Products related to Realistic:
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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 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 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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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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Realistic Evaluation
Realistic Evaluation shows how program evaluation needs to be, and can be bettered.It presents a profound yet highly readable critique of current evaluation practice, and goes on to introduce a `manifesto' and `handbook' for a fresh approach. The main body of this book is devoted to the articulation of a new evaluation paradigm, which promises greater validity and utility from the findings of evaluation studies.The authors call this new approach `realistic evaluation'.The name reflects the paradigm's foundation in scientific realist philosophy, its commitment to the idea that programmes deal with real problems rather than mere social constructions, and its primary intention, which is to inform realistic developments in policy making that benefit programme participants and the public.Ray Pawson and Nicholas Tilley argue with passion that scientific evaluation requires a careful blend of theory and method, quality and quantity, ambition and realism. The book offers a complete blueprint for evaluation activities, running from design to data collection and analysis to the cumulation of findings across programmes and onto the realization of research into policy.The argument is developed using practical examples throughout and is grounded in the major fields of programme evaluation. This book will be essential reading for all those involved in the evaluation process especially those researchers, students and practitioners in the core disciplines of sociology, social policy, criminology, health and education. `This book is a must for those engaged in the field, providing a fully illustrated text on evaluation with numerous examples from the criminal justice system.Unusually, it offers something for the academic, practitioner and student alike.I found Pawson and Tilley's latest work on evaluation an enjoyable and informative read.For myself their "realistic evaluation" clarified and formalised a jumbled set of ideas I had already been developing.Although not everyone will agree with the methodology proposed by the authors, this book is a valuable read as it will cause most of us at least to review our methodological stance' - International Journal of Police Science and Management`This is an engaging book with a strong sense of voice and communicative task.The voice is sometimes strident, but always clear. Its communicative qualities are evident equally in its structure: lots of signposting for the reader within and across chapters' - Language Teaching Research`This provocative, elegant and highly insightful book focuses on the effective incorporation of actual practice into the formulation of evaluation methodology.What a pleasure to read sentences like: "The research act involves "learning" a stakeholder's theories, formalizing them, and "teaching" them back to that informant who is then in a position to comment upon, clarify and further refine the key ideas".Pawson and Tilley have given us a wise, witty and persuasive account of how real practitioner experience might be encouraged to intrude on (and modify) researchers' concepts about program processes and outcomes.This holds important promise for achieving something that is devoutly to be wished: closer interaction among at least some researchers and some policy makers' - Eleanor Chelimsky, Past-President of the American Evaluation Association`This is a sustained methodological argument by two wordly-wise social scientists.Unashamedly intellectual, theoretically ambitious yet with a clear but bounded conception of evaluation.It is articulate, occasionally eloquent and always iconoclastic, whilst eschewing "paradigm wars".The Pawson and Tilley "realist" call to arms threatens to take no prisoners among experimentalists, constructivists or pluralists.It is the kind of book that clarifies your thoughts, even when you disagree with everything they say' - Elliot Stern, The Tavistock Institute
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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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Realistic Dinosaurs Stickers
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Exquisite Workmanship Skull Statue Realistic Wide Application Excellent Highly Realistic Replica
Exquisite Workmanship Skull Statue Realistic Wide Application Excellent Highly Realistic Replica
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What is the function of spatial visualization ability?
Spatial visualization ability allows individuals to mentally manipulate and understand spatial relationships between objects. This ability is crucial in fields such as engineering, architecture, and design, where individuals need to visualize and manipulate complex 3D objects and structures. It also plays a key role in tasks such as navigation, map reading, and understanding geometric concepts. Overall, spatial visualization ability is important for problem-solving, creativity, and understanding the physical world.
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"Is Haikyuu realistic?"
Haikyuu is a realistic portrayal of high school volleyball in many aspects. The show accurately depicts the physical and mental demands of the sport, as well as the dynamics of teamwork and competition. The characters also face setbacks and challenges that are relatable to real-life athletes. However, the show does include some exaggerated and dramatic moments for entertainment purposes, which may not always align with real-life experiences in volleyball. Overall, Haikyuu strikes a good balance between realism and entertainment.
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Is Batman realistic?
Batman is a fictional character and his abilities and gadgets are not realistic in the real world. However, the concept of a wealthy individual using their resources to fight crime and seek justice is a realistic idea. Batman's determination, intelligence, and physical training are also realistic traits that can be found in real-life individuals. While the specific portrayal of Batman may not be realistic, the underlying themes and motivations behind the character can be relatable and inspiring in a real-world context.
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Is reincarnation realistic?
The concept of reincarnation is a belief held in various cultures and religions, such as Hinduism and Buddhism. While there is no scientific evidence to support the idea of reincarnation, it is a deeply held spiritual belief for many people. Whether or not reincarnation is considered realistic ultimately depends on an individual's personal beliefs and worldview.
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