摘要
如何对空间数据进行有效管理和综合应用,特别空间数据的增量级联更新、集成与融合问题,是当前GIS发展中的一项课题。多源异构数据融合的前提是对不同空间数据中的同一地理实体进行识别,建立数据之间的匹配关系,进行一致性处理。本文对多源空间矢量数据产生差异的原因、多源空间矢量数据不一致的表现特征进行归纳;本文介绍多源空间矢量数据一致性处理的必要性,即能够实现数据的有效融合、能够实现对数据质量的评估等;提出了多源空间数据一致性处理基本原则和方法,为相关的工作提供参考。
How to manage and synthesize spatial data effectively,especially the incremental cascade updating,integration and fusion of spatial data,is a subject in the current development of GIS.The premise and key of effective solution is identifying and consistency processing of the same elements in different versions of spatial data,and establishing the matching relationship between them.This paper summarize the difference causes of multi-resource vector data and performance characteristics of data inconsistencies.This paper introduces the necessity of multi-source spatial data consistency processing,that is,to achieve effective data fusion and to achieve the evaluation of data quality.At last this paper introduces basic principle,method and procedure of consistency processing methods on multi-source spatial data,thus providing reference for related research.
作者
张翼然
陶迎春
贾光军
刘光
左效刚
ZHANG Yiran;TAO Yingchun;JIA Guangjun;LIU Guang;ZUO Xiaogang(Beijing Institute of Surveying and Mapping,Beijing 100038,China;Beijing Key Laboratory of Urban Spatial Information Engineering,Beijing 100038,China)
出处
《北京测绘》
2019年第9期1011-1014,共4页
Beijing Surveying and Mapping
关键词
多源
矢量数据
一致性
multi-Source
vector data
consistency