005. It also includes the refereed post-proceedings of the First International Workshop on Advanced Low Power Systems 2006, ALPS2006, and some from the Workshop on Applications for PetaFLOPS Computing, APC 2005. A total of 42 papers were carefully selected from 76 submissions, covering a huge range of topics.
Author : Yuichi Mori
Publisher : Springer Science & Business Media
ISBN 13 : 9783540404644
Total Pages : 1096 pages
Book Rating : 4.4/5 (46 download)
Download or read book Handbook of Computational Statistics written by Yuichi Mori and published by Springer Science & Business Media. This book was released on 2004-07-14 with total page 1096 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Statistics: Concepts and Methodology is divided into four parts. It begins with an overview over the field of Computational Statistics. The second part presents several topics in the supporting field of statistical computing. Emphasis is placed on the need of fast and accurate numerical algorithms and it discusses some of the basic methodologies for transformation, data base handling and graphics treatment. The third part focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Finally a set of selected applications like Bioinformatics, Medical Imaging, Finance and Network Intrusion Detection highlight the usefulness of computational statistics.
Author : James E. Gentle
Publisher : Springer Science & Business Media
ISBN 13 : 3642215513
Total Pages : 1180 pages
Book Rating : 4.6/5 (422 download)
Download or read book Handbook of Computational Statistics written by James E. Gentle and published by Springer Science & Business Media. This book was released on 2012-07-06 with total page 1180 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Computational Statistics - Concepts and Methods (second edition) is a revision of the first edition published in 2004, and contains additional comments and updated information on the existing chapters, as well as three new chapters addressing recent work in the field of computational statistics. This new edition is divided into 4 parts in the same way as the first edition. It begins with "How Computational Statistics became the backbone of modern data science" (Ch.1): an overview of the field of Computational Statistics, how it emerged as a separate discipline, and how its own development mirrored that of hardware and software, including a discussion of current active research. The second part (Chs. 2 - 15) presents several topics in the supporting field of statistical computing. Emphasis is placed on the need for fast and accurate numerical algorithms, and some of the basic methodologies for transformation, database handling, high-dimensional data and graphics treatment are discussed. The third part (Chs. 16 - 33) focuses on statistical methodology. Special attention is given to smoothing, iterative procedures, simulation and visualization of multivariate data. Lastly, a set of selected applications (Chs. 34 - 38) like Bioinformatics, Medical Imaging, Finance, Econometrics and Network Intrusion Detection highlight the usefulness of computational statistics in real-world applications.
Author : Thomas Huang
Publisher : John Wiley & Sons
ISBN 13 : 1119467535
Total Pages : 356 pages
Book Rating : 4.1/5 (194 download)
Download or read book Big Data Analytics in Earth, Atmospheric, and Ocean Sciences written by Thomas Huang and published by John Wiley & Sons. This book was released on 2022-10-14 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applying tools for data analysis to the rapidly increasing volume of data about the Earth An ever-increasing volume of Earth data is being gathered. These data are “big” not only in size but also in their complexity, different formats, and varied scientific disciplines. As such, big data are disrupting traditional research. New methods and platforms, such as the cloud, are tackling these new challenges. Big Data Analytics in Earth, Atmospheric, and Ocean Sciences explores new tools for the analysis and display of the rapidly increasing volume of data about the Earth. Volume highlights include: An introduction to the breadth of big earth data analytics Architectures developed to support big earth data analytics Different analysis and statistical methods for big earth data Current applications of analytics to Earth science data Challenges to fully implementing big data analytics The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals. Find out more in this Q&A with the editors.
Author :
Publisher :
ISBN 13 :
Total Pages : 1872 pages
Book Rating : 4.F/5 ( download)
Download or read book American Book Publishing Record written by and published by . This book was released on 2000-07 with total page 1872 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Xavier Sanchez-Vila
Publisher : Springer Science & Business Media
ISBN 13 : 1402021151
Total Pages : 541 pages
Book Rating : 4.4/5 (2 download)
Download or read book geoENV IV — Geostatistics for Environmental Applications written by Xavier Sanchez-Vila and published by Springer Science & Business Media. This book was released on 2006-04-11 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth edition of the European Conference on Geostatistics for Environmental Applications (geoENV IV) took place in Barcelona, November 27-29, 2002. As a proof that there is an increasing interest in environmental issues in the geostatistical community, the conference attracted over 100 participants, mostly Europeans (up to 10 European countries were represented), but also from other countries in the world. Only 46 contributions, selected out of around 100 submitted papers, were invited to be presented orally during the conference. Additionally 30 authors were invited to present their work in poster format during a special session. All oral and poster contributors were invited to submit their work to be considered for publication in this Kluwer series. All papers underwent a reviewing process, which consisted on two reviewers for oral presentations and one reviewer for posters. The book opens with one keynote paper by Philippe Naveau. It is followed by 40 papers that correspond to those presented orally during the conference and accepted by the reviewers. These papers are classified according to their main topic. The list of topics show the diversity of the contributions and the fields of application. At the end of the book, summaries of up to 19 poster presentations are added. The geoENV conferences stress two issues, namely geostatistics and environmental applications. Thus, papers can be classified into two groups.
Author :
Publisher : Elsevier
ISBN 13 : 9780080459400
Total Pages : 800 pages
Book Rating : 4.4/5 (594 download)
Download or read book Data Mining and Data Visualization written by and published by Elsevier. This book was released on 2005-05-02 with total page 800 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Mining and Data Visualization focuses on dealing with large-scale data, a field commonly referred to as data mining. The book is divided into three sections. The first deals with an introduction to statistical aspects of data mining and machine learning and includes applications to text analysis, computer intrusion detection, and hiding of information in digital files. The second section focuses on a variety of statistical methodologies that have proven to be effective in data mining applications. These include clustering, classification, multivariate density estimation, tree-based methods, pattern recognition, outlier detection, genetic algorithms, and dimensionality reduction. The third section focuses on data visualization and covers issues of visualization of high-dimensional data, novel graphical techniques with a focus on human factors, interactive graphics, and data visualization using virtual reality. This book represents a thorough cross section of internationally renowned thinkers who are inventing methods for dealing with a new data paradigm. Distinguished contributors who are international experts in aspects of data mining Includes data mining approaches to non-numerical data mining including text data, Internet traffic data, and geographic data Highly topical discussions reflecting current thinking on contemporary technical issues, e.g. streaming data Discusses taxonomy of dataset sizes, computational complexity, and scalability usually ignored in most discussions Thorough discussion of data visualization issues blending statistical, human factors, and computational insights
