Algorithmic Foundation of Multi-Scale Spatial Representation by Zhilin Li

By Zhilin Li

With the common use of GIS, multi-scale illustration has turn into a big factor within the realm of spatial facts dealing with. despite the fact that, no e-book thus far has systematically tackled the various points of this self-discipline. Emphasizing map generalization, Algorithmic starting place of Multi-Scale Spatial illustration addresses the mathematical foundation of multi-scale illustration, particularly, the algorithmic foundation.

Using easy-to-understand language, the writer makes a speciality of geometric alterations, with every one bankruptcy surveying a specific spatial function. After an creation to the basic operations required for geometric ameliorations in addition to a few mathematical and theoretical heritage, the e-book describes algorithms for a category of aspect features/clusters. It then examines algorithms for person line positive factors, equivalent to the aid of information issues, smoothing (filtering), and scale-driven generalization, by means of a dialogue of algorithms for a category of line gains together with contours, hydrographic (river) networks, and transportation networks. the writer additionally addresses algorithms for person sector beneficial properties, a category of region good points, and numerous displacement operations. the ultimate bankruptcy in brief covers algorithms for 3-D surfaces and 3D features.

Providing a radical therapy of low-level algorithms, Algorithmic starting place of Multi-Scale Spatial illustration offers the mathematical foundation for multi-scale representations of spatial data.

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