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Auteur : Zhilin Li
Catégorie : Livres anglais et étrangers,Professional & Technical,Engineering
Broché : * pages
Éditeur : *
Langue : Français, Anglais
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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Algorithmic Foundation of Multi-Scale Spatial Representation ~ Authored research monographs have also been published by researchers, e.g., Algorithmic Foundation of Multi-Scale Spatial Representation by Li (2007) and Integrating Scale in Remote Sensing and .
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Algorithmic Foundation of Multi-Scale Spatial ~ 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 .
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Algorithmic foundation of multi-scale spatial ~ Providing a mathematical foundation, Algorithmic Foundation of Multi-Scale Spatial Representation presents comprehensive coverage of all known algorithms available for the geometric transformations in spatial representation of different types of spatial features, such as point cluster, individual line, class of lines, individual area, and class of areas features.
Algorithmic Foundation of Multi-Scale Spatial ~ 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 of Multi-Scale Spatial ~ Algorithmic Foundation of Multi-Scale Spatial Representation (English Edition) eBook: Li, Zhilin: Amazon.nl: Kindle Store
Algorithmic Foundation of Multi-Scale Spatial Representation ~ 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
Algorithmic Foundation of Multi-scale Spatial Representation ~ foundation of multi-scale representation of spatial data”. The Gino Cassinis Award is sponsored by the Italian Society for Surveying and Photogrammetry and is presented to a scholar who has significantly enhanced the mathematical and statistical foundations of the photogrammetry, remote sensing or spatial information sciences in the four years preceding the ISPRS Congress. T wo experts at .
Algorithmic Foundation of Multi-Scale Spatial ~ 書名：Algorithmic Foundation of Multi-Scale Spatial Representation (Hardcover)，ISBN：0849390729，作者：Zhilin Li，出版社：CRC Press，出版日期：2006-10-01，分類：Algorithms-data-structures 資料結構與演算法
Algorithmic Foundation of Multi-scale Spatial ~ Algorithmic Foundation of Multi-scale Spatial Representation最新书评, 热门书评
Algorithmic Foundation of Multi-Scale Spatial Representation ~ 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
Li Zh. Algorithmic Foundation of Multi-Scale Spatial ~ 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 .
Algorithmic Foundation of Multi-Scale Spatial Representation ~ Algorithmic Foundation of Multi-Scale Spatial Representation. CRC Press, 2006-10-04. Hardcover. Good.. Algorithmic Foundation of Multi-Scale Spatial Representation by Zhilin Li. COVID-19 Update. October 3, 2020: Biblio is open and shipping orders. Read more here. Skip to content. Sign In; Register; Help; You have items in your cart. Toggle book search form. Select type of book search you .
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