Global Reference Grids for Big Earth Data

作     者：Robert G.Gibb Matthew B.J.Purss Zoheir Sabeur Peter Strobl Tengteng Qu 

作者机构：Manaaki Whenua–Landcare ResearchPalmerston NorthNew Zealand Pangaea Innovations Pty.LtdCanberraAustralia Department of Computing and InformaticsTalbot CampusUniversity of BournemouthBournemouthUK European CommissionJoint Research Centre(JRC)IspraItaly College of EngineeringPeking UniversityBeijingChina 

出 版 物：《Big Earth Data》 (地球大数据（英文）)

年 卷 期：2022年第6卷第3期

页      面：251-255页

核心收录：

学科分类：12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0708[理学-地球物理学] 0816[工学-测绘科学与技术] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：DGGS are supported by both the Open Geospatial Consortium (OGC) and the International Organization for Standardization (ISO) TC211 standards (OGC Abstract Specification – Topic 21  ISO 19170-1). These published specifications support 2D equal-area DGGS of the Earth’s surface. Current work led through both OGC and ISO/TC-211 is drafting standards to specify 3D (3D & equi-volume)  4D (spatio-temporal) and axis-aligned DGGS  as well as OGC API DGGS  interface encodings for DGGS infrastructures. The continued effort to develop international standards for DGGS will support the implementation of standardised interoperable Global Reference Grid Infrastructures that can support efficient and scalable integration of Big Earth Data across multiple organisations around the world 

主　　题：operations simplified partition 

摘      要：The emerging field of Discrete Global Grid Systems(DGGS)provides a way to organise,store and analyse spatio-temporal data at multiple resolutions and scales(from near global scales down to microns).DGGS partition the entire planet into a discrete hierarchy of global tessellations of progressively finer resolution zones(or cells).Data integration,decomposition and aggregation are optimised by assigning a unique spatio-temporal identifier to each *** identifiers are encodings of both the zone’s location and its *** a result,complex multi-dimensional,multi-resolution spatio-temporal operations are simplified into sets of 1D array and filter operations.