介绍了海量空间数据点四边形网格划分算法。
A quadrilateral mesh generation algorithm based on cloud data was introduced.
海量空间数据的处理需要通过空间索引来提高效率。
Spatial index is a key issue in massive spatial data processing.
空间数据引擎是实现海量空间数据存储和管理的解决方案。
Spatial data engine as a solving project is helpful to realize the mass spatial data's storage and management.
面对持续增长的海量空间数据，用户难以在没有知识辅助的情况下完全理解数据。
Faced with the large mounts of increasing spatial data, a terminal user has more difficulty in understanding them without the helpful knowledge from spatial databases.
渐进传输被认为是解决目前海量空间数据传输与实时用户体验之间矛盾的有效方法。
The progressive transmission strategy is considered to be an effective way to balance contradiction between scheduling the massive spatial data and the real time user experience.
随着GIS应用范围的扩大，如何利用计算机软硬件解决处理海量空间数据一直备受关注。
Along with the application extends of GIS, how to deal with the space data in software and hardware is always highly anticipated.
空间数据库引擎；空间数据库管理系统；多源空间数据无缝集成；调整和优化；海量空间数据。
Spatial Database Engine; Spatial Database Management System; Seamless Integration of Multisource Spatial Data; Adjusting and Optimizing; Massive Spatial Data.
针对GIS海量空间数据更新要求，研究了无线网络环境下空间数据传输和存储的副本动态复制与管理技术。
The technology of GIS spatial data transfer and storage is experiencing the development from wired network to wireless network at present.
空间数据管理网格将物理分布的空间数据在逻辑上组成一个超大虚拟的空间数据库，实现全国乃至全球的海量空间数据的管理。
Spatial data managing grid can integrate all distributed data into a super-large, virtual spatial DB, it can realize to manage magnanimity spatial data of the whole country or global.
设计实现了三维海量空间数据中边界点的提取算法，确保边界点提取的正确性，从而避免数据划分过程中带来的数据边界失真现象。
An algorithm of searching edge points in cloud data is presented which can ensure the correctness of edge points and avoid the edge distortion.
由于其海量和非结构化等特征，实体对象层次模型、群集多服务器体系被提出用以集成并实施高效的空间数据管理。
Because it's massive and unstructured, Feature-Oriented Object Level (FOOL) and Multi-servers cluster system are used to integrate and manage spatial data effectively.
空间数据仓库为数字地球提供了管理异质、异构海量信息的功能和面向数字地球的高层应用服务。
The spatial data warehouse provides the function of managing the heterogeneously magnanimous information and the service of digital earth oriented high level application.
传统的空间数据组织方式存在严重的不足，无法满足海量空间信息的存储与处理要求。
The method of spatial data organization in traditional spatial information system cannot meet the requirement of mass spatial data storage.
面对海量的林业空间与非空间数据，提取隐含的信息是“数字林业”急需解决的关键问题之一。
How to extract the implicit information from massive forestry data has been an urgent key task for us.
如何更好地表达、组织与处理全球多尺度空间数据，尤其是海量矢量数据，已成为GIS学者普遍关注的问题。
How to express, organize and process the global multi-scale spatial data better, particularly the massive vector data, has become a problem that attracts common attention from the GIS scholars.
数据网格是海量数据分布式管理和分析的基础设施，它实现了分布、异构空间数据的统一存储、管理、访问和传输。
Data Grid is the distributed management of large-scale data and the infrastructure analysis; it has implemented uniform storage, management, access and transmission of distributed, heterogeneous data.
当前，传统空间数据组织与模型的内在局限性已经不能完全满足大范围甚至全球多分辨率海量数据动态管理的要求。
Currently, traditional spatial data model with the inherent limitations can not fully satisfy the scope of the global multi-resolution massive data dynamic management requirements.
当前，基于无缝海量大表的空间及时态空间数据的存取效率亟待提高。
At present, access efficiency of spatial and spatiotemporal data based on seamless massive table mechanism needs solid improvement.
当前，基于无缝海量大表的空间及时态空间数据的存取效率亟待提高。
At present, access efficiency of spatial and spatiotemporal data based on seamless massive table mechanism needs solid improvement.
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