Products related to Rationalization:
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China's New Imperialism : Nature, Causes, and Rationalization
This book discusses the nature of China’s current international reassertion of itself and the thinking and attitudes which lie behind it.It argues that the Chinese leadership has a strongly held view of its own high moral authority, which emphasizes inclusion, equality and mutual benefits, and that this sense of morality underpins the driving forces for China’s foreign policies, rationalization of China’s overseas activities, the overall Chinese worldview, and China’s vision of a Chinese world order.It highlights how the country’s outward expansion has been characterized mainly by spreading influence through non-use of force and strategies of “co-operation” and “managed conflict” under the umbrella of “winning without fighting”.A set of Chinese geo-strategic reasoning that addresses how the possession of capabilities in land power and sea power will interact to produce favorable balance of power corresponds to the country’s pattern of overseas activities.The book approaches the subject empirically based on original research into both writings for policy-making purposes, which indicate realistic assessments of world politics and of China’s international capacity, and also narratives for public consumption, which have less emphasis on selfinterest and realpolitik.The book concludes that Beijing’s self-privileging high morality might have the unfortunate consequence of reinforcing its own behavior which defies international order and which others disapprove of, thereby increasing the likelihood of non-armed and armed conflicts.
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The Theory of Communicative Action : Reason and the Rationalization of Society, Volume 1
Here, for the first time in English, is volume one of Jurgen Habermas's long-awaited magnum opus: The Theory of Communicative Action.This pathbreaking work is guided by three interrelated concerns: (1) to develop a concept of communicative rationality that is no longer tied to the subjective and individualistic premises of modern social and political theory; (2) to construct a two-level concept of society that integrates the 'lifeworld' and 'system' paradigms; and (3) to sketch out a critical theory of modernity that explains its sociopathologies in a new way. Habermas approaches these tasks through a combination of conceptual analyses, systematic reflections, and critical reconstructions of such predecessors as Marx and Weber, Durkheim and Mead, Horkheimer and Adorno, Schutz and Parsons.Reason and the Rationalization of Society develops a sociological theory of action that stresses not its means-ends or teleological aspect, but the need to coordinate action socially via communication.In the introductory chapter Habermas sets out a powerful series of arguments on such foundational issues as cultural and historical relativism, the methodology of Verstehen, the inseparabilty of interpretation from critique.In addition to clarifying the normative foundations of critical social inquiry, this sets the stage for a systematic appropriation of Weber's theory of rationalization and its Marxist reception by Lukacs, Horkheimer and Adorno. This is an important book for degree students of philosophy, sociology and related subjects.
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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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What is the meaning of rationalization?
Rationalization is a psychological defense mechanism where individuals attempt to justify their behavior or decisions in a logical and rational manner, even if they are not truly based on reason. It involves creating logical explanations or excuses to make one's actions seem more acceptable or justifiable to oneself or others. Rationalization can help individuals cope with guilt or cognitive dissonance by providing a seemingly valid reason for their actions, even if they are not entirely truthful or accurate.
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What is the difference between rationalization and automation?
Rationalization involves making a process more efficient by reorganizing or restructuring it to eliminate unnecessary steps or reduce complexity. Automation, on the other hand, involves using technology to perform tasks or processes without human intervention. While rationalization focuses on improving the process itself, automation focuses on reducing the need for human involvement in executing the process. Both rationalization and automation can lead to increased efficiency and productivity in an organization.
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Is rationalization of drinking water expected in Germany?
Yes, rationalization of drinking water is expected in Germany. The country has strict regulations and standards for drinking water quality, and there are regular monitoring and testing procedures in place to ensure that the water is safe for consumption. Additionally, Germany has invested in modern water treatment facilities and infrastructure to ensure the supply of clean and safe drinking water to its population. Overall, the rationalization of drinking water in Germany is a priority to ensure public health and safety.
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How can rationalization be explained simply in business administration?
Rationalization in business administration refers to the process of making a company more efficient by streamlining operations, reducing costs, and eliminating unnecessary processes. This can involve restructuring the organization, automating tasks, and standardizing procedures to improve productivity and profitability. Rationalization aims to make the business more competitive and adaptable to changes in the market, ultimately leading to better performance and success.
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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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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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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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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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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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