Terrain modeling has been a recognized topic for many years in the geo-sciences, and it has found wide application, especially since the introduction of GIS. Digital Terrain Modeling: Principles and Methodology is the only up-to-date reference to provide comprehensive coverage of the field. The author discusses terrain analysis (using terrain descriptors), data sampling strategy, data acquisition technology, data quality control, and the theory and methodology for surface modeling. Other topics include algorithms for triangulation formations, interpolation methods, models for the prediction...

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...