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Social Media Measurement and Management : Entrepreneurial Digital Analytics
This revised and updated textbook applies a critical and practical lens to the world of social media analytics.Author Jeremy Harris Lipschultz explores the foundations of digital data, strategic tools, and best practices in an accessible volume for students and practitioners of social media communication. This second edition expands upon entrepreneurship, marketing, and technological principles, demonstrating how raising awareness, sparking engagement, and producing business outcomes all require emphasis on customers, employees, and other stakeholders within paid, earned, social, and owned media.It also looks to the future, examining how the movement toward artificial intelligence and machine learning raises new legal and ethical issues in effective management of social media data.Additionally, the book offers a solid grounding in the principles of social media measurement itself, teaching the strategies and techniques that enable effective analysis.It features theoretical and practical advice, a comprehensive glossary of key terms, and case studies from academic and industry thought leaders. A perfect primer for this developing industry, this book is ideal for students, scholars, and practitioners of digital media seeking to hone their skills and expand their bank of new tools and resources.
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Remote Sensing of Soils : Mapping, Monitoring, and Measurement
Remote Sensing of Soils: Mapping, Monitoring and Measurement covers the basic, theoretical and scientific concepts of multidisciplinary subjects, including sections that relate to soil sciences, remote sensing, geoinformatics, geomatics, civil and water resource engineering, geography, agriculture, disaster management and the earth and environmental sciences.The book consists of defined elements to help guide the reader, including an abstract, introductions, a literature review, methodology, results and discussions, findings, recommendations and conclusions.Each chapter includes theoretical information that is illustrated with flow charts, tables, figures, diagrams and other related illustrations. Site-specific research and case studies are described throughout with geographical and demographical data, current scientific issues, impacts, solutions and societal benefits, thus providing readers from multi-disciplinary backgrounds the tools they need to successful map, analyze and monitor soils.
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Building Measurement : New Rules of Measurement
Measurement of buildings is the core skill of the quantity surveyor.It underpins the procurement, management, delivery and subsequent commissioning of a completed building, and must now be completed using New Rules of Measurement 2 (NRM 2).In this much-needed new measurement textbook, the measurement of the most common building elements is described using NRM2.Extensive worked examples including fully up to date hand-drawn diagrams and supporting take-off lists ensure that the reader develops a confidence in their ability to measure using NRM2 in practice.A practical step-by-step approach is used to explain and interpret the detail of the specific Work Sections of NRM2, covering a broad range of different trades, including mechanical and electrical systems; external works; groundwork; masonry; joinery; and internal finishes. Presuming no prior knowledge of measurement or NRM2, and fully up to date with current practice, including consideration of Building Information Modelling, this is the ideal text for students of measurement at HND or BSc level, as well as practitioners needing a crash course in how to apply NRM2.
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Measurement using the New Rules of Measurement
The RICS New Rules of Measurement mean that the construction industry now has a way of allowing a more consistent approach to the measurement and estimating of buildings from the start of a project, right through until the end, and beyond. Measurement using the New Rules of Measurement offers comprehensive guidance on all the technical competencies concerned with measurement throughout the precontract stages and provides a full commentary to the NRM, with detailed and comprehensive examples of how to measure in accordance with this new prescriptive approach. For both students and practitioners, the acquisition of technical competencies is by practice so this book offers step-by-step worked examples to follow as well as an exercise on each topic. helps dispel anxieties about using a new method in an important area of fee generationbased on the author’s successful Roadshows, organised by the RICS to promote the NRMcompanion websites provide support for learning: http://ostrowskiquantities.com and www.wiley.com/go/ostrowski/measurement
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Attitude Measurement
The field of attitude research has long been recognised as one of the most important and influential within social psychology. But the ever-increasing popularity of survey research as a source of what the public thinks and feels about a wide range of issues has brought the subject into the popular arena, heightening the relevance of the theory and practice of attitude measurement.Roger Jowell and Caroline Roberts, acknowledged leaders in this area of research, have combed the literature to bring together the most comprehensive collection available.The four volumes cover key advances since serious study of the subject began to appear (in the 1920s), with a selection of the articles and papers which present the key figures, the major steps forward in theory or practice and some of the most creative and ingenious methodological work in the social sciences.This set will provide a rich reference source that should appeal to academics and practitioners alike.
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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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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 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.
Price: 45.99 £ | Shipping*: 0.00 £
Similar search terms for Measurement:
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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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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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What is the difference between measurement inaccuracies and measurement errors?
Measurement inaccuracies refer to the discrepancies between the measured value and the true value of a quantity, which can be caused by various factors such as instrument calibration or environmental conditions. On the other hand, measurement errors are the differences between the measured value and the true value that are due to mistakes made during the measurement process, such as human error or faulty equipment. Inaccuracies are more systematic and can be corrected through calibration, while errors are more random and can be minimized through careful measurement techniques.
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What is the difference between angular measurement and arc measurement?
Angular measurement refers to the measurement of angles in degrees, radians, or other units, while arc measurement refers to the measurement of the length of an arc on a circle. Angular measurement is used to quantify the amount of rotation between two lines, while arc measurement is used to quantify the length of a curved segment of a circle. In other words, angular measurement focuses on the angle formed by two intersecting lines, while arc measurement focuses on the length of the curved segment of a circle.
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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.
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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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How is the background measurement carried out in beta spectrum measurement?
In beta spectrum measurement, the background measurement is carried out by placing the detector in a shielded environment to minimize external interference. The detector is then left to measure the background radiation for a certain period of time without any radioactive source nearby. This background measurement helps in determining the baseline radiation levels that need to be subtracted from the actual beta spectrum measurement to obtain accurate results. Additionally, background measurements are essential for identifying and eliminating any sources of contamination or interference that could affect the beta spectrum data.
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What is the underbust measurement for a measurement of 73 cm?
The underbust measurement is typically taken right under the bust, where the band of a bra would sit. For a measurement of 73 cm, the underbust measurement would likely be around 68-70 cm, as the band size of a bra is usually a few centimeters smaller than the actual underbust measurement to provide a snug fit and support. It is important to note that individual body shapes and sizes can vary, so it's always best to try on different sizes to find the most comfortable fit.
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