Products related to Resistance:
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Architectures of Resistance : Negotiating Borders Through Spatial Practices
Spatial borders as sites of meaningful adjacencies and exchange. Borders between countries, neighbourhoods, people, beliefs, and policies are proliferating and expanding despite what self-proclaimed progressive societies wish or choose to believe.For a wide variety of reasons, the early 21st century is caught struggling between breaking down barriers and raising them.Architecture is complicit in both. It is central to the perpetuation of borders, and key to their dismantling.Architectures of Resistance: Negotiating Borders Through Spatial Practices approaches borders as sites of meaningful encounter between others (other cultures, other nations, other perspectives), guided not by fear or hatred but by respect and tolerance.The contributors to this volume - including architects, urban planners, artists, human geographers, and political scientists - address spatial boundaries as places where social and political conditions are intensified and where new spatial practices of architectural resistance arise.Moving across contemporary, historical, and speculative conditions of borders, Architectures of Resistance discusses new and innovative forms of architectural, artistic, and political practice that facilitate constructive human interaction. Contributors: Nishat Awan (UCL Urban Laboratory), Teddy Cruz (University of California San Diego), Sofia Dona (independent artist), Ursula Emery McClure (Kansas State University), Fonna Forman (University of California San Diego), Marisa Gomez (University of Texas at Arlington), Mohamad Hafeda (University College London), Paul Holmquist (Louisiana State University), Panos Leventis (Drury University), Eugene McCann (Simon Fraser University), Aya Musmar (American University of Cairo), Kristopher Palagi (Louisiana State University), Marc Schoonderbeek (TU Delft), Nicholas Serrano (University of Florida), Angeliki Sioli (TU Delft), Aleksandar Stanicic (TU Delft). Ebook available in Open Access. This publication is GPRC-labeled (Guaranteed Peer-Reviewed Content).
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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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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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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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Resistance
A landmark work charting how acts of resistance have shaped Britain and the powerful role of photography as a catalyst for change, across the twentieth century, curated by acclaimed artist and filmmaker Steve McQueen. Resistance presents a century of activism, from the radical suffrage movement in 1903 through key moments including the Battle of Cable Street, the Black People’s Day of Action, Greenham Common Women's Peace Camp and the Miners’ Strike; onto protests against environmental destruction, struggles for LGBTQ+ and disability rights; culminating with the largest protest in Britain’s history: the march against the War in Iraq in 2003. A wealth of photographs – from covert surveillance images to era-defining press reportage – are interwoven with firsthand accounts from those who witnessed these major historical moments and expert analysis of where these stories lead us today.Featuring contributions from groundbreaking voices such as Gary Younge, Paul Gilroy and Baroness Chakrabarti, alongside powerful images from renowned photographers including Vanley Burke, Edith Tudor-Hart, Tish Murtha and Paul Trevor. Resistance uncovers the often-overlooked stories of individuals who have been instrumental in forming modern Britain and is a testament to the empowering impact of collective action today.
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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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Better Bodies Resistance Band - Red Light Resistance
Description Elastic resistance band that helps you add weight to your training without any dumbbells or bars. Material: 100% Latex Logo: Placement print. Features: Elastic latex bands, helps you out with a lot of exercises without any other gear. 351 bright red - light resistance 15LB-35LB (6,8kg-15,88kg)929 frost grey - mid resistance 25LB-65LB (11,34kg-29,48kg)573 strong blue - hard resistance 35LB-85LB (15,88kg-38,56kg)
Price: 17.79 € | Shipping*: 0.00 €
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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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What is the difference between resistance and specific resistance?
Resistance is the opposition to the flow of electric current in a material, measured in ohms. It is a property of the material itself. Specific resistance, also known as resistivity, is a material property that quantifies how strongly a material opposes the flow of electric current. It is a characteristic of the material's composition and is used to calculate the resistance of a specific shape and size of material.
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What are the tolerances for resistance chains and resistance cubes?
The tolerances for resistance chains and resistance cubes typically vary depending on the manufacturer and the specific product. However, in general, resistance chains and cubes are designed to have tight tolerances to ensure accurate and consistent resistance levels for users. It is common for resistance chains and cubes to have tolerances within a few percentage points to maintain their effectiveness and reliability during workouts. It is recommended to refer to the product specifications provided by the manufacturer for more detailed information on the tolerances of specific resistance chains and cubes.
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How do I calculate the resistance with the internal resistance?
To calculate the total resistance with the internal resistance, you can use the formula: R_total = R_internal + R_external, where R_total is the total resistance, R_internal is the internal resistance, and R_external is the external resistance. This formula takes into account the resistance from both the internal and external components of the circuit. By adding the internal and external resistances together, you can determine the total resistance in the circuit.
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