Algorithmic Foundation of Multi-Scale Spatial Representation

CRC Press

With the widespread use of GIS, multi-scale representation has become an important issue in the realm of spatial data handling. Focusing on geometric transformations, this resource presents comprehensive coverage of the low-level algorithms available for the multi-scale representations of different types of spatial features, including point cluster > 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 transfo.