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  • River and the Rock, The - River Potholes of Wales
    River and the Rock, The - River Potholes of Wales


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  • Potholes and Pavements : A Bumpy Ride on Britain’s National Cycle Network
    Potholes and Pavements : A Bumpy Ride on Britain’s National Cycle Network

    'Just wonderful – two wheels good, Laura Laker brilliant.Part travel diary, part love poem to Britain's cycle network ... it's difficult not to be inspired by this fabulous book.' Jeremy Vine 'With a passion for both cycling and words, there are few more qualified to paint a picture of the NCN's potential than Laura Laker.' Chris BoardmanA unique journey around the UK’s National Cycle Network and one journalist’s quest to investigate the state of our country’s cycling.What if we were less reliant on our cars? What if there were safe cycling paths to take us places instead?What if those paths led to the next town, the next village and the countryside beyond?This was the dream of a group of Bristolian idealists in the 1970s when they founded Britain’s National Cycle Network, which now runs to nearly 13,000 miles across the country.Journalist Laura Laker sets off on an odyssey around the UK to see where the NCN began, and where it is now. What has gone right – and wrong – with this piece of national infrastructure?Why is it run by a charity whose CEO once admitted ‘we’ve had enough of it being crap, we need to fix it’?Laura lifts the lid on this maddening, patchy, and at times dangerous network, and the similarly precarious politics and financing that make it what it is. She discovers beauty, friendship and adventure along the way, from the Cairngorms to Cornwall, from the Pennines to the South Wales coast.On her mission to pin down what the NCN is and what it means to those who use it, she also meets up with high-profile travelling companions, including Chris Boardman and Ned Boulting. In a country where 71% of trips are less than five miles, two thirds of Britons say they want to cycle more and doing so could help our climate, health and wellbeing.Laura is on a mission to see if we can make that dream a reality.

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  • Avoiding Potholes in Translation : A Practical Perspective on Translation between English and isiZulu
    Avoiding Potholes in Translation : A Practical Perspective on Translation between English and isiZulu

    This book is a comprehensive introduction to translation studies between English and isiZulu.It incorporates crucial concepts for understanding the basics of translation within a South African language context and lays a foundation for further studies in translation.The book's content coverage, while broad, is also in-depth, and it skillfully integrates examples from varied types of texts. The practical and accessible style makes it both engaging and informative.The diverse examples illustrate not only the technicalities of translation as a process, but the vivid dynamics brought about by the fact that the languages involved in the translation process belong to different language families.The use of these examples for almost every aspect of translation explained makes this book unique and valuable to translation scholars and practitioners alike.Even though the book uses cases from the isiZulu language, it is an applicable reference for translation scholars and practitioners working with different indigenous languages of South Africa. Print edition not for sale in Sub Saharan Africa.

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  • Data Analytics & Visualization All-in-One For Dummies
    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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  • How do potholes form in the road?

    Potholes form in the road due to a combination of factors, including water, traffic, and the materials used in road construction. When water seeps into cracks in the road surface, it can freeze and expand during colder temperatures, causing the pavement to crack and weaken. As vehicles drive over these weakened areas, the pavement can break apart and create a depression, which eventually turns into a pothole. Additionally, the constant pressure and friction from passing vehicles can further deteriorate the road surface, leading to the formation of potholes.

  • What are the damages caused by potholes?

    Potholes can cause a range of damages, including vehicle damage such as flat tires, bent rims, and suspension damage. They can also lead to accidents and injuries if drivers swerve to avoid them or lose control when hitting them. Potholes can also cause damage to roads and infrastructure, leading to costly repairs and maintenance. Additionally, they can contribute to increased fuel consumption and air pollution as vehicles have to navigate around them or slow down to avoid damage.

  • Does comprehensive insurance cover damages caused by potholes?

    Comprehensive insurance typically does not cover damages caused by potholes. Pothole damage is usually considered a collision-related issue, which would fall under collision coverage. Comprehensive insurance typically covers damages caused by events such as theft, vandalism, natural disasters, and hitting an animal. It's important to review your insurance policy or speak with your insurance provider to understand what specific damages are covered.

  • How do deteriorated roads with potholes look like?

    Deteriorated roads with potholes often appear rough and uneven, with patches of broken or missing pavement. Potholes are typically visible as depressions or holes in the road surface, varying in size and depth. The surrounding pavement may also show signs of cracking and crumbling. Overall, deteriorated roads with potholes can present a bumpy and hazardous driving surface for vehicles.

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  • Spatial Analysis with R : Statistics, Visualization, and Computational Methods
    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
    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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  • Crime Mapping and Spatial Data Analysis using R
    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.

  • Why are there almost no potholes on Dutch highways?

    There are almost no potholes on Dutch highways because of the high-quality construction and maintenance of the roads. The Dutch government invests heavily in infrastructure, using durable materials and advanced construction techniques to ensure the longevity of the highways. Additionally, regular maintenance and repair work are carried out to address any signs of wear and tear, preventing the formation of potholes. This proactive approach to road maintenance helps to keep the highways in excellent condition and minimizes the occurrence of potholes.

  • 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.

  • How are potholes formed and how can they be avoided?

    Potholes are formed when water seeps into cracks in the road surface, freezes, and expands, causing the pavement to break apart. The constant pressure from vehicles driving over these weakened areas eventually leads to the formation of potholes. To avoid potholes, proper road maintenance is essential. This includes filling cracks in the pavement, ensuring proper drainage to prevent water from accumulating, and timely repairs to damaged areas. Additionally, driving cautiously and avoiding sudden maneuvers can help minimize the impact of potholes on vehicles.

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