Principle of Uncertainty in Spatial Data and Spatial Analysis

Author: Shi Wenzhong
Publisher:
Publish Date: 2005-06-01
Features: In Earth Space Information Science, the main theoretical foundations include the cognition and expression of geographical phenomena, geospatial coding and geographic coordinate system theory, uncertainty theory, spatial data organization methods, and spatial analysis theory. This book provides an in-depth theoretical introduction to one of these topics—uncertainty principles in spatial data and spatial analysis. Its content includes: mathematical foundations of uncertainty, position error models for linear targets, uncertainty in digital terrain models, attribute uncertainty models, integrated models of position and attribute uncertainty, uncertainty theory of topological relationships between spatial objects, uncertainty modeling in spatial overlay analysis, uncertainty models in spatial buffer analysis, visualization of spatial data and analysis uncertainty, metadata models, spatial data mining based on uncertainty, and quality control of cadastral data. This book systematically summarizes the author's research achievements in this field over more than ten years. It is novel in content, rigorous in structure, and strong in theory. It can serve as a reference for researchers in GIS and related fields, university teachers, graduate students, and senior undergraduate students.