Spatial data storage model based on map calculus for online map generalization

Online map generalization has appeared as a vast and intricate research domain with growth of WEBGIS. The aim of this paper is to propose a “map calculus” storage model of spatial data for online automatic map generalization which is to change the traditional online automatic map generalization storage model of certain scales LOD on the basis of geographic cognitive model of domain. This model grounds on single large scale spatial data to accomplish the indefinite scales zoom of online maps which is based on map calculus and spatial nesting relations with utilizing the nesting character of semi-structured spatial data and provides a new way to explore the further implementation of online map indefinite scales automatic generalization. A simplified case study in the application domain of online cadastre involving is examined closely.