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Congruence
Genuineness, transparency, authenticity and realness are all terms used to convey Rogers' concept of congruence.This book is the first to specifically focus on, and collect critical explorations of, this under under-studied therapeutic condition.Drawing on the work of an international collection of leading writers, serious students of person-centred theory now have writing representing the most vibrant contemporary thinking on congruence thoughtfully drawn together in one volume.
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Pain, Normality, and the Struggle for Congruence : Reinterpreting Residential Care for Children and Youth
Learn what children living in group homes need most!Pain, Normality, and the Struggle for Congruence: Reinterpreting Residential Care for Children and Youth presents the results of a 14-month study of 10 staffed group homes in British Columbia.The book uses grounded theory to construct a theoretical model that speaks to the primary challenge care workers face each dayresponding to pain and pain-based behavior in residents.It combines participant observations, transcribed interviews, and document analysis to develop a core theme of congruence, several major psychosocial processes, and 11 interactional dynamics identified as being fundamental to group home life.The study brings to light several neglected aspects of residential care and proposes new directions in policy development, education, practice, and research to create an integrated and accessible framework for understanding group home life for youths. Pain, Normality, and the Struggle for Congruence: Reinterpreting Residential Care for Children and Youth is a full and rigorous examination of the theoretical and empirical underpinnings of residential group care.The studyconducted during a time of heightened sensitivity to the rights of children and increased emphasis on accountability and outcome measurementreveals a core theme of congruence, focusing on consistency, reciprocity, and coherence.The book examines the major elements of this theme, including: creating an extra-familial living environment developing a sense of normality listening and responding with respect establishing a structure, routine, and expectations offering emotional and developmental support respecting personal space and time discovering potential communicating a framework for understanding and much more!Pain, Normality, and the Struggle for Congruence: Reinterpreting Residential Care for Children and Youth provides professionals concerned with the development and treatment of children and young people with a unique understanding of group home life and work.From the Foreword, by Dr. Barney Glaser:I am honored and delighted to be asked by Jim Anglin to write the foreword to this grounded theory text...The purpose of this grounded theory is to construct a theoretical framework that would explain and account for well-functioning staffed group homes for young people, that in turn could serve as a basis for improved practice, policy development, education and training, research, and evaluation.THE READER WILL SEE THAT ANGLIN HAS ACHIEVED HIS GOAL WITH ADMIRABLE SUCCESS. . . . HIS GROUNDED THEORY TRULY MAKES A SCHOLARLY CONTRIBUTION TO THE LITERATURE.
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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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How do you determine a congruence mapping?
A congruence mapping is determined by comparing the corresponding elements of two sets or structures and identifying if they satisfy a specific congruence relation. This relation could be based on properties such as equality, similarity, or equivalence. By examining the elements and their relationships in the sets, one can establish a congruence mapping that preserves the desired properties between the elements of the sets. This mapping helps to show how the elements of one set relate to the elements of another set in a way that maintains the specified congruence relation.
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How does one determine a congruence mapping?
A congruence mapping is determined by identifying the elements in the domain that are related to each other in a specific way. This relationship is typically defined by a congruence relation, which specifies the conditions under which two elements are considered congruent. By applying this congruence relation to the elements in the domain, one can determine which elements are related and how they are related, thus defining the congruence mapping.
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What does congruence mean?
Congruence refers to the state of being in agreement or harmony with something else. In mathematics, congruence is used to describe the relationship between two geometric figures that have the same shape and size. This means that the corresponding angles and sides of the two figures are equal. In a broader sense, congruence can also refer to the alignment of beliefs, values, or actions with a particular standard or ideal.
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What are congruence theorems?
Congruence theorems are a set of rules in geometry that determine when two geometric figures are congruent, meaning they have the same size and shape. These theorems are used to prove that two triangles or other shapes are congruent by showing that their corresponding sides and angles are equal. Some common congruence theorems include the Side-Side-Side (SSS) theorem, Side-Angle-Side (SAS) theorem, Angle-Side-Angle (ASA) theorem, and Angle-Angle-Side (AAS) theorem.
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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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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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Advanced video mapping techniques - Spatial Augmented Reality applied to cultural heritage
Spatial Augmented Reality applied to cultural heritage.
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Is there a congruence theorem?
Yes, there is a congruence theorem in geometry. The congruence theorem states that if two geometric figures have the same shape and size, then they are congruent. In other words, if all corresponding sides and angles of two triangles are equal, then the triangles are congruent. This theorem is important in proving the equality of geometric figures and in solving various geometric problems.
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How do you solve congruence equations?
To solve congruence equations, you can use the properties of modular arithmetic. First, simplify the congruence equation by reducing the coefficients and the modulus to their smallest possible values. Then, you can add, subtract, multiply, and divide both sides of the congruence equation by the same number without changing the solution. Finally, you can use the properties of modular arithmetic to find the solutions within the given modulus. If the modulus is prime, you can use Fermat's little theorem to simplify the calculations.
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Why is there no congruence theorem?
There is no specific congruence theorem because congruence itself is a fundamental concept in geometry that is used to establish the equality of two geometric figures in terms of shape and size. Instead of a single congruence theorem, there are several postulates and theorems that are used to prove congruence between triangles, such as the Side-Angle-Side (SAS) congruence postulate and the Angle-Side-Angle (ASA) congruence theorem. These different criteria for congruence help to ensure that triangles are identical in shape and size, allowing for accurate geometric reasoning and problem-solving.
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What does congruence modulo m mean?
Congruence modulo m means that two numbers are equivalent or have the same remainder when divided by m. In other words, if two numbers a and b have the same remainder when divided by m, then they are said to be congruent modulo m, denoted as a ≡ b (mod m). This concept is often used in number theory and modular arithmetic to study the properties of numbers and their relationships under modular operations.
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