Map Parts


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Discover the fascinating world of maps.




There's a Map on My Lap! All About Maps


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Laugh and learn with fun facts about mapmakers, geography, compasses, and more—all told in Dr. Seuss’s beloved rhyming style and starring the Cat in the Hat! “You may travel the world, but no matter how far, with a map on your lap you will know where you are.” The Cat in the Hat’s Learning Library series combines beloved characters, engaging rhymes, and Seussian illustrations to introduce children to non-fiction topics from the real world! Go on a journey and learn: • how to read the latitude and longitude lines on a map • why a hiker uses a topographical map • why mapmakers use a scale and legends • and much more! Perfect for story time and for the youngest readers, There’s a Map on My Lap! All About Maps also includes an index, glossary, and suggestions for further learning. Look for more books in the Cat in the Hat’s Learning Library series! If I Ran the Horse Show: All About Horses Clam-I-Am! All About the Beach Miles and Miles of Reptiles: All About Reptiles A Whale of a Tale! All About Porpoises, Dolphins, and Whales Safari, So Good! All About African Wildlife Oh, the Lavas That Flow! All About Volcanoes Out of Sight Till Tonight! All About Nocturnal Animals What Cat Is That? All About Cats Once upon a Mastodon: All About Prehistoric Mammals Oh Say Can You Say What's the Weather Today? All About Weather The Cat on the Mat: All About Mindfulness




Catalogue of Printed Maps


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Crafting Interpreters


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Despite using them every day, most software engineers know little about how programming languages are designed and implemented. For many, their only experience with that corner of computer science was a terrifying "compilers" class that they suffered through in undergrad and tried to blot from their memory as soon as they had scribbled their last NFA to DFA conversion on the final exam. That fearsome reputation belies a field that is rich with useful techniques and not so difficult as some of its practitioners might have you believe. A better understanding of how programming languages are built will make you a stronger software engineer and teach you concepts and data structures you'll use the rest of your coding days. You might even have fun. This book teaches you everything you need to know to implement a full-featured, efficient scripting language. You'll learn both high-level concepts around parsing and semantics and gritty details like bytecode representation and garbage collection. Your brain will light up with new ideas, and your hands will get dirty and calloused. Starting from main(), you will build a language that features rich syntax, dynamic typing, garbage collection, lexical scope, first-class functions, closures, classes, and inheritance. All packed into a few thousand lines of clean, fast code that you thoroughly understand because you wrote each one yourself.




Catalogue


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A-Dick


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Records


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Geocomputation with R


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Geocomputation with R is for people who want to analyze, visualize and model geographic data with open source software. It is based on R, a statistical programming language that has powerful data processing, visualization, and geospatial capabilities. The book equips you with the knowledge and skills to tackle a wide range of issues manifested in geographic data, including those with scientific, societal, and environmental implications. This book will interest people from many backgrounds, especially Geographic Information Systems (GIS) users interested in applying their domain-specific knowledge in a powerful open source language for data science, and R users interested in extending their skills to handle spatial data. The book is divided into three parts: (I) Foundations, aimed at getting you up-to-speed with geographic data in R, (II) extensions, which covers advanced techniques, and (III) applications to real-world problems. The chapters cover progressively more advanced topics, with early chapters providing strong foundations on which the later chapters build. Part I describes the nature of spatial datasets in R and methods for manipulating them. It also covers geographic data import/export and transforming coordinate reference systems. Part II represents methods that build on these foundations. It covers advanced map making (including web mapping), "bridges" to GIS, sharing reproducible code, and how to do cross-validation in the presence of spatial autocorrelation. Part III applies the knowledge gained to tackle real-world problems, including representing and modeling transport systems, finding optimal locations for stores or services, and ecological modeling. Exercises at the end of each chapter give you the skills needed to tackle a range of geospatial problems. Solutions for each chapter and supplementary materials providing extended examples are available at https://geocompr.github.io/geocompkg/articles/.




Temple Bar


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Macmillan's Magazine


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