Algorithmic Foundation of Multi-scale Spatial Representation 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Li, Zhilin 作者

CRC Pr I Llc

譯者

2006-10 出版日期

281 頁數

$ 158.14 價格

HRD

叢書系列

9780849390722 圖書編碼

Algorithmic Foundation of Multi-scale Spatial Representation 在線電子書圖書標籤: GIS

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發表於2024-09-09

Algorithmic Foundation of Multi-scale Spatial Representation 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Algorithmic Foundation of Multi-scale Spatial Representation 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Algorithmic Foundation of Multi-scale Spatial Representation 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

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Algorithmic Foundation of Multi-scale Spatial Representation 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Algorithmic Foundation of Multi-scale Spatial Representation 在線電子書圖書描述

With the widespread use of GIS, multi-scale representation has become an important issue in the realm of spatial data handling. However, no book to date has systematically tackled the different aspects of this discipline. Emphasizing map generalization, "Algorithmic Foundation of Multi-Scale Spatial Representation" addresses the mathematical basis of multi-scale representation, specifically, the algorithmic foundation. Using easy-to-understand language, the author focuses on geometric transformations, with each chapter surveying a particular spatial feature.After an introduction to the essential operations required for geometric transformations as well as some mathematical and theoretical background, the book describes algorithms for a class of point features/clusters. It then examines algorithms for individual line features, such as the reduction of data points, smoothing (filtering), and scale-driven generalization, followed by a discussion of algorithms for a class of line features including contours, hydrographic (river) networks, and transportation networks. The author also addresses algorithms for individual area features, a class of area features, and various displacement operations. The final chapter briefly covers algorithms for 3-D surfaces and 3-D features. Providing a thorough treatment of low-level algorithms, "Algorithmic Foundation of Multi-Scale Spatial Representation" supplies the mathematical groundwork for multi-scale representations of spatial data.

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