CAJ | 학술논문

目前，国内外不同部门的空间数据管理系统彼此独立，数据共享检索效率低。针对此问题，本文提出了一种基于全球剖分网格的空间数据全文检索方法。该方法描述了基于全球剖分网格原理，根据地理空间实体的区位信息建立全球唯一的空间区位标识编码，通过全文索引引擎对空间区位标识编码建立全文索引，实现对地理空间数据的检索。通过对比试验可知，在大数据量的时候，基于全球剖分网格的空间数据全文检索方法比基于B+树的传统关系型数据库检索效率高，在海量空间数据的检索上具有一定应用价值。
목전，국내외불동부문적공간수거관리계통피차독립，수거공향검색효솔저。침대차문제，본문제출료일충기우전구부분망격적공간수거전문검색방법。해방법묘술료기우전구부분망격원리，근거지리공간실체적구위신식건립전구유일적공간구위표식편마，통과전문색인인경대공간구위표식편마건립전문색인，실현대지리공간수거적검색。통과대비시험가지，재대수거량적시후，기우전구부분망격적공간수거전문검색방법비기우B+수적전통관계형수거고검색효솔고，재해량공간수거적검색상구유일정응용개치。
At present, different departments have different spatial data management systems, which leads to low efficiency of data sharing. To solve this problem, a full-text retrieval method for spatial data based on global subdivision grid is put forward. Under the global subdivision grid system, each geospatial entity can be identified by a globally unique spatial location code according to its location information, so that spatial data can be retrieved efficiently using the full-text indexing engine by the location code. By comparison experiments under large amount of data, the full-text retrieval method based on global subdivision grid has higher efficiency than RDBMS based on B+-tree, which has certain value in massive spatial data retrieval application.