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  • Data Analytics & Visualization All-in-One For Dummies
    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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  • Spatial Analysis with R : Statistics, Visualization, and Computational Methods
    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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  • Spatial Epidemiological Approaches in Disease Mapping and Analysis
    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 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 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.

  • 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.

  • Can one improve their spatial visualization skills?

    Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.

  • What are problems with spatial visualization skills?

    Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.

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  • An Introduction to R for Spatial Analysis and Mapping
    An Introduction to R for Spatial Analysis and Mapping

    The ever-expanding availability of spatial data continues to revolutionise research.This book is your go-to guide to getting the most out of handling, mapping and analysing location-based data. Without assuming prior knowledge of GIS, geocomputation or R, this book helps you understand spatial analysis and mapping and develop your programming skills, from learning about scripting and writing functions to point pattern analysis and spatial attribute analysis. The book:Illustrates approaches to analysis on a range of datasets that are new to this edition. Enables you to put your skills into practice with embedded exercises and over 30 self-test questions. Showcases the possibilities of using spatial analysis to explore spatial inequalities. Whether you’re an R novice or experienced user, this book equips upper undergraduates, postgraduates and researchers with the tools needed for spatial data handling and rich analysis.

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  • Photography Bizarre : Lustful & bizarre photography
    Photography Bizarre : Lustful & bizarre photography


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  • Photography
    Photography

    Photography is ubiquitous. The visual image is the predominant form of communication.Arguably it is a very democratic medium, since billions of people all over the planet take photographs on their phones, and digital storage means that expensive printing is not necessary and therefore the practice is not prohibitive.Photography is important to political and social movements and connects people in emotionally meaningful relationships. This book explores the myriad ways in which photographs can be used: to document events, places or things; to consolidate personal identity; to pose a challenge to an idea or regime; to animate the inanimate (in other words, to breathe life into objects); to capture the fleeting and transitory; to create stories; to reveal what may be taken for granted, including seeing social practices; to enhance our perception and allow us to notice previously unnoticed details; to consolidate relationships; to represent the overlooked or marginalised; to commemorate; to authenticate; to tantalise.All these modes of photography have different possibilities, different intentions and different effects.

    Price: 15.99 £ | Shipping*: 3.99 £
  • Photography after Photography : Gender, Genre, History
    Photography after Photography : Gender, Genre, History

    Presenting two decades of work by Abigail Solomon-Godeau, Photography after Photography is an inquiry into the circuits of power that shape photographic practice, criticism, and historiography.As the boundaries that separate photography from other forms of artistic production are increasingly fluid, Solomon-Godeau, a pioneering feminist and politically engaged critic, argues that the relationships between photography, culture, gender, and power demand renewed attention.In her analyses of the photographic production of Cindy Sherman, Robert Mapplethorpe, Susan Meiselas, Francesca Woodman, and others, Solomon-Godeau refigures the disciplinary object of photography by considering these practices through an examination of the determinations of genre and gender as these shape the relations between photographers, their images, and their viewers.Among her subjects are the 2006 Abu Ghraib prison photographs and the Cold War-era exhibition The Family of Man, insofar as these illustrate photography's embeddedness in social relations, viewing relations, and ideological formations.

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  • Can photography be objective?

    Photography can capture a moment in time objectively, but the interpretation of the image can be subjective. The photographer's choice of framing, lighting, and composition can influence how the viewer perceives the image. Additionally, post-processing techniques can further alter the objective reality of the photograph. Ultimately, while photography can strive for objectivity, it is ultimately a form of art that is inherently subjective.

  • Is photography an art?

    Yes, photography is considered an art form. It involves the creative use of composition, lighting, and subject matter to capture a moment or convey a message. Photographers use their artistic vision to create images that evoke emotions, tell stories, and showcase the beauty of the world around us. Just like other art forms, photography requires skill, creativity, and a unique perspective to produce compelling and meaningful work.

  • How has photography developed?

    Photography has developed significantly since its invention in the 19th century. From the early days of black and white film photography to the digital age, the technology and techniques have evolved rapidly. The introduction of color photography, digital cameras, and smartphone photography have all contributed to the advancement of the medium. Additionally, the accessibility of photography has increased with the widespread use of social media platforms, allowing for instant sharing and global exposure. Overall, photography has developed from a niche and complex art form to a widely accessible and versatile means of visual expression.

  • What is Instagram photography?

    Instagram photography refers to the practice of taking and sharing photos on the social media platform Instagram. It often involves capturing visually appealing images using a smartphone or camera, and then editing and enhancing them using Instagram's built-in filters and editing tools. Instagram photography is characterized by its focus on aesthetics, creativity, and storytelling, and it has become a popular way for individuals and businesses to showcase their visual content to a wide audience. It has also given rise to a community of photographers and enthusiasts who use the platform to connect, share, and discover new visual content.

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