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R and Python for Oceanographers

R and Python for Oceanographers
  • Author : Hakan Alyuruk
  • Publisher :Unknown
  • Release Date :2019-06-09
  • Total pages :186
  • ISBN : 9780128134924
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Summary : R and Python for Oceanographers: A Practical Guide with Applications describes the uses of scientific Python packages and R in oceanographic data analysis, including both script codes and graphic outputs. Each chapter begins with theoretical background that is followed by step-by-step examples of software applications, including scripts, graphics, tables and practical exercises for better understanding of the subject. Examples include frequently used data analysis approaches in physical and chemical oceanography, but also contain topics on data import/export and GIS mapping. The examples seen in book provide uses of the latest versions of Python and R libraries. Presents much needed oceanographic data analysis approaches to chemical and physical oceanography Includes examples with software applications (based on Python and R), including free software for the analysis of oceanographic data Provides guidance on how to get started, along with guidance on example code and output

Data Science Using Python and R

Data Science Using Python and R
  • Author : Chantal D. Larose,Daniel T. Larose
  • Publisher :Unknown
  • Release Date :2019-04-09
  • Total pages :240
  • ISBN : 9781119526810
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Summary : Learn data science by doing data science! Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques. Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining. Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars. Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets.

Python for R Users

Python for R Users
  • Author : Ajay Ohri
  • Publisher :Unknown
  • Release Date :2017-11-13
  • Total pages :368
  • ISBN : 9781119126768
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Summary : The definitive guide for statisticians and data scientists who understand the advantages of becoming proficient in both R and Python The first book of its kind, Python for R Users: A Data Science Approach makes it easy for R programmers to code in Python and Python users to program in R. Short on theory and long on actionable analytics, it provides readers with a detailed comparative introduction and overview of both languages and features concise tutorials with command-by-command translations—complete with sample code—of R to Python and Python to R. Following an introduction to both languages, the author cuts to the chase with step-by-step coverage of the full range of pertinent programming features and functions, including data input, data inspection/data quality, data analysis, and data visualization. Statistical modeling, machine learning, and data mining—including supervised and unsupervised data mining methods—are treated in detail, as are time series forecasting, text mining, and natural language processing. • Features a quick-learning format with concise tutorials and actionable analytics • Provides command-by-command translations of R to Python and vice versa • Incorporates Python and R code throughout to make it easier for readers to compare and contrast features in both languages • Offers numerous comparative examples and applications in both programming languages • Designed for use for practitioners and students that know one language and want to learn the other • Supplies slides useful for teaching and learning either software on a companion website Python for R Users: A Data Science Approach is a valuable working resource for computer scientists and data scientists that know R and would like to learn Python or are familiar with Python and want to learn R. It also functions as textbook for students of computer science and statistics. A. Ohri is the founder of Decisionstats.com and currently works as a senior data scientist. He has advised multiple startups in analytics off-shoring, analytics services, and analytics education, as well as using social media to enhance buzz for analytics products. Mr. Ohri's research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces for cloud computing, investigating climate change and knowledge flows. His other books include R for Business Analytics and R for Cloud Computing.

Climate Mathematics

Climate Mathematics
  • Author : Samuel S. P. Shen,Richard C. J. Somerville
  • Publisher :Unknown
  • Release Date :2019-09-30
  • Total pages :456
  • ISBN : 9781108476874
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Summary : Presents the core mathematics, statistics, and programming skills needed for modern climate science courses, with online teaching materials.

Oceanographic Analysis with R

Oceanographic Analysis with R
  • Author : Dan E. Kelley
  • Publisher :Unknown
  • Release Date :2018-10-17
  • Total pages :290
  • ISBN : 9781493988440
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Summary : This book presents the R software environment as a key tool for oceanographic computations and provides a rationale for using R over the more widely-used tools of the field such as MATLAB. Kelley provides a general introduction to R before introducing the ‘oce’ package. This package greatly simplifies oceanographic analysis by handling the details of discipline-specific file formats, calculations, and plots. Designed for real-world application and developed with open-source protocols, oce supports a broad range of practical work. Generic functions take care of general operations such as subsetting and plotting data, while specialized functions address more specific tasks such as tidal decomposition, hydrographic analysis, and ADCP coordinate transformation. In addition, the package makes it easy to document work, because its functions automatically update processing logs stored within its data objects. Kelley teaches key R functions using classic examples from the history of oceanography, specifically the work of Alfred Redfield, Gordon Riley, J. Tuzo Wilson, and Walter Munk. Acknowledging the pervasive popularity of MATLAB, the book provides advice to users who would like to switch to R. Including a suite of real-life applications and over 100 exercises and solutions, the treatment is ideal for oceanographers, technicians, and students who want to add R to their list of tools for oceanographic analysis.

Oceanography and Coastal Informatics: Breakthroughs in Research and Practice

Oceanography and Coastal Informatics: Breakthroughs in Research and Practice
  • Author : Management Association, Information Resources
  • Publisher :Unknown
  • Release Date :2018-11-02
  • Total pages :469
  • ISBN : 9781522573098
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Summary : To date, a vast amount of the world’s oceans remains uncharted. With water covering more than 70 percent of the Earth’s surface, maritime and oceanographic exploration and research is vital. Oceanography and Coastal Informatics: Breakthroughs in Research and Practice is a critical source of academic knowledge centered on technologies, methodologies, and practices related to the biological and physical aspects of the ocean and coastal environments. This publication is divided into four sections: climate change and environmental concerns; data analysis and management; fisheries management and ecology; and GIS, geospatial analysis, and localization. This publication is an ideal reference source for oceanographers, marine and maritime professionals, researchers, and scholars interested in current research on various aspects of oceanography and coastal informatics.

A Hands-On Introduction to Using Python in the Atmospheric and Oceanic Sciences

A Hands-On Introduction to Using Python in the Atmospheric and Oceanic Sciences
  • Author : Johnny Wei-Bing Lin
  • Publisher :Unknown
  • Release Date :2012
  • Total pages :186
  • ISBN : 9781300076162
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Summary : This book is a mini-course for researchers in the atmospheric and oceanic sciences. "We assume readers will already know the basics of programming... in some other language." - Back cover.

Evaluating Climate Change Impacts

Evaluating Climate Change Impacts
  • Author : Vyacheslav Lyubchich,Yulia Gel,K. Halimeda Kilbourne,Thomas James Miller,Nathaniel K. Newlands,A. Smith
  • Publisher :Unknown
  • Release Date :2020-10-07
  • Total pages :382
  • ISBN : 9781351190817
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Summary : Evaluating Climate Change Impacts discusses assessing and quantifying climate change and its impacts from a multi-faceted perspective of ecosystem, social, and infrastructure resilience, given through a lens of statistics and data science. It provides a multi-disciplinary view on the implications of climate variability and shows how the new data science paradigm can help us to mitigate climate-induced risk and to enhance climate adaptation strategies. This book consists of chapters solicited from leading topical experts and presents their perspectives on climate change effects in two general areas: natural ecosystems and socio-economic impacts. The chapters unveil topics of atmospheric circulation, climate modeling, and long-term prediction; approach the problems of increasing frequency of extreme events, sea level rise, and forest fires, as well as economic losses, analysis of climate impacts for insurance, agriculture, fisheries, and electric and transport infrastructures. The readers will be exposed to the current research using a variety of methods from physical modeling, statistics, and machine learning, including the global circulation models (GCM) and ocean models, statistical generalized additive models (GAM) and generalized linear models (GLM), state space and graphical models, causality networks, Bayesian ensembles, a variety of index methods and statistical tests, and machine learning methods. The reader will learn about data from various sources, including GCM and ocean model outputs, satellite observations, and data collected by different agencies and research units. Many of the chapters provide references to open source software R and Python code that are available for implementing the methods.

Marketing Data Science

Marketing Data Science
  • Author : Thomas W. Miller
  • Publisher :Unknown
  • Release Date :2015-05-02
  • Total pages :225
  • ISBN : 9780133887341
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Summary : Now , a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements of marketing applications in predictive analytics. Writing for both managers and students, Thomas W. Miller explains essential concepts, principles, and theory in the context of real-world applications. Building on Miller's pioneering program, Marketing Data Science thoroughly addresses segmentation, target marketing, brand and product positioning, new product development, choice modeling, recommender systems, pricing research, retail site selection, demand estimation, sales forecasting, customer retention, and lifetime value analysis. Starting where Miller's widely-praised Modeling Techniques in Predictive Analytics left off, he integrates crucial information and insights that were previously segregated in texts on web analytics, network science, information technology, and programming. Coverage includes: The role of analytics in delivering effective messages on the web Understanding the web by understanding its hidden structures Being recognized on the web – and watching your own competitors Visualizing networks and understanding communities within them Measuring sentiment and making recommendations Leveraging key data science methods: databases/data preparation, classical/Bayesian statistics, regression/classification, machine learning, and text analytics Six complete case studies address exceptionally relevant issues such as: separating legitimate email from spam; identifying legally-relevant information for lawsuit discovery; gleaning insights from anonymous web surfing data, and more. This text's extensive set of web and network problems draw on rich public-domain data sources; many are accompanied by solutions in Python and/or R. Marketing Data Science will be an invaluable resource for all students, faculty, and professional marketers who want to use business analytics to improve marketing performance.

Python for Data Science For Dummies

Python for Data Science For Dummies
  • Author : John Paul Mueller,Luca Massaron
  • Publisher :Unknown
  • Release Date :2019-01-29
  • Total pages :496
  • ISBN : 9781119547662
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Summary : The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named after Monty Python—that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the PyGame library. Python For Data Science For Dummies is written for people who are new to data analysis, and discusses the basics of Python data analysis programming and statistics. The book also discusses Google Colab, which makes it possible to write Python code in the cloud. Get started with data science and Python Visualize information Wrangle data Learn from data The book provides the statistical background needed to get started in data science programming, including probability, random distributions, hypothesis testing, confidence intervals, and building regression models for prediction.

SAS for R Users

SAS for R Users
  • Author : Ajay Ohri
  • Publisher :Unknown
  • Release Date :2019-09-24
  • Total pages :208
  • ISBN : 9781119256410
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Summary : BRIDGES THE GAP BETWEEN SAS AND R, ALLOWING USERS TRAINED IN ONE LANGUAGE TO EASILY LEARN THE OTHER SAS and R are widely-used, very different software environments. Prized for its statistical and graphical tools, R is an open-source programming language that is popular with statisticians and data miners who develop statistical software and analyze data. SAS (Statistical Analysis System) is the leading corporate software in analytics thanks to its faster data handling and smaller learning curve. SAS for R Users enables entry-level data scientists to take advantage of the best aspects of both tools by providing a cross-functional framework for users who already know R but may need to work with SAS. Those with knowledge of both R and SAS are of far greater value to employers, particularly in corporate settings. Using a clear, step-by-step approach, this book presents an analytics workflow that mirrors that of the everyday data scientist. This up-to-date guide is compatible with the latest R packages as well as SAS University Edition. Useful for anyone seeking employment in data science, this book: Instructs both practitioners and students fluent in one language seeking to learn the other Provides command-by-command translations of R to SAS and SAS to R Offers examples and applications in both R and SAS Presents step-by-step guidance on workflows, color illustrations, sample code, chapter quizzes, and more Includes sections on advanced methods and applications Designed for professionals, researchers, and students, SAS for R Users is a valuable resource for those with some knowledge of coding and basic statistics who wish to enter the realm of data science and business analytics. AJAY OHRI is the founder of analytics startup Decisionstats.com. His research interests include spreading open source analytics, analyzing social media manipulation with mechanism design, simpler interfaces to cloud computing, investigating climate change, and knowledge flows. He currently advises startups in analytics off shoring, analytics services, and analytics. He is the author of Python for R Users: A Data Science Approach (Wiley), R for Business Analytics, and R for Cloud Computing.

Eddies in Marine Science

Eddies in Marine Science
  • Author : A. R. Robinson
  • Publisher :Unknown
  • Release Date :2012-12-06
  • Total pages :612
  • ISBN : 9783642690037
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Summary : It is now well known that the mid-ocean flow is almost everywhere domi nated by so-called synoptic or meso-scale eddies, rotating about nearly vertical axes and extending throughout the water column. A typical mid ocean horizontal scale is 100 km and a time scale is 100 days: these meso scale eddies have swirl speeds of order 10 cm s -1 which are usually con siderably greater than the long-term average flow. Many types of eddies with somewhat different scales and characteristics have been identified. The existence of such eddies was suspected by navigators more than a century ago and confirmed by the world of C. O'D. Iselin and V. B. Stock man in the 1930's. Measurements from RIV Aries in 1959/60, using the then newly developed neutrally buoyant floats, indicated the main char acteristics of the eddies in the deep ocean of the NW Atlantic while a se ries of Soviet moored current-meter arrays culminated, in POLYGON- 1970, in the explicit mapping of an energetic anticyclonic eddy in the tropical NE Atlantic. In 1973 a large collaborative (mainly U. S. , U. K. ) program, MODE-I, produced synoptic charts for an area of the NW At lantic and confirmed the existence of an open ocean eddy field and es tablished its characteristics. Meso-scale eddies are now known to be of interest and importance to marine chemists and biologists as well as to physical oceanographers and meteorologists.

Ocean Circulation in Three Dimensions

Ocean Circulation in Three Dimensions
  • Author : Barry A. Klinger,Thomas W. N. Haine
  • Publisher :Unknown
  • Release Date :2019-03-31
  • Total pages :494
  • ISBN : 9780521768436
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Summary : An innovative survey of large-scale ocean circulation that links observations, conceptual models, numerical models, and theories.

Observing the Oceans in Real Time

Observing the Oceans in Real Time
  • Author : R. Venkatesan,Amit Tandon,Eric D'Asaro,M. A. Atmanand
  • Publisher :Unknown
  • Release Date :2017-11-17
  • Total pages :323
  • ISBN : 9783319664934
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Summary : This book provides contributions from leading experts on the integration of novel sensing technologies to yield unprecedented observations of coupled biological, chemical, and physical processes in the ocean from the macro to micro scale. Authoritative entries from experts around the globe provide first-hand information for oceanographers and researchers looking for solutions to measurement problems. Ocean observational techniques have seen rapid advances in the last few years and this book addresses the need for a single overview of present and future trends in near real time and real time. First the past, present and future scenarios of ocean observational tools and techniques are elucidated. Then this book divides into three modes of ocean observations: surface, upper ocean and deep ocean. This is followed by data quality and modelling. Collecting a summary of methods and applications, this book provides first-hand information for oceanographers and researchers looking for solutions to measurement problems. This book is also suitable for final year undergraduate students or beginning graduate students in ocean engineering, oceanography and various other engineering students (such as Mechanical, Civil, Electrical, and Bioengineering) who are interested in specializing their skills towards modern measurements of the ocean.

Python For Everyone

Python For Everyone
  • Author : Cay S. Horstmann,Rance D. Necaise
  • Publisher :Unknown
  • Release Date :2019-02-21
  • Total pages :761
  • ISBN : 9781119498612
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Summary : Python for Everyone, 3rd Edition is an introduction to programming designed to serve a wide range of student interests and abilities, focused on the essentials, and on effective learning. It is suitable for a first course in programming for computer scientists, engineers, and students in other disciplines. This text requires no prior programming experience and only a modest amount of high school algebra. Objects are used where appropriate in early chapters and students start designing and implementing their own classes in Chapter 9. New to this edition are examples and exercises that focus on various aspects of data science.

Oceanography and Marine Biology

Oceanography and Marine Biology
  • Author : S. J. Hawkins,A. J. Evans,A.C. Dale,L. B. Firth,I. P. Smith
  • Publisher :Unknown
  • Release Date :2018-11-21
  • Total pages :510
  • ISBN : 9780429845758
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Summary : Key features: Explores the implications of long-term climate change for biogeography and ecological processes in the Southern Ocean Updates knowledge of symbiotic polychaetes in light of the last 20 years of research Considers the adaptions and environments of Antarctic marine biodiversity Examines the false hope of cetacean conservation Reviews work in Mediterranean venting systems releasing carbon dioxide as a model for understanding ocean acidification Looks at the impacts and environmental risks of oil spills of marine invertebrates, algae and seagrass Oceanography and Marine Biology: An Annual Review remains one of the most cited sources in marine science and oceanography. The ever increasing interest in work in oceanography and marine biology and its relevance to global environmental issues, especially global climate change and its impacts, creates a demand for authoritative reviews summarizing the results of recent research. OMBAR has catered to this demand since its foundation more than 50 years ago. Following the favourable reception and complimentary reviews accorded to all the volumes, Volume 56 continues to regard the marine sciences—with all their various aspects—as a unity. Physical, chemical, and biological aspects of marine science are dealt with by experts actively engaged in these fields, and every chapter is peer-reviewed by other experts working actively in the specific areas of interest. The series is an essential reference text for researchers and students in all fields of marine science and related subjects, and it finds a place in libraries of universities, marine laboratories, research institutes and government departments. It is consistently among the highest ranking series in terms of impact factor in the marine biology category of the citation indices compiled by the Institute for Scientific Information/Web of Science. Two chapters are available to read Open Access on our Routledge website at https://www.routledge.com/9781138318625

Carbon and Nutrient Fluxes in Continental Margins

Carbon and Nutrient Fluxes in Continental Margins
  • Author : Kon-Kee Liu,Larry Atkinson,Renato Quiñones,Liana Talaue-McManus
  • Publisher :Unknown
  • Release Date :2010-02-11
  • Total pages :741
  • ISBN : 3540927352
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Summary : This book is a product of the joint JGOFS (Joint Global Ocean Flux Study)/LOICZ (Land–Ocean Interactions in the Coastal Zone) Continental Margins Task Team which was established to facilitate continental margins research in the two projects. It contains signi cant information on the physical, biogeochemical, and ecosystems of continental margins nationally and regionally and provides a very valuable synthesis of this information and the physical, biogeochemical and ecosystem processes which occur on continental margins. The publication of this book is timely as it provides a very strong foundation for the development of the joint IMBER (Integrated Marine Biogeochemistry and Ecosystems Research)/LOICZ Science Plan and Implemen- tion Strategy for biogeochemical and ecosystems research in the continental margins and the impacts of global change on these systems. This initiative will move forward integrated biogeochemical and ecosystems research in the continental margins. We thank all the contributors to this volume and especially Kon-Kee Liu who has dedicated a great deal of time to ensuring a high-quality book is published. IMBER Scienti c Steering Committee Julie Hall LOICZ Scienti c Steering Committee Jozef Pacyna v 1 Preface In general, interfaces between the Earth’s larger material reservoirs (i. e. , the land, atmosphere, ocean, and sediments) are important in the control of the biogeoche- cal dynamics and cycling of the major bio-essential elements, including carbon (C), nitrogen (N), phosphorus (P), sulfur (S), and silicon (Si), found in organic matter and the inorganic skeletons, shells, and tests of benthic and marine organisms.

Encyclopedia of Marine Sciences

Encyclopedia of Marine Sciences
  • Author : Hanneke J.G. Baretta-Bekker,Egbert K. Duursma,Bouwe R. Kuipers
  • Publisher :Unknown
  • Release Date :1998-09-24
  • Total pages :357
  • ISBN : 3540626751
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Summary : The multidisciplinary nature of marine sciences (Geology, Biology, Physics, Chemistry, and Oceanography) is reflected in this references 1,980 up-to-date, alphabetically listed keywords with illustrations. These keywords provide valuable time-saving assistance when studying marine scientific literature. The brief explanation of the concepts, terminology, and methods makes this book more valuable than a pure glossary or dictionary.

Data Science Programming All-In-One For Dummies

Data Science Programming All-In-One For Dummies
  • Author : John Paul Mueller,Luca Massaron
  • Publisher :Unknown
  • Release Date :2020-01-09
  • Total pages :768
  • ISBN : 9781119626114
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Summary : Your logical, linear guide to the fundamentals of data science programming Data science is exploding—in a good way—with a forecast of 1.7 megabytes of new information created every second for each human being on the planet by 2020 and 11.5 million job openings by 2026. It clearly pays dividends to be in the know. This friendly guide charts a path through the fundamentals of data science and then delves into the actual work: linear regression, logical regression, machine learning, neural networks, recommender engines, and cross-validation of models. Data Science Programming All-In-One For Dummies is a compilation of the key data science, machine learning, and deep learning programming languages: Python and R. It helps you decide which programming languages are best for specific data science needs. It also gives you the guidelines to build your own projects to solve problems in real time. Get grounded: the ideal start for new data professionals What lies ahead: learn about specific areas that data is transforming Be meaningful: find out how to tell your data story See clearly: pick up the art of visualization Whether you’re a beginning student or already mid-career, get your copy now and add even more meaning to your life—and everyone else’s!

Marine Geology and Oceanography of the Pacific Manganese Nodule Province

Marine Geology and Oceanography of the Pacific Manganese Nodule Province
  • Author : James L. Bischoff,David Z. Piper
  • Publisher :Unknown
  • Release Date :2013-03-08
  • Total pages :855
  • ISBN : 9781468435184
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Summary : Deep-sea manganese nodules, once an obscure scientific curios ity, have, in the brief span of two decades, become a potential mineral resource of major importance. Nodules that cover the sea floor of the tropical North Pacific may represent a vast ore de posit of manganese, nickel, cobalt, and copper. Modern technology has apparently surmounted the incredible problem of recovering nodules in water depths of 5000 meters and the extraction of metals from the complex chemical nodule matrix is a reality. Both the recovery and the extraction appear to be economically feasible. Exploitation of this resource is, however, hindered more by the lack of an international legal structure allowing for recognition of mining sites and exploitation rights, than by any other factor. Often, when a mineral deposit becomes identified as an ex ploitable resource, scientific study burgeons. Interest in the nature and genesis of the deposit increases and much is learned from large scale exploration. The case is self evident for petrol eum and ore deposits on land. The study of manganese nodules is just now entering this phase. What was the esoteric field of a few scientists has become the subject of active exploration and research by most of the industrialized nations. Unfortunately for our general understanding of manganese nodules, exploration results remain largely proprietary. However, scientific study has greatly increased and the results are becoming widely available.

Ocean Weather Forecasting

Ocean Weather Forecasting
  • Author : Eric P. Chassignet,Jacques Verron
  • Publisher :Unknown
  • Release Date :2006-02-02
  • Total pages :577
  • ISBN : 1402039816
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Summary : This volume covers a wide range of topics and summarizes our present knowledge in ocean modeling, ocean observing systems, and data assimilation. The Global Ocean Data Assimilation Experiment (GODAE) provides a framework for these efforts: a global system of observations, communications, modeling, and assimilation that will deliver regular, comprehensive information on the state of the oceans, engendering wide utility and availability for maximum benefit to the community.