Download Algorithmic Foundation of Multi-Scale Spatial Representation by Zhilin Li PDF

By Zhilin Li

With the frequent use of GIS, multi-scale illustration has turn into an enormous factor within the realm of spatial info dealing with. targeting geometric alterations, this source provides complete assurance of the low-level algorithms to be had for the multi-scale representations of other different types of spatial beneficial properties, together with element clusters, person traces, a category of strains, person parts, and a category of parts. It additionally discusses algorithms for multi-scale illustration of three-D surfaces and 3D gains. Containing over 250 illustrations to complement the dialogue, the e-book presents the newest examine effects, equivalent to raster-based paintings, set of rules advancements, snakes, wavelets, and empirical mode decomposition.

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Algorithmic Foundation of Multi-Scale Spatial Representation (2006)(en)(280s)

With the frequent use of GIS, multi-scale illustration has turn into an incredible factor within the realm of spatial info dealing with. concentrating on geometric adjustments, this source provides entire assurance of the low-level algorithms to be had for the multi-scale representations of alternative different types of spatial positive factors, together with element clusters, person strains, a category of traces, person components, and a category of parts.

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Extra resources for Algorithmic Foundation of Multi-Scale Spatial Representation (2006)(en)(280s)

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1996, 1997a, 1997b, 1998). 1 BASIC MORPHOLOGICAL OPERATORS Because morphological operators are based on set operators, it is necessary to have a brief outline of set operators in this subsection. A spatial feature can be considered as a set. Then set operators can be employed to manipulate spatial features. These operators include union (∪), intersection (∩), difference (−), and so on. 12 illustrates the manipulation of two area features (A and B) by these set operators. There are two basic operators developed in mathematical morphology: dilation and erosion.

Smoothing: Making the line appear smoother. Typification: Keeping the typical pattern of line bends while removing some. There are two types of smoothing: filtering and curve fitting. Filtering means to filter out the high-frequency component (or small details) of a line so that the line appears smoother. fm Page 21 Monday, September 11, 2006 4:22 PM Introduction 21 curve through a set of points. In the author’s viewpoint, smoothing is not necessarily an operation for multi-scale representation of lines.

And McMaster R. , Cartographic generalisation in a digital environment: when and how to generalise, in Proceedings of Auto Carto 9, Baltimore, MD, 1989, pp. 56–67. Steward, H. , Cartographic generalization: some concepts and explanations, Canadian Cartographer, 11(10) (Suppl. 1), 1974. , Morphological Transformations for Generalization of Spatial Data in Raster Format. PhD thesis, Curtin University of Technology, Perth, Australia, 1997. , Web map design in practice, in Web Cartography: Developments and Prospects, Kraak, M.

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