Visualizing Geology
Visualizing Geology

Author: Barbara W. Murck

Publisher: John Wiley & Sons

Published: 2015-12-21

Total Pages: 546

ISBN-13: 1118996518

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The newly revised Fourth Edition of Visualizing Geology, WileyPLUS NextGen Card and Loose-leaf Set Single Semester delivers an authoritative and thorough exploration of introductory Earth system science and geology in the distinctive style of the Wiley Visualizing series. Students learn about the three grand geologic cycles – tectonic, rock, and water – and how they interact to create and shape the geologic features we see and experience. This single-semester loose-leaf set includes access to the renowned WileyPLUS NextGen digital learning environment, an indispensable pedagogical addition to any classroom.

Visualizing Psychology
Visualizing Psychology

Author: Siri Carpenter

Publisher: John Wiley & Sons

Published: 2013-01-01

Total Pages: 578

ISBN-13: 1118449789

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This text is an unbound, binder-ready edition. Visualizing Psychology, Third Edition helps students examine their own personal studying and learning styles with several new pedagogical aids--encouraging students to apply what they are learning to their everyday lives while offering ongoing study tips and psychological techniques for mastering the material. Most importantly, students are provided with numerous opportunities to immediately access their understanding.

Visualizing Psychology, 3rd Edition
Visualizing Psychology, 3rd Edition

Author: Siri Carpenter

Publisher: Wiley Global Education

Published: 2012-12-13

Total Pages: 564

ISBN-13: 1118473108

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"This new edition has many new and enhanced features while it continues to rely heavily on the integration of visuals to elucidate concepts to solidify an understanding of them. Examples throughout show how to use psychology in the workplace and in personal relationships, while demonstrating the role psychology plays in other practical everyday issues. This book helps examine personal studying and learning styles with several new pedagogical aids -- encouraging readers to apply what they are learning to their everyday lives"--

Introduction to Python in Earth Science Data Analysis
Introduction to Python in Earth Science Data Analysis

Author: Maurizio Petrelli

Publisher: Springer Nature

Published: 2021-09-16

Total Pages: 229

ISBN-13: 3030780554

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This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.

Python Data Science Handbook
Python Data Science Handbook

Author: Jake VanderPlas

Publisher: "O'Reilly Media, Inc."

Published: 2016-11-21

Total Pages: 609

ISBN-13: 1491912138

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For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms

Essentials of Paleomagnetism
Essentials of Paleomagnetism

Author: Lisa Tauxe

Publisher: Univ of California Press

Published: 2010-03-19

Total Pages: 505

ISBN-13: 0520260317

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"This book by Lisa Tauxe and others is a marvelous tool for education and research in Paleomagnetism. Many students in the U.S. and around the world will welcome this publication, which was previously only available via the Internet. Professor Tauxe has performed a service for teaching and research that is utterly unique."—Neil D. Opdyke, University of Florida

Earth Observation Using Python
Earth Observation Using Python

Author: Rebekah B. Esmaili

Publisher: John Wiley & Sons

Published: 2021-08-24

Total Pages: 308

ISBN-13: 1119606888

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Learn basic Python programming to create functional and effective visualizations from earth observation satellite data sets Thousands of satellite datasets are freely available online, but scientists need the right tools to efficiently analyze data and share results. Python has easy-to-learn syntax and thousands of libraries to perform common Earth science programming tasks. Earth Observation Using Python: A Practical Programming Guide presents an example-driven collection of basic methods, applications, and visualizations to process satellite data sets for Earth science research. Gain Python fluency using real data and case studies Read and write common scientific data formats, like netCDF, HDF, and GRIB2 Create 3-dimensional maps of dust, fire, vegetation indices and more Learn to adjust satellite imagery resolution, apply quality control, and handle big files Develop useful workflows and learn to share code using version control Acquire skills using online interactive code available for all examples in the book 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 about this book from this Q&A with the Author

Earth Observation Data Cubes
Earth Observation Data Cubes

Author: Gregory Giuliani

Publisher: MDPI

Published: 2020-03-16

Total Pages: 302

ISBN-13: 3039280929

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Satellite Earth observation (EO) data have already exceeded the petabyte scale and are increasingly freely and openly available from different data providers. This poses a number of issues in terms of volume (e.g., data volumes have increased 10× in the last 5 years); velocity (e.g., Sentinel-2 is capturing a new image of any given place every 5 days); and variety (e.g., different types of sensors, spatial/spectral resolutions). Traditional approaches to the acquisition, management, distribution, and analysis of EO data have limitations (e.g., data size, heterogeneity, and complexity) that impede their true information potential to be realized. Addressing these big data challenges requires a change of paradigm and a move away from local processing and data distribution methods to lower the barriers caused by data size and related complications in data management. To tackle these issues, EO data cubes (EODC) are a new paradigm revolutionizing the way users can store, organize, manage, and analyze EO data. This Special Issue is consequently aiming to cover the most recent advances in EODC developments and implementations to broaden the use of EO data to larger communities of users, support decision-makers with timely and actionable information converted into meaningful geophysical variables, and ultimately unlock the information power of EO data.