Products related to Paris:
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Mapping (Post)colonial Paris by Ear
What does the urban (post)colonial condition sound like?To what extent and how is France's colonial history audible today on the streets, specifically in the Parisian quartiers populaires?Musical and sonic production has long been entangled with social movements in France and her overseas territories, and genres such as hip hop and rai have been closely associated with the urban spaces of Paris's racialized neighborhoods and with political resistance.This Element refines and extends these analyses up to contemporary antiracist and environmental struggles.Its novelty lies in telling these narratives from the perspective of the urban field recordist, reinventing the bourgeois figure of the flaneur as a feminist-decolonial activist and configuring listening as an expressly spatial practice of mapping the city.The discrete binaural microphones tucked in her ears capture everything from Franco-Maghrebi musical dissent through the sounds of police brutality and carceral capitalism to transcolonial reverberations with struggles elsewhere.
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The Cartographic Capital : Mapping Third Republic Paris, 1889-1934
Through official maps, this book looks at how government presentations of Paris and environs change over the course of the Third Republic (1889-1934).Governmental policies, such as the creation of a mandatory national uniform educational system that will eventually include geography, combined with technological advances in the printing industry, to alter the look, exposure, reception, and distribution of government maps.The government initially seemed to privilege an exclusively positive view of the capital city and limited its presentation of it to land inside the walled fortifications.However, as the Republic progressed and Paris grew, technology altered how Parisians used and understood their urban space.Rail and automobiles made moving about the city and environs easier while increased industrialization moved factories and their workers further out into the Seine Department.During this time, maps transitioned from reflecting the past to documenting the present.With the advent of French urbanism after World War I, official mapped views of greater Paris abandoned privileging past achievements and began to mirror actual residential and industrial development as it pushed further out from the city centre.Finally, the government needed to plan for the future of greater Paris and official maps begin to show how the government viewed the direction of its capital city.
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The Tyranny of the Straight Line : Mapping Modern Paris
A revolutionary study of nineteenth-century Parisian cartography and its role in shaping a modern conception of space Maps are rarely given the same attention as other print media or art forms in urban history.Author Min Kyung Lee shows their rich potential in this lavishly illustrated study, which brings together maps and other archival materials along with drawings and paintings.She works across disciplines to examine mapping practices in the development of nineteenth-century Paris and the transformative role that urban mapping had on the city’s modernization.Lee investigates Paris’s formation as a modern city, ultimately framing the practice of cartography as a catalyst for the emergence of new spatial and compositional theories. Beginning with an examination of the emblematic urban plan that Napoléon III gave to the prefect of the Seine, Georges-Eugène Haussmann, in 1853, Lee explores the significance of the map itself; the means of its production through surveying; the methods of its use and reception by architects, engineers, and administrators; and its place in the visual culture of Paris’s modernization.At the heart of this exploration is a focus on orthography in architecture and the new quality of exactitude in modern mapping practices.The precise grid structure of orthographic maps and plans evinced a sense of objectivity, yet it was not without political context and social consequences, as Lee demonstrates throughout.
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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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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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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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Which ticket Paris?
The ticket to Paris can vary in price depending on the time of year, airline, and class of service. It is recommended to compare prices from different airlines and booking websites to find the best deal. Additionally, booking in advance and being flexible with travel dates can help save money on a ticket to Paris.
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'Paris or Orlando?'
It ultimately depends on what you are looking for in a destination. Paris is known for its rich history, beautiful architecture, and world-class art and cuisine. It's a great choice for those interested in culture and history. On the other hand, Orlando is famous for its theme parks, including Walt Disney World and Universal Studios, making it a top choice for families and thrill-seekers. Consider your interests and travel priorities to decide which destination is the best fit for you.
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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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Who knows the song "Der Spatz in Paris" or "Von Paris"?
The song "Der Spatz in Paris" or "Von Paris" is a popular German children's song that is known by many people in Germany and other German-speaking countries. It is often taught in schools and is a favorite among children and parents alike. Additionally, anyone who has an interest in German music or culture may also know this song.
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