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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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Social Urbanism : Reframing Spatial Design through our Collective Culture
This book serves as a critical review of Social Urbanism, defined as a socio-political and practical approach to urban globalisation, deriving from a planning strategy and portfolio of built projects that seek to alleviate the social consequences of urbanisation. It emphasises both the political processes and the urbanism projects that simultaneously consider socio-economic and ecological components of space, and which highlight a greater focus on social sustainability.In a context in which geography defines space and culture, and through challenges of a global magnitude, we are inextricably united in an era of environmental uncertainty, where shared experiences and values place us within a collective culture, inspiring mutual agency in service of this vision for Social Urbanism. Through the work presented here, Social Urbanism is expanded as a worldview that considers the cultural values of a given place as interconnected to the geographical landscape of the region, and therefore, as the driving forces behind future models of globalisation and urban growth.The points of view of multiple colleagues and experts across differing fields provide introspection on the implementation of Social Urbanism.These shared opinions strengthen the significance of this work and affirm the joint values and visions for the global urbanisation challenges we are confronting in the 21st century, and which continue into the future.
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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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Beautiful Visualization : Looking At Data Through The Eyes Of Experts : Looking At Data Through The Eyes Of Experts
Visualization is the graphic presentation of data -- portrayals meant to reveal complex information at a glance.Think of the familiar map of the New York City subway system, or a diagram of the human brain.Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.This book examines the methods of two dozen visualization experts who approach their projects from a variety of perspectives -- as artists, designers, commentators, scientists, analysts, statisticians, and more.Together they demonstrate how visualization can help us make sense of the world. * Explore the importance of storytelling with a simple visualization exercise * Learn how color conveys information that our brains recognize before we're fully aware of it * Discover how the books we buy and the people we associate with reveal clues to our deeper selves * Recognize a method to the madness of air travel with a visualization of civilian air traffic * Find out how researchers investigate unknown phenomena, from initial sketches to published papers
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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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Predictive Safety Analytics : Reducing Risk through Modeling and Machine Learning
Nearly all our safety data collection and reporting systems are backwardlooking: incident reports; dashboards; compliance monitoring systems; and so on.This book shows how we can use safety data in a forward-looking, predictive sense. Predictive Safety Analytics: Reducing Risk through Modeling and Machine Learning contains real use cases where organizations have reduced incidents by employing predictive analytics to foresee and mitigate future risks.It discusses how Predictive Safety Analytics is an opportunity to break through the plateau problem where safety rate improvements have stagnated in many organizations.The book presents how the use of data, coupled with advanced analytical techniques, including machine learning, has become a proven and successful innovation.Emphasis is placed on how the book can “meet you where you are” by illuminating a path to get there, starting with simple data the organization likely already has.Highlights of the book are the real examples and case studies that will assist in generating thoughts and ideas for what might work for individual readers and how they can adapt the information to their particular situations. This book is written for professionals and researchers in system reliability, risk and safety assessment, quality control, operational managers in selected industries, data scientists, and ML engineers.Students taking courses in these areas will also find this book of interest to them.
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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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Mapping Society : The Spatial Dimensions of Social Cartography
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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 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 does it mean if someone lacks spatial visualization skills?
If someone lacks spatial visualization skills, it means that they have difficulty mentally manipulating and understanding spatial relationships between objects and shapes. This can manifest as challenges in tasks such as reading maps, understanding 3D objects, or visualizing how objects fit together in space. People with this difficulty may struggle with activities such as assembling furniture, reading graphs, or understanding geometric concepts. It's important to note that lacking spatial visualization skills does not indicate a lack of intelligence, but rather a specific cognitive challenge in this area.
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How is gene mapping done through a 3-point analysis?
Gene mapping through a 3-point analysis involves examining the recombination frequencies between three genetic markers located on the same chromosome. By analyzing the frequency of recombination events between these markers, the relative distances between them can be estimated. This information helps in constructing a genetic map of the chromosome, showing the order and relative positions of the markers. The closer two markers are to each other, the lower the frequency of recombination events between them, indicating they are more tightly linked.
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Is there an app that can help improve and train one's spatial visualization skills?
Yes, there are several apps available that can help improve and train spatial visualization skills. Apps like Lumosity, Peak, and Spatial IQ are designed to enhance spatial reasoning, mental rotation, and visualization abilities through various exercises and challenges. These apps offer a fun and interactive way to practice and develop spatial skills, which can be beneficial for tasks that require mental manipulation of objects in space, such as engineering, architecture, and mathematics.
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