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：2000
卷号：XXXIII Part B4 (/1-3)
页码：75-74
出版社：Copernicus Publications
摘要：The automatic analysis of spatial data sets presumes to have techniques for interpretation and structure recognition. Suchprocedures are especially needed in GIS and digital cartography in order to automate the time-consuming data updateand to generate multi-scale representations of the data. In order to infer higher level information from a more detaileddata set, coherent, homogeneous structures in a data set have to be delineated. There are different approaches to tacklethis problem, e.g. model based interpretation, rule based aggregation or clustering procedures. In the paper, a parameterfreegraph-based clustering approach and an application in the domain of cartography, namely typification is presented.Typification is a generalization operation needed in order to present a set of objects by a subset of representatives. In thisway, a collection of objects can be represented by fewer objects in a symbolic representation. An important prerequisitefor the legibility of detailed representation is that the structure is preserved. This implies that object clusters are preserved
关键词：GIS; Clustering; Spatial Data Interpretation; Data Aggregation; Digital Cartography; Typification
