By Zhilin Li

With the frequent use of GIS, multi-scale illustration has turn into a tremendous factor within the realm of spatial info dealing with. in spite of the fact that, no publication to this point has systematically tackled the several elements of this self-discipline. Emphasizing map generalization, Algorithmic starting place of Multi-Scale Spatial illustration addresses the mathematical foundation of multi-scale illustration, in particular, the algorithmic foundation.

Using easy-to-understand language, the writer specializes in geometric variations, with every one bankruptcy surveying a selected spatial characteristic. After an advent to the basic operations required for geometric changes in addition to a few mathematical and theoretical heritage, the ebook describes algorithms for a category of aspect features/clusters. It then examines algorithms for person line good points, corresponding to the aid of information issues, smoothing (filtering), and scale-driven generalization, through a dialogue of algorithms for a category of line positive factors together with contours, hydrographic (river) networks, and transportation networks. the writer additionally addresses algorithms for person sector good points, a category of quarter beneficial properties, and numerous displacement operations. the ultimate bankruptcy in brief covers algorithms for 3-D surfaces and three-D features.

Providing an intensive remedy of low-level algorithms, Algorithmic starting place of Multi-Scale Spatial illustration provides the mathematical basis for multi-scale representations of spatial data.

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Algorithmic Foundation of Multi-Scale Spatial Representation by Zhilin Li

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