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Discover China Travel Guide

ebook

"Lonely Planet guides are, quite simply, like no other." —New York Times

Interactive and inspiring, Discover China highlights all the must-see sights and must-do experiences through stunning images, insider tips, tailored itineraries and easy-to-navigate content. Discover China is the ideal tool for planning and experiencing your perfect trip.

Our experienced, passionate team of authors and local experts immerse themselves in each country they visit, finding and sharing the unique experiences, and practical and honest advice, so you come away informed and amazed.

Regions covered: Beijing & the Great Wall, Xi'an & the North, Shanghai & the Yangzi Region, Hong Kong & the South, Best of Yunnan, Best of Sichuan, Best of the Silk Road

Inside Discover China:

  • Full color styling and images
  • Country, region and city maps
  • Itineraries organized by region, length of trip, or theme
  • Recommended points-of-interest – covering eating, sleeping, going out, shopping, activities and attractions
  • Local experts recommend what not-to-miss

    Special eBook enhancements

  • Scalable maps and images – enabling you to zoom in for greater detail
  • Google maps integration – see where you are and where you are going (requires internet connection)
  • Comprehensive interlinking – seamlessly flip between pages, jump between maps and reviews, or visit the websites of places we recommend
  • Search – jump straight to what you are looking for with inbuilt search capability
  • Add notes – touch a word to add notes and personalize your guidebook
  • Bookmark – use bookmarks to quickly return to a page
  • Dictionary –quickly look up the meaning of any word with the inbuilt dictionary

    Discover China is written and researched by Damian Harper, Piera Chen, Chung Wah Chow, David Eimer, Tienlon Ho, Robert Kelly, Michael Kohn, Shawn Low, Bradley Mayhew, Daniel McCrohan, Christopher Pitts.


  • Expand title description text
    Series: Discover Publisher: Lonely Planet Edition: 2

    OverDrive Read

    • ISBN: 9781743216583
    • Release date: July 6, 2013

    EPUB ebook

    • ISBN: 9781743216583
    • File size: 151638 KB
    • Release date: July 6, 2013

    Formats

    OverDrive Read
    EPUB ebook

    subjects

    Travel Nonfiction

    Languages

    English

    "Lonely Planet guides are, quite simply, like no other." —New York Times

    Interactive and inspiring, Discover China highlights all the must-see sights and must-do experiences through stunning images, insider tips, tailored itineraries and easy-to-navigate content. Discover China is the ideal tool for planning and experiencing your perfect trip.

    Our experienced, passionate team of authors and local experts immerse themselves in each country they visit, finding and sharing the unique experiences, and practical and honest advice, so you come away informed and amazed.

    Regions covered: Beijing & the Great Wall, Xi'an & the North, Shanghai & the Yangzi Region, Hong Kong & the South, Best of Yunnan, Best of Sichuan, Best of the Silk Road

    Inside Discover China:

  • Full color styling and images
  • Country, region and city maps
  • Itineraries organized by region, length of trip, or theme
  • Recommended points-of-interest – covering eating, sleeping, going out, shopping, activities and attractions
  • Local experts recommend what not-to-miss

    Special eBook enhancements

  • Scalable maps and images – enabling you to zoom in for greater detail
  • Google maps integration – see where you are and where you are going (requires internet connection)
  • Comprehensive interlinking – seamlessly flip between pages, jump between maps and reviews, or visit the websites of places we recommend
  • Search – jump straight to what you are looking for with inbuilt search capability
  • Add notes – touch a word to add notes and personalize your guidebook
  • Bookmark – use bookmarks to quickly return to a page
  • Dictionary –quickly look up the meaning of any word with the inbuilt dictionary

    Discover China is written and researched by Damian Harper, Piera Chen, Chung Wah Chow, David Eimer, Tienlon Ho, Robert Kelly, Michael Kohn, Shawn Low, Bradley Mayhew, Daniel McCrohan, Christopher Pitts.


  • Expand title description text