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：2008
卷号：XXXVII Part B2
页码：181-188
出版社：Copernicus Publications
摘要：Spatial distribution density is an important constraint in map generalization, which acts on a group of objects at meso level or a whole thematic class at macro level. However, the spatial distribution density is difficult to be formalized and evaluated, due to the lack of both common understanding and appropriate measurements. The paper proposes an object-oriented density measurement based on skeletonization of gap space so that density can be calculated with each object and its spatial territory, in contrast to other approaches. Using adaptive space partitioning technique, the measurement can be applied on network feature (e.g. road network, drainage network) or a group of map objects (e.g. buildings) to give insight into their spatial distribution density. The measure is then integrated into an evaluation process for the assessment of the preservation of the constraint. In the process, spatial distribution density is measured both on generalized objects and their corresponding non-generalized objects. Statistic analysis on the distance between target value and measured value is adopted for assessing whether the balance of object densities are preserved or not. Different types of evaluation of density are also discussed. At last, the paper evaluates the constraint on two test cases (building generalization) as a proof-of-concept
关键词：Cartography; Generalization; Computer Vision; Spatial modeling; Quality control
