期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2004
卷号：XXXV Part B4
页码：1221-1226
出版社：Copernicus Publications
摘要：Technological development in the field of map and spatial database generalization is very fast, following the trend from manual cartography to computer-based cartography. Map generalization is an integral part of spatial data collection, representation and access. Most generalization algorithms developed and employed by the GIS industry and the computer science community have been tailored for map production. This paper firstly introduces "derivative mapping" from a seamless database as a very active research and development topic. This is an area of interest to many national mapping agencies, academia, map and spatial data providers and users across the spatial industry. It deals with a derivation of smaller scale map products from a detailed single master database. Then the paper provides a brief review of "generalization". This covers the concepts of cartographic generalization, model generalization and generalization operators. It also highlights existing generalization software packages. Finally, it presents a framework to generalize a road network database from GEODATA TOPO-250K. The framework will be used to produce small scale maps at 1:500,000 and 1:1,000,000 using generalization operators from ArcGIS. The overall aim is to integrate generalization algorithms with cartographer's intuition and skills in order to derive acceptable results
