Products related to Cartesian:
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Cartesian Poetics : The Art of Thinking
What is thinking? What does it feel like? What is it good for? Andrea Gadberry looks for answers to these questions in the philosophy of René Descartes and finds them in the philosopher’s implicit poetics.Gadberry argues that Descartes’s thought was crucially enabled by poetry and shows how markers of poetic genres from love lyric and elegy to the puzzling forms of the riddle and the anagram betray an impassioned negotiation with the difficulties of thought and its limits.Where others have seen Cartesian philosophy as a triumph of reason, Gadberry reveals that the philosopher accused of having “slashed poetry’s throat” instead enlisted poetic form to contain thought’s frustrations. Gadberry’s approach to seventeenth-century writings poses questions urgent for the twenty-first.Bringing literature and philosophy into rich dialogue, Gadberry centers close reading as a method uniquely equipped to manage skepticism, tolerate critical ambivalence, and detect feeling in philosophy.Helping us read classic moments of philosophical argumentation in a new light, this elegant study also expands outward to redefine thinking in light of its poetic formations.
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World, Affectivity, Trauma : Heidegger and Post-Cartesian Psychoanalysis
Stolorow and his collaborators' post-Cartesian psychoanalytic perspective – intersubjective-systems theory – is a phenomenological contextualism that illuminates worlds of emotional experience as they take form within relational contexts.After outlining the evolution and basic ideas of this framework, Stolorow shows both how post-Cartesian psychoanalysis finds enrichment and philosophical support in Heidegger's analysis of human existence, and how Heidegger's existential philosophy, in turn, can be enriched and expanded by an encounter with post-Cartesian psychoanalysis.In doing so, he creates an important psychological bridge between post-Cartesian psychoanalysis and existential philosophy in the phenomenology of emotional trauma.
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Routledge Philosophy GuideBook to Husserl and the Cartesian Meditations
Husserl is one of the most important philosophers of the twentieth century and his contribution to the phenomenology movement is widely recognised.The Cartesian Meditations is his most famous, and most widely studied work.The book introduces and assesses: Husserl's life and background to the Cartesian Meditations, the ideas and text of the Cartesian Meditations and the continuing imporance of Husserl's work to Philosophy.
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Cartesian Linguistics : A Chapter in the History of Rationalist Thought
In this extraordinarily original and profound work, Noam Chomsky discusses themes in the study of language and mind since the end of the sixteenth century in order to explain the motivations and methods that underlie his work in linguistics, the science of mind, and even politics.This edition includes a new and specially written introduction by James McGilvray, contextualising the work for the twenty-first century.It has been made more accessible to a larger audience; all the French and German in the original edition has been translated, and the notes and bibliography have been brought up to date.The relationship between the original edition (published in 1966) and contemporary biolinguistic work is also explained.This challenging volume is an important contribution to the study of language and mind, and to the history of these studies since the end of the sixteenth century.
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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.
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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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What exactly was the Cartesian product again?
The Cartesian product is a mathematical operation that combines two sets to create a new set. It is denoted by the symbol "×" and is used to create all possible combinations of elements from the two original sets. For example, if set A = {1, 2} and set B = {a, b}, then the Cartesian product of A and B would be {(1, a), (1, b), (2, a), (2, b)}. Each element in the new set is an ordered pair, with the first element from set A and the second element from set B.
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What is a Cartesian diver in physics?
A Cartesian diver is a classic physics experiment that demonstrates the principles of buoyancy and pressure. It consists of a small, sealed container filled with air and a small amount of water, with a small object, such as a pipette or eyedropper, inside. When the container is placed in a larger body of water, the pressure from the water causes the air inside the container to compress, making the object inside sink. When the pressure is released, the object rises back to the surface. This experiment illustrates the concept of buoyancy and the effects of pressure on the volume of gases.
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What is the Cartesian form of 1i?
The Cartesian form of 1i is 0 + 1i. In the Cartesian form, a complex number is represented as a combination of a real part and an imaginary part, where the real part is the coefficient of the real unit 1 and the imaginary part is the coefficient of the imaginary unit i. Therefore, the Cartesian form of 1i is 0 + 1i.
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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 are complex numbers represented in Cartesian form?
Complex numbers are represented in Cartesian form as a combination of a real part and an imaginary part, written as a + bi, where "a" is the real part and "bi" is the imaginary part. The real part represents the horizontal axis on the complex plane, while the imaginary part represents the vertical axis. This form allows us to visualize complex numbers as points on a 2D plane, making it easier to understand their properties and relationships.
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