A Method for High-Level Street Network Extraction of OpenStreetMap Data in OpenScienceMap

摘要

In order to generate vi sually and conceptually meaningful digital maps for small scales, it is necessary to select only the most relevant topological information to be displayed. On zoom levels covering continents, countries, or states there are usually far too many cities and a too dense street network to be shown on small or medium size displays. However, the decision of which cities and network links to show on the map cannot be done by an attribute- based selection of features. An adaptive method is required to thin out inform ation in densely populated areas while at the same time showing enough information for sparse areas. In this paper we introduce our approach to place and street network selection for mobile maps as implemented in OpenScienceMap.