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The Rough Guide to New Zealand is the definitive guide to the world's adventure capital. Detailed accounts of every attraction, along with crystal-clear maps and plans, will show you the very best New Zealand has to offer - from the white sandy beaches and vast kauri trees in the north to the hairline fiords and penguin colonies in the south. Expert writers give you the tips you need for experiencing Maori culture and food, striking out on multi-day hikes, or tracking down Marlborough's tastiest sauvignon blancs. At every point, The Rough Guide to New Zealand steers you to little-known sights, like secluded hot pools, as well as popular places to hang out, such as Wellington's best cafés. Insider tips, planning itineraries, and author picks give you the inside scoop on the best accommodations across every price range. Make the most of your time with The Rough Guide to New Zealand.
A breakthrough book for readers seeking to dynamically change their lives for the better by confronting life's challenges and turning them into life's greatest adventures.
Describes the history and culture of New Zealand and offers tips on accommodations, restaurants, and sights.
This book walks readers through the improvements made to navigational instruments and printing techniques since the Age of Exploration. The development of accuracy in cartography-from Martin Waldseemüller's map of the world, the Mercator projection, and Lewis and Clark's expedition to railroad surveys, roadmaps, satellite imaging, and GIS technology-is also discussed. Readers will also discover ways mapmaking has impacted the history of the United States, including Mountain Men and the discovery of South Pass, the Oregon Trail, and the 49th parallel. Colorful maps and diagrams highlight the text, demonstrating these innovations and milestones. Informative sidebars, bold glossary terms, and an index enhance the engaging text and graphics.
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/.