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{ "item_title" : "Description Approaches and Automated Generalization Algorithms for Groups of Map Objects", "item_author" : [" Haowen Yan "], "item_description" : "This book focuses on the generalization of map features, providing descriptions and classifying groups of map objects into six categories: point clusters, groups of contours, road networks, river networks, continuous areal features and discrete areal features. Discussing the methods and algorithms in map generalization in equal measure, it also describes the approaches for describing map features.The book is a valuable reference for graduates and researchers who are interested in cartography and geographic information science/systems, especially those in automated map generalization and spatial databases construction.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/81/133/677/9811336776_b.jpg", "price_data" : { "retail_price" : "169.99", "online_price" : "169.99", "our_price" : "169.99", "club_price" : "169.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Description Approaches and Automated Generalization Algorithms for Groups of Map Objects|Haowen Yan

Description Approaches and Automated Generalization Algorithms for Groups of Map Objects

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Overview

This book focuses on the generalization of map features, providing descriptions and classifying groups of map objects into six categories: point clusters, groups of contours, road networks, river networks, continuous areal features and discrete areal features. Discussing the methods and algorithms in map generalization in equal measure, it also describes the approaches for describing map features.

The book is a valuable reference for graduates and researchers who are interested in cartography and geographic information science/systems, especially those in automated map generalization and spatial databases construction.

This item is Non-Returnable

Details

  • ISBN-13: 9789811336775
  • ISBN-10: 9811336776
  • Publisher: Springer
  • Publish Date: January 2019
  • Dimensions: 9.21 x 6.14 x 0.56 inches
  • Shipping Weight: 1.13 pounds
  • Page Count: 228

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