The integrated spatial databases of GeoStar

GeoStar is the registered trademark of GIS software made by WTUSM in China. By means of the GeoStar, multi-scale images, DEMs, graphics and attributes integrated in very large seamless databases can be created, and the multi-dimensional dynamic visualization and information extraction are also available. This paper describes the fundamental characteristics of such huge integrated databases, for instance, the data models, database structures and the spatial index strategies. At last, the typical applications of GeoStar for a few pilot projects like the Shanghai CyberCity and the Guangdong provincial spatial data infrastructure (SDI) are illustrated and several concluding remarks are stressed.     

Multi-resolution seamless image database

This paper presents the basic concepts and principles, data structure and high efficient spatial index for multi-resolution image database. The database is characterized by arrangement of multi-resource image data and seamless mosaic, distribution-based storage and management, integration with other spatial database software such as GeoStar and GeoGrid developed by Wuhan Technical University of Surveying and Mapping.     

Multi-resolution seamless image database

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Object-oriented spatial data organization and management in GeoStar

Spatial data, including geometrical data, attribute data, image data and DEM data, are huge in volume and relations among them are complex. How to effectively organize and manage those data is an important problem in GIS. Several problems about space data organization and management in GeoStar which is a basic GIS software made in China are discussed in this paper. The paper emphasizes on object model of spatial vector, data organization, data management and how to realize the goal, and the like.     

空间数据库系统的数据模型、存储方法及实现策略

空间数据库在天文、地理信息、城市规划等领域有广泛的应用,是目前研究的热点之一.详细介绍了空间数据库的数据模型、空间数据的操作、空间数据库上的查询及查询语言、空间数据库的存储方法,最后给出实现空间数据库的几个策略.     

空间数据库管理系统的概念与发展趋势

空间数据库管理系统是 GIS的核心 ,每一次空间数据库管理系统的技术变革都带来 GIS软件技术的革命。本文阐述了空间数据库管理系统的一些基本概念及发展历程 ,之后结合新一代 GIS软件 Geo Star,介绍了矢量、影像、DEM和属性数据一体化管理的数据模型及实现方法     

GeoImageDB 多分辨率无缝影像数据库系统的开发与实现

介绍了已开发实现的ＧｅｏＩｍ ａｇｅＤＢＶ２．０ 系统的组织、压缩与拼接,基于分布式的存储与管理,多尺度、跨工程、跨工作区任意分辨率影像数据空间索引与调度,与 ＧｅｏＳｔａｒ、ＧｅｏＧｒｉｄ 的集成,支持国家影像空间数据交换标准与输出等的基本原理、主要功能和特色。     

GeoStar与Coverage的空间数据模型比较研究

数据模型是GIS的灵魂和关键。首先分析了GeoStar和Arc/Info中Coverage的空间数据模型，然后就两种数据模型作了比较研究，结果显示GeoStar面向对象空间数据模型具有相对的优越性。     

空间数据库技术要点

主要介绍空间数据库的技术要点.包括3个方面：第一,空间数据模型,空间数据模型是空间数据库的核心,是空间数据库其他技术的基础;第二,空间数据索引,空间数据索引建立在空间数据模型的基础上,是空间数据查询的线索;第三,空间数据查询语言,空间数据查询语言提供了空间数据的访问和操作方法.这3个方面结合,使传统的关系数据库扩展到空间数据库,也使得能够方便、灵活地处理复杂的空间数据.     

论空间数据挖掘和知识发现

随着现代科技和传感器的发展和应用，复杂多变的空间数据日益膨胀，远远超出人的解译能力，迫切需要数据挖掘和知识发现为其提供知识。本文研究了空间数据挖掘和知识发现的含义、可发现的空间的关联、特征、分类和聚类等知识，以及它与数据挖掘与知识发现、机器学习、地学数据分析、空间数据库、空间数据仓库、数字地球等相关学科的关系，概述了SDMKD的产生和发展，分析和展望了SDMKD的应用开发。     

AutoCAD数据与Geostar数据转换的研究

运用OpenDWGToolkit和GeoStar二次开发工具GeoMap技术,采用面向对象的方法,利用VB6.0开发了从AutoCAD数据到GeoStar数据的转换程序。     

Integrated Storage and Querying of Spatially Varying Data Quality Information in a Relational Spatial Database

This article investigates a new, integrated technique for storing and retrieving spatially varying data quality information in a relational spatial database. Rather than storing global data quality statements, the system enables data quality information to be referenced to a spatial framework, individual spatial objects, or even parts of spatial objects. The integrated model, called as RDBMS for Spatial Variation in Quality (RSVQ), allows flexible storage of spatially varying data quality information, and seamless querying irrespective of the underlying storage model. RSVQ is founded on a formal model of relational databases, defining a new derived, polymorphic query operator      to join quality data with spatial data. The      operator is implemented in an extension to SQL as a new WITHQUALITY keyword. A performance evaluation of RSVQ was conducted, using an Oracle Spatial database and a case study of cadastral data for parts of Victoria, Australia. The results of this evaluation demonstrated that the system is practical and efficient for a wide range of queries, as well as indicating the performance trade-offs associated with the different data quality storage models. Using the integrated RSVQ approach provides the potential for a single, consistent, database engine for a wide range of existing and proposed spatial data quality management systems.     

空间数据挖掘中关联规则的支持度和可信度研究

空间数据挖掘中所依赖的空间相关性是由空间关联规则描述的.研究了事务集为粗糙集时空间关联规则支持度和可信度的计算方法;提出了当事务集为粗糙集、空间数据为模糊数据时的模糊粗糙关联规则.同时,推导了空间关联规则的支持度和可信度的变化规律.     

空间数据挖掘中关联规则的支持度和可信度研究

空间数据挖掘中所依赖的空间相关性是由空间关联规则描述的。研究了事务集为粗糙集时空间关联规则支持度和可信度的计算方法;提出了当事务集为粗糙集、空间数据为模糊数据时的模糊粗糙关联规则。同时,推导了空间关联规则的支持度和可信度的变化规律。     

内嵌式空间数据库优化器代价评估框架及实现

传统的优化器缺乏空间数据分布统计信息和空间算子的支持,不能评估和生成有效的查询执行计划。对此,提出了包含空间执行算子的一体化评估框架,根据重要属性及元组流属性实现了执行计划自底向上的代价推演计算。通过服务器端编程实现了利用概率累计扩展空间直方图模型描述空间数据的统计信息,并通过优化器接口计算空间谓词选择率,为优化器提供更为准确的代价参数,改进了评估的准确度。实验结果表明,采用此方法进行涉及空间查询的计算,理论代价估计与实际执行代价具有相对一致性,在统计值完整的情况下能够准确地估算实际较优的执行计划。     

空间数据发掘和知识发现的框架

探讨和提出了空间数据发掘和知识发现的理论技术框架，包括空间数据发掘和知识发现的定义与描述、理论框架、从空间数据库中可发现的知识类型及其应用、数据发掘与知识发现方法、空间知识发现系统的结构及开发方法等，最后探讨了空间数据发掘和知识发现的发展方向。     

An oracle-based data management method for large database in CyberCity GIS

An Oracle8i-based approach is proposed to manage the integrated databases of large CyberCity. This approach consists of three schemes: ? a special R+-tree index is designed to accelerate spatial retrieving, in which the bounding boxes of local regions have no intersection and all leaf nodes of the R+-tree (geometry records) have no repetition; ∪ different data compression algorithms are adopted to compress the digital elevation models, 3D vector models and images, such as LZ77 lossless compression algorithm for compression of vector data and JPEG compression algorithms for texture images; ? in order to communicate with Oracle8i database, a CyberCity GIS spatial database engine (SDE) is designed. On the basis of this SDE prototype a case study is done.     

从数字地图到空间信息网格--空间信息多级网格理论思考

提出了一种既适合网格计算环境又充分考虑到地球空间的自然特征和社会属性的差异性及经济发展不平衡的特点的空间信息表示新方法———空间信息多级网格。阐述了其体系结构 ,信息表示与数据存取 ,与传统的各种比例GIS空间数据库之间的数据转换及应深入研究的关键技术 ,并对其在国家和省市宏观决策中的应用可能性进行了讨论     

An Improved Hilbert Curve for Parallel Spatial Data Partitioning

A novel Hilbert-curve is introduced for parallel spatial data partitioning, with consideration of the huge-amount property of spatial information and the variable-length characteristic of vector data i...     

An oracle-based data management method for large database in CyberCity GIS

An Oracle8i-based approach is proposed to manage the integrated databases of large CyberCity. This approach consists of threeschemes: ① a special R -tree index is designed to accelerate spatial retrieving, in which the bounding boxes of local regions have no intersection and all leaf nodes of the R -tree (geometry records ) have no repetitiont;② different data compression algorithms are adopted to compress the digital elevation models, 3D vector models and images, such as LZ77 lossless compression algorithm for compression of vector data and JPEG compression algorithms for texture images;③ in order to communicate with Oracle8i database, a CyberCity GIS spatial database engine (SDE) is designed. On the basis of this SDE prototype a case study is done.