Algorithmic Foundation of Multi-Scale Spatial Representation by Zhilin Li

By Zhilin Li

With the frequent use of GIS, multi-scale illustration has develop into an enormous factor within the realm of spatial info dealing with. notwithstanding, no booklet thus far has systematically tackled the various facets 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 ameliorations, with every one bankruptcy surveying a specific spatial characteristic. After an advent to the fundamental operations required for geometric alterations in addition to a few mathematical and theoretical history, the ebook describes algorithms for a category of element features/clusters. It then examines algorithms for person line good points, reminiscent of the relief of knowledge issues, smoothing (filtering), and scale-driven generalization, through a dialogue of algorithms for a category of line good points together with contours, hydrographic (river) networks, and transportation networks. the writer additionally addresses algorithms for person region positive aspects, a category of sector gains, and diverse displacement operations. the ultimate bankruptcy in brief covers algorithms for 3-D surfaces and 3-D features.

Providing a radical remedy of low-level algorithms, Algorithmic origin of Multi-Scale Spatial illustration provides the mathematical foundation for multi-scale representations of spatial data.

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