针对分布式环境下区域分片片段间的各种原始缝隙,提出一种3RM(Three Relational Matrix)缝隙处理模型。该模型采用两阶段流程,第1步划分空间计算单元,对区域分片边界处的要素进行聚类分组;第2步对各个空间计算单元进行缝隙处理。模型研究区域分片边界处缝隙的描述和区分方法,依据要素拓扑关系、属性关系以及精度3种关系建立了3RM缝隙处理矩阵,发现线状和面状要素在分片数据边界处的38种潜在的缝隙,并建立了相应的缝隙处理方法。运用3RM模型对异构的土地利用分片数据进行缝隙处理试验,试验结果表明,本文提出的缝隙处理模型能够有效处理实际分片数据当中的各种缝隙。

Aimed at various kinds of original gaps on zoned heterogeneous spatial data in distributed environment, this paper proposes a three-relational matrix (3RM) model. The model is divided into two phases. The first phase partitions the spatial computed unit using mapping rule or unified code and clusters the features of the zoned heterogeneous spatial data into groups. The second phase deals with the gaps in each spatial computed unit. The 3RM model focuses on the description and discrimination methods of the physical gaps on the zoned boundary. Based on the feature topology relation, attributive relation, and precision, the 3RM processing matrices are established. Meanwhile, 38 kinds of potential gaps in the zoned boundary of the linear and regional spatial objects are discovered, and respective processing methods are put forward. Finally, the actual distributed and zoned heterogeneous land use data are used in the gap-processing experiment using the 3RM model. The result indicates that the 3RM gap-processing model can deal effectively with various gaps in the actual zoned data and strongly support the seamless spatial analysis in distributed environment.