CAJ | 학술논문

一致性是检验空间数据质量的重要指标之一。不一致性的存在将极大地降低空间数据可用性，空间数据不一致性通常表现为空间目标之间的明显矛盾或冲突，多出现于多源多尺度空间数据集成、更新和制图综合等过程中。针对由较大比例尺地图综合派生较小比例尺地图中河流与建筑物之间的拓扑冲突，提出了一种基于Morphing变换的拓扑不一致性处理新方法，并通过对比实验分析了该方法的合理性和有效性。
일치성시검험공간수거질량적중요지표지일。불일치성적존재장겁대지강저공간수거가용성，공간수거불일치성통상표현위공간목표지간적명현모순혹충돌，다출현우다원다척도공간수거집성、경신화제도종합등과정중。침대유교대비례척지도종합파생교소비례척지도중하류여건축물지간적탁복충돌，제출료일충기우Morphing변환적탁복불일치성처리신방법，병통과대비실험분석료해방법적합이성화유효성。
Cartographic generalizations make it more productive while deriving smaller-scale features from larger-scale topographic maps. Nowadays, cartographic generalization operators are more widely used than ever, such as simplification, smooth, etc. Sometimes, these operators may produce errors. For example, if a river at larger scale is smoothed improperly, then a building by the river side would drop into the water from the perspective of a map user. That is called an inconsis-tency, i.e., conflicts happen to a river and a building. Hence, a methodbased on morphing technique is proposed to handle these conflicts. Firstly, the boundary of a river at a larger scale and its corresponding boundary which is produced by gener-alization operators are extracted. Then, a conflicting zone which is covered by a building is excluded from the area ringed by both river boundaries. Secondly, morphing transformations are performed from boundary of alarger-scale river to the other side. Thirdly, with respect to the distance constraint, an optimal river boundary is interpolated. At the end of this paper, experiments demonstrate that the proposed method provides a promising solution for eliminating topological conflicts between a river and a building.