Plot Summary Index
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Index, A History of the
Author: Dennis Duncan
language: en
Publisher: National Geographic Books
Release Date: 2023-02-28
A New York Times Editors' Choice Book Named a Most Anticipated Book of 2022 by Literary Hub and Goodreads A playful history of the humble index and its outsized effect on our reading lives. Most of us give little thought to the back of the book—it’s just where you go to look things up. But as Dennis Duncan reveals in this delightful and witty history, hiding in plain sight is an unlikely realm of ambition and obsession, sparring and politicking, pleasure and play. In the pages of the index, we might find Butchers, to be avoided, or Cows that sh-te Fire, or even catch Calvin in his chamber with a Nonne. Here, for the first time, is the secret world of the index: an unsung but extraordinary everyday tool, with an illustrious but little-known past. Charting its curious path from the monasteries and universities of thirteenth-century Europe to Silicon Valley in the twenty-first, Duncan uncovers how it has saved heretics from the stake, kept politicians from high office, and made us all into the readers we are today. We follow it through German print shops and Enlightenment coffee houses, novelists’ living rooms and university laboratories, encountering emperors and popes, philosophers and prime ministers, poets, librarians and—of course—indexers along the way. Revealing its vast role in our evolving literary and intellectual culture, Duncan shows that, for all our anxieties about the Age of Search, we are all index-rakers at heart—and we have been for eight hundred years.
An Introduction to R for Spatial Analysis and Mapping
This is a new edition of the accessible and student-friendly ′how to′ for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from ‘zero to hero’, updating the now standard text to further enable practical R applications in GIS, spatial analyses, spatial statistics, web-scraping and more. Revised and updated, each chapter includes: example data and commands to explore hands-on; scripts and coding to exemplify specific functionality; self-contained exercises for students to work through; embedded code within the descriptive text. The new edition includes detailed discussion of new and emerging packages within R like sf, ggplot, tmap, making it the go to introduction for all researchers collecting and using data with location attached. This is the introduction to the use of R for spatial statistical analysis, geocomputation, and GIS for all researchers - regardless of discipline - collecting and using data with location attached.