Products related to Aesthetic:
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Aesthetic Practices and Spatial Configurations : Historical and Transregional Perspectives
Aesthetic practices shape and are shaped by spatial formations.The essays of this volume survey configurations of spaces as macro, micro and meso, and study from a transregional perspective the ways they are created, described, negotiated and appropriated across cultures.The interdisciplinary studies range from art history to anthropology and literary studies, and investigate the interdependence between material forms and environmental contexts.They explore the periodic re-invention of spaces through architectural, pictorial and discursive practices.This includes the geographical migration of images, objects and practices from one space to another, across a variety of constellations and spatial scales, and the accretion of cultural values around such migration. Case studies range from a religious temple under construction in today's Sao Paolo, the place of African art in the museum collections of the former GDR, 18th-century religious architecture in Beirut, the historicization of modernist architecture in Iraq, the pictorial evocations of sacred rivers in 16th-century India, literary descriptions of the Mughal capital Fatpur Sikri, to cosmological arrangements in Buddhist caves of the 6th century, among other topics.
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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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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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Mapping Society : The Spatial Dimensions of Social Cartography
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Aesthetic Theory
Theodor Adorno (1903-69) was undoubtedly the foremost thinker of the Frankfurt School, the influential group of German thinkers that fled to the US in the 1930s, including such thinkers as Herbert Marcuse and Max Horkheimer.His work has proved enormously influential in sociology, philosophy and cultural theory.Aesthetic Theory is Adorno's posthumous magnum opus and the culmination of a lifetime's investigation.Analysing the sublime, the ugly and the beautiful, Adorno shows how such concepts frame and distil human experience and that it is human experience that ultimately underlies aesthetics.In Adorno's formulation ‘art is the sedimented history of human misery'.
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Similar search terms for Aesthetic:
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What are aesthetic principles?
Aesthetic principles are guidelines or rules that help determine what is considered beautiful, harmonious, or pleasing in art, design, or any form of creative expression. These principles often include concepts such as balance, unity, proportion, rhythm, and emphasis. By following aesthetic principles, artists and designers can create works that are visually appealing and convey a sense of harmony and order to the viewer.
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What does aesthetic mean?
Aesthetic refers to the principles and values that guide the creation and appreciation of beauty in art, design, and other forms of expression. It involves the study of sensory or emotional values, such as harmony, balance, and proportion, that contribute to the overall visual appeal of an object or environment. Aesthetic considerations can vary greatly depending on cultural, historical, and individual perspectives. Ultimately, aesthetics play a significant role in shaping our perceptions and experiences of the world around us.
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What is your aesthetic?
My aesthetic is minimalist and modern, with a focus on clean lines, neutral colors, and a touch of natural elements. I appreciate simplicity and functionality in design, and I strive for a sense of calm and balance in my surroundings. I also enjoy incorporating elements of Scandinavian and Japanese design, which emphasize simplicity, functionality, and a connection to nature. Overall, my aesthetic is about creating a peaceful and uncluttered space that promotes a sense of tranquility and harmony.
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What are aesthetic numbers?
Aesthetic numbers are numbers that have a pleasing or beautiful pattern or arrangement. These numbers often exhibit interesting mathematical properties, such as being symmetrical, having repeating digits, or forming visually appealing shapes when plotted on a graph. Aesthetic numbers are often used in recreational mathematics and can be found in various number sequences and mathematical puzzles. They are appreciated for their visual and mathematical appeal.
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What are aesthetic writings?
Aesthetic writings are literary works that focus on the beauty, art, and sensory experiences of the world. These writings often explore the emotional and sensory impact of art, nature, and human experiences. Aesthetic writings can encompass various genres such as poetry, essays, and fiction, and they often aim to evoke a strong emotional response or appreciation for the aesthetics of the world. These writings may also delve into philosophical and existential themes related to beauty and the human experience.
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Are such faces aesthetic?
The aesthetic appeal of a face is subjective and can vary from person to person. Some may find certain faces to be aesthetically pleasing while others may not. Beauty standards also differ across cultures and time periods, further influencing perceptions of aesthetic faces. Ultimately, the aesthetic appeal of a face is a matter of personal preference and can be influenced by a variety of factors.
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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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What is this aesthetic called?
The aesthetic in the image is called "cottagecore." It is characterized by a romanticized idealization of rural life, nature, and simplicity. Cottagecore often features soft, natural color palettes, vintage and handmade items, and a focus on traditional crafts and activities. It is a nostalgic and whimsical aesthetic that celebrates a connection to the natural world and a slower pace of life.
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