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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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Nonlinear Optics
Nonlinear Optics, Fourth Edition, is a tutorial-based introduction to nonlinear optics that is suitable for graduate-level courses in electrical and electronic engineering, and for electronic and computer engineering departments, physics departments, and as a reference for industry practitioners of nonlinear optics.It will appeal to a wide audience of optics, physics and electrical and electronic engineering students, as well as practitioners in related fields, such as materials science and chemistry.
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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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Mapping Society : The Spatial Dimensions of Social Cartography
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What exactly is optics?
Optics is the branch of physics that deals with the behavior and properties of light, including its interactions with matter and the instruments used to detect and manipulate it. It encompasses the study of how light is generated, transmitted, refracted, reflected, and absorbed. Optics plays a crucial role in various fields such as astronomy, photography, microscopy, and telecommunications. By understanding the principles of optics, scientists and engineers can develop technologies that harness the power of light for a wide range of applications.
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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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What is optics in physics?
Optics in physics is the branch of science that deals with the behavior and properties of light. It focuses on the study of how light interacts with different materials and how it is reflected, refracted, and dispersed. Optics also explores the production and detection of light, as well as the various applications of light in technologies such as cameras, microscopes, and lasers.
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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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Introductory Quantum Optics
This established textbook provides an accessible but comprehensive introduction to the quantum nature of light and its interaction with matter.The field of quantum optics is covered with clarity and depth, from the underlying theoretical framework of field quantization, atom–field interactions, and quantum coherence theory, to important and modern applications at the forefront of current research such as quantum interferometry, squeezed light, quantum entanglement, cavity quantum electrodynamics, laser-cooled trapped ions, and quantum information processing.The text is suitable for advanced undergraduate and graduate students and would be an ideal main text for a course on quantum optics.This long-awaited second edition builds upon the success of the first edition, including many new developments in the field, particularly in the area of quantum state engineering.Additional homework problems have been added, and content from the first edition has been updated and clarified throughout.
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Optics For Dummies
The easy way to shed light on Optics In general terms, optics is the science of light.More specifically, optics is a branch of physics that describes the behavior and properties of light?including visible, infrared, and ultraviolet?and the interaction of light with matter. Optics For Dummies gives you an approachable introduction to optical science, methods, and applications.You'll get plain-English explanations of the nature of light and optical effects; reflection, refraction, and diffraction; color dispersion; optical devices, industrial, medical, and military applications; as well as laser light fundamentals. Tracks a typical undergraduate optics courseDetailed explanations of concepts and summaries of equationsValuable tips for study from college professors If you're taking an optics course for your major in physics or engineering, let Optics For Dummies shed light on the subject and help you succeed!
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Spatial Epidemiological Approaches in Disease Mapping and Analysis
Containing method descriptions and step-by-step procedures, the Spatial Epidemiological Approaches in Disease Mapping and Analysis equips readers with skills to prepare health-related data in the proper format, process these data using relevant functions and software, and display the results as mapped or statistical summaries.Describing the wide range of available methods and key GIS concepts for spatial epidemiology, this book illustrates the utilities of the software using real-world data.Additional topics include geographic data models, address matching, geostatistical analysis, universal kriging, point pattern analysis, kernel density, spatio-temporal display, and disease surveillance.
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Crime Mapping and Spatial Data Analysis using R
Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis.This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis.It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis.It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence.In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data.We then introduce a series of tools to study spatial homogeneity and dependence.A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation.The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space.In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis.
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What are some questions about optics?
Some questions about optics could include: How does light interact with different materials? What is the difference between reflection and refraction? How do lenses work to focus light? How is color perceived by the human eye? How do optical instruments like microscopes and telescopes function?
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What are some questions in optics?
Some questions in optics include: How does light interact with different materials? What is the nature of reflection and refraction? How do different lenses and mirrors affect the behavior of light? How can we use optics to create devices such as microscopes, telescopes, and cameras? How can we manipulate light to improve technologies like fiber optics and laser systems?
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What is Optics 3 in physics?
Optics 3 in physics typically refers to the advanced study of optics, which is the branch of physics that deals with the behavior and properties of light. This level of optics delves into more complex topics such as wave optics, interference, diffraction, polarization, and optical instruments. Students studying Optics 3 will explore the wave nature of light, the interaction of light with matter, and the principles behind various optical devices and systems. It is a crucial area of study for understanding how light behaves and how it can be manipulated for various applications in science and technology.
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What is geometric optics in physics?
Geometric optics is a branch of physics that deals with the behavior of light as it interacts with different materials and objects. It focuses on the study of light rays and how they are reflected, refracted, and dispersed by various surfaces and lenses. Geometric optics uses simplified models and principles to understand the behavior of light, such as the laws of reflection and refraction. This branch of physics is essential for understanding how light behaves in optical instruments like cameras, telescopes, and microscopes.
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