多源矢量空间数据完整性评估

Evaluating Method for Completeness of Multi-source Vector Spatial Data

多源矢量空间数据的评估方法一直以来比较欠缺,目前主要依赖专家决策,不仅主观性强、执行效率低,而且使用门槛高。本文从矢量空间数据本身层次结构出发,提出了多源矢量空间数据完整性评估方法,既包括“定性”分析,又包括“定量”统计。几何数据方面,通过对要素层中点、线、面3种类型要素的数量统计进行度量。属性数据方面,从要素层、要素及属性字段3个层次进行全方位的评估,并提出属性项饱和度对属性项完整性统计描述。将评估结果通过可视化表达加以展现。实验证明,该方法科学全面、客观有效。

Evaluating methods for multi-source vector spatial data have been few and defective until now.Expert decision is a frequently-used method,but it relies on artificial participation,which means high-subjectivity and low-efficiency.And expert decision method is not convenient for common users.The paper puts forward an evaluating method for completeness of multi-source vector spatial data,which can evaluate completeness qualitatively and quantitatively.For the geometric data,the completeness is measured by statistical counting the number or size of the point,linear and areal feature in the feature coverage.For the attribute data,the completeness is evaluated from feature coverage,feature and attribute item,and the saturation of attribute item is brought forward to describe the completeness of attribute item.And the visualization expression of evaluate result is intuitive and vivid for common users.The experiments indicate that this method holds higher scientificity,comprehensiveness and efficiency.