R And Python For Oceanographers

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R and Python for Oceanographers

Author : Hakan Alyuruk
Publisher : Elsevier
Page : 186 pages
File Size : 48,6 Mb
Release : 2019-06-09
Category : Science
ISBN : 9780128134924

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R and Python for Oceanographers by Hakan Alyuruk Pdf

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

Oceanographic Analysis with R

Author : Dan E. Kelley
Publisher : Springer
Page : 290 pages
File Size : 43,6 Mb
Release : 2018-10-17
Category : Medical
ISBN : 9781493988440

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Oceanographic Analysis with R by Dan E. Kelley Pdf

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.

Chemical Oceanography

Author : Steven R. Emerson,Roberta C. Hamme
Publisher : Cambridge University Press
Page : 403 pages
File Size : 47,5 Mb
Release : 2022-04-07
Category : Science
ISBN : 9781107179899

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Chemical Oceanography by Steven R. Emerson,Roberta C. Hamme Pdf

A broad, clear introductory textbook on chemical oceanography for undergraduate and graduate students and a reference text for researchers.

Chemical Oceanography

Author : Frank J. Millero
Publisher : CRC Press
Page : 594 pages
File Size : 45,7 Mb
Release : 2016-04-19
Category : Science
ISBN : 9781482211825

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Chemical Oceanography by Frank J. Millero Pdf

Over the past ten years, a number of new large-scale oceanographic programs have been initiated. These include the Climate Variability Program (CLIVAR) and the recent initiation of the Geochemical Trace Metal Program (GEOTRACES). These studies and future projects will produce a wealth of information on the biogeochemistry of the world's oceans. Aut

Oceanographic and Marine Cross-Domain Data Management for Sustainable Development

Author : Diviacco, Paolo,Leadbetter, Adam,Glaves, Helen
Publisher : IGI Global
Page : 425 pages
File Size : 42,5 Mb
Release : 2016-09-23
Category : Science
ISBN : 9781522507017

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Oceanographic and Marine Cross-Domain Data Management for Sustainable Development by Diviacco, Paolo,Leadbetter, Adam,Glaves, Helen Pdf

As human activity makes a greater impact on the environment, sustainability becomes an increasingly imperative goal. With the assistance of current technological innovations, environmental systems can be better preserved. Oceanographic and Marine Cross-Domain Data Management for Sustainable Development is a pivotal resource for the latest research on the collection of environmental data for sustainability initiatives and the associate challenges with this data acquisition. Highlighting various technological, scientific, semantic, and semiotic perspectives, this book is ideally designed for researchers, technology developers, practitioners, students, and professionals in the field of environmental science and technology.

Python for R Users

Author : Ajay Ohri
Publisher : John Wiley & Sons
Page : 369 pages
File Size : 45,5 Mb
Release : 2017-11-13
Category : Computers
ISBN : 9781119126768

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Python for R Users by Ajay Ohri Pdf

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.

Matplotlib for Python Developers

Author : Sandro Tosi
Publisher : Packt Publishing Ltd
Page : 438 pages
File Size : 53,6 Mb
Release : 2009-11-09
Category : Computers
ISBN : 9781847197917

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Matplotlib for Python Developers by Sandro Tosi Pdf

This is a practical, hands-on book, with a lot of code and images. It presents the real code that generates every image and describes almost every single line of it, so that you know exactly what's going on. Introductory, descriptive, and theoretical parts are mixed with examples, so that reading and understanding them is easy. All of the examples build gradually with code snippets, their explanations, and plot images where necessary with the complete code and output presented at the end. This book is essentially for Python developers who have a good knowledge of Python; no knowledge of Matplotlib is required. You will be creating 2D plots using Matplotlib in no time at all.

Evaluating Climate Change Impacts

Author : Vyacheslav Lyubchich,Yulia Gel,K. Halimeda Kilbourne,Thomas James Miller,Nathaniel K. Newlands,Adam B. Smith
Publisher : CRC Press
Page : 395 pages
File Size : 46,5 Mb
Release : 2020-10-06
Category : Mathematics
ISBN : 9781351190824

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Evaluating Climate Change Impacts by Vyacheslav Lyubchich,Yulia Gel,K. Halimeda Kilbourne,Thomas James Miller,Nathaniel K. Newlands,Adam B. Smith Pdf

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 reader 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.

Recent Advances and Issues in Oceanography

Author : C. Reid Nichols,David Larsen Porter,Robert G. Williams
Publisher : Greenwood
Page : 0 pages
File Size : 41,8 Mb
Release : 2003-06-30
Category : Science
ISBN : 9781573564069

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Recent Advances and Issues in Oceanography by C. Reid Nichols,David Larsen Porter,Robert G. Williams Pdf

This volume describes and evaluates the major current research developments in the ocean sciences. Annotation. This volume presents the people, technology, and discoveries that mark the highlights of oceanography. Designed for the popular reader or the beginning undergraduate, the text contains accessible descriptions of the science, including a chapter that highlights major problems and questions and a chronology of recent investigations. Much of the volume provides practical information about oceanography as a career, with short biographies of 35 oceanographers (all are in the US), statistics on careers and research and development, and descriptions of professional organizations and journals.

Modern Observational Physical Oceanography

Author : Carl Wunsch
Publisher : Princeton University Press
Page : 511 pages
File Size : 50,6 Mb
Release : 2015-05-04
Category : Science
ISBN : 9780691158822

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Modern Observational Physical Oceanography by Carl Wunsch Pdf

The essential introduction to modern physical oceanography With the advent of computers, novel instruments, satellite technology, and increasingly powerful modeling tools, we know more about the ocean than ever before. Yet we also have a new generation of oceanographers who have become increasingly distanced from the object of their study. Ever fewer scientists collect the observational data on which they base their research. Instead, many download information without always fully understanding how far removed it is from the original data, with opportunity for great misinterpretation. This textbook introduces modern physical oceanography to beginning graduate students in marine sciences and experienced practitioners in allied fields. Real observations are strongly emphasized, as are their implications for understanding the behavior of the global ocean. Written by a leading physical oceanographer, Modern Observational Physical Oceanography explains what the observational revolution of the past twenty-five years has taught us about the real, changing fluid ocean. Unlike any other book, it provides a broad and accessible treatment of the subject, covering everything from modern methods of observation and data analysis to the fluid dynamics and modeling of ocean processes and variability. Fully illustrated in color throughout, the book describes the fundamental concepts that are needed before delving into more advanced topics, including internal-inertial waves, tides, balanced motions, and large-scale circulation physics. Provides an accessible introduction to modern physical oceanography Written by a leading physical oceanographer Emphasizes real observations of the fluid ocean Features hundreds of color illustrations An online illustration package is available to professors

Applied Spatial Data Analysis with R

Author : Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio
Publisher : Springer Science & Business Media
Page : 414 pages
File Size : 54,5 Mb
Release : 2013-06-21
Category : Medical
ISBN : 9781461476184

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Applied Spatial Data Analysis with R by Roger S. Bivand,Edzer Pebesma,Virgilio Gómez-Rubio Pdf

Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.

Introduction to Scientific Programming with Python

Author : Joakim Sundnes
Publisher : Unknown
Page : 157 pages
File Size : 41,7 Mb
Release : 2020
Category : Computer programming
ISBN : 9783030503567

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Introduction to Scientific Programming with Python by Joakim Sundnes Pdf

This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies.

Ocean Solutions, Earth Solutions

Author : Dawn J. Wright
Publisher : ESRI Press
Page : 507 pages
File Size : 50,8 Mb
Release : 2016
Category : NATURE
ISBN : 1589484606

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Ocean Solutions, Earth Solutions by Dawn J. Wright Pdf

This book showcases the latest and best oceanography research using spatial analyses and geographic information systems. This is the leading, most up-to-date book on the subject.

Free Software, Free Society

Author : Richard Stallman
Publisher : Lulu.com
Page : 188 pages
File Size : 42,9 Mb
Release : 2002
Category : Law
ISBN : 9781882114986

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Free Software, Free Society by Richard Stallman Pdf

Essay Collection covering the point where software, law and social justice meet.

Observing the Oceans in Real Time

Author : R. Venkatesan,Amit Tandon,Eric D'Asaro,M. A. Atmanand
Publisher : Springer
Page : 0 pages
File Size : 50,8 Mb
Release : 2018-06-23
Category : Science
ISBN : 3319882554

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Observing the Oceans in Real Time by R. Venkatesan,Amit Tandon,Eric D'Asaro,M. A. Atmanand Pdf

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.