摘要
针对多元、多尺度地理国情监测数据的统一空间化组织关联问题,该文基于2n一维整型数组地理坐标的全球剖分参考格网及区位标志模型,提出了一种具有全球通用性与唯一性的地理格网化区位标识方法。通过该标志方法,能够对不同类型、不同尺度的地理国情监测数据进行一致性剖分聚合及区位标志,有利于提高同一区域内各类地理国情监测数据的整合与综合应用服务效率,同时为开展以地球剖分格网为空间统计单元的地理国情监测数据的统一空间组织关联提供了一种有效解决思路。
Aiming at unified spatial organization and association problems of multi-type and multi-scale geographical national conditions monitoring data, based on geographical coordinate subdivision grid with one-dimension-integer coding on 2n-tree （GeoSOT）and its location identification model, a method of geo- graphic-grid location identification with global commonality and uniqueness was proposed in this paper. By this method, geographical conditions monitoring data of different type and different scale could be consis- tency subdivided and identified, which was helpful to improve data integration and application service effi- ciency of geographical national conditions monitoring data that belong to a same geographical region. At the same time, this method could also provide an effective solution for the unified spatial organization and as- sociation of geographical national conditions monitoring data that take global subdivision grid as the spatial statistical unit.
出处
《测绘科学》
CSCD
北大核心
2016年第4期89-92,107,共5页
Science of Surveying and Mapping
关键词
地理国情监测
区位标志
全球剖分
地理编码
geographic national conditions monitoring
location identification
global subdivision
geocoding
作者简介
肖恰（1979-），女，湖北武汉人，硕士，主要研究方向为地理信息工程与应用。E-mail：xiaoqia7912@126．com
