基于eXist的GML数据管理

由于GML所采用的层次模型与关系模型之间存在重大差异,传统的关系模型不适合半结构化的GML数据的存储.针对该问题,本文从本原XML数据库(NXD)的角度,对GML空间数据存储问题进行了研究.首先分析了NXD的特征及其相对于XED的优势,然后对当前主流NXD的优缺点进行分析与比较,结合GML的特点,选用eXist对GML...     

分布式异构多级空间数据转换机制的研究与实现

目前GIS软件的种类繁多,数据格式极不统一,行业间GIS数据格式差异相当大,造成了重复建库、浪费资源、数据难以维护的局面。鉴于以上现状,本文提出了一种基于Web Service、GML技术的分布式异构多级空间数据转换的解决方案,旨在实现不同类型、不同存放介质GIS数据之间无损失的数据共享。提供给用户的使用程序逻辑概念清楚,操作简单,部署方便。     

基于GML的空间数据发布服务

从空间数据发布中存在的问题出发,提出了一种改进的基于GML的空间数据发布服务模型;剖析了该模型中用到的关键技术以及模型的工作机理;阐述了空间数据发布服务过程中显示层的地图浏览,业务逻辑层与显示层之间的通信,其他GIS数据格式到GML文档的转换,对GML文档的解析,GML到SVG的转换等关键步骤,充分说明了以GML为数据转换的中间格式在空间数据发布服务中的作用。     

基于Oracle Spatial的空间数据集成互操作模型

从互操作实际需求出发,利用Oracle Spatial空间数据存储特性,根据不同层次的互操作需求,从本地互操作和Internet互操作2个层次提出了一种基于Oracle Spatial的集成互操作模型,从而兼顾了部门内部对互操作效率的要求以及部门外部对互操作广泛适应性的要求。     

基于GML的国土规划多源异构数据集成模型

国土规划所需的数据来自于土地、水、矿产等多主题数据,数据生产、存储、调用的方式具有多样性,给数据集成应用带来了极大的困扰。为了解决这个问题,在分析地理标记语言(GML)格式特征的基础上,提出了一种基于GML的国土规划多源异构数据集成模型,分析了基于该模型的多源异构数据集成技术流程,实现了Map GIS数据、Arc GIS数据向GML数据的转换和集成分析。实践验证,该方法在一定程度上可满足国土规划应用的需求。     

数字城市中3维城市模型构建技术研究

3维城市模型标准化的研究,尚未引起国内学者的注意,本文以3维城市模型为研究对象,分析了CityGML模型的概念,专题模型的构建方法,给出了构建的实例,相信对从事相关工作的同行有着重要的参考价值和借鉴意义。     

A proposed framework for feature‐level geospatial data sharing: a case study for transportation network data

Current data sharing in the Internet environment is supported using metadata at the file level. This approach has three fundamental shortcomings. First, sharing data from different sources with different semantics, data models, and acquisition methods usually requires data conversion and/or integration like data conflation. This can be tedious and error‐prone. Second, data updated from one source cannot be automatically propagated to other related data or applications. Finally, data sharing at the file level makes it difficult to provide feature‐level data for searching, accessing, and exchanging in real time over the Internet. This paper addresses these three issues by proposing a standards‐based framework for sharing geospatial data in the transportation application domain. The proposed framework uses a standard data model—geospatial data model proposed by the Geospatial One‐Stop initiative to harmonize the semantics and data models without the use of data integration methods. It uses Geography Markup Language (GML) for geospatial data coding and feature relationship, which provides a basis to propagate the data update from one source to related other sources and applications, and to search and extract data at the feature level. The framework uses the Web Feature Service (WFS) to search, access and extract data at the feature level from distributed sources. Finally, the Scalable Vector Graphics (SVG) standard was used for data display on the Web browser. Two transportation network datasets are used in the prototype case study to implement the proposed framework. The prototype allows the user to access and extract data at the feature level on the Web from distributed sources without downloading the full data file. It shows that the proposed standards‐based feature‐level data‐sharing system is capable of sharing data without data conflation, accessing, and exchanging data in real time at the feature level. The prototype also shows that changes in one database can be automatically reflected or propagated in another related database without data downloading.     

An SVG-based method to support spatial analysis in XML/GML/SVG-based WebGIS

XML/GML/SVG-based approaches are promising for building Web-based geographic information systems (WebGIS). However, current XML/GML/SVG-based WebGISs are lacking in spatial analysis. Some of them are designed for web mapping only. Others adopt a server-side solution for spatial analysis, which suffers from the ‘bottleneck’ problem and results in a high network transmission load. Load-balancing spatial analysis between server side and browser side can be used to solve the above problems. This article focuses on one of the key building blocks of load-balancing spatial analysis, that is, SVG-based spatial analysis which enables spatial querying and analysis directly on SVG (on the browser side). After analyzing the workflow of spatial analysis, we identify and focus on two key issues in providing spatial analysis on SVG: SVG-based spatial information representation and SVG-based spatial extended structured query language (SSESQL). For the first issue, a theoretical foundation is set up to develop an SVG-based spatial information representation model. Some spatial operators are designed and integrated into an SSESQL to support spatial querying on SVG. Finally, we design and implement two case studies. The results of these case studies show that the proposed method is feasible and operable in supporting spatial analysis directly on SVG on the browser side. The proposed method can be easily incorporated with some existing methods (e.g., GML-based spatial analysis on the server side) to provide load-balancing spatial analysis (load balancing between server side and browser side) in XML/GML/SVG-based WebGIS. As a result, users can access high-performance spatial analysis simply via a web browser (such as Internet Explorer and Firefox).     

基于GML原理的GPS气象学预警研究

GPS气象学预警和GML相结合会提高气象预警系统的即时性与安全性.GML异构数据的集成和空间数据共享令GPS进行定位外还提供地址解析的功能.在传统的GPS气象学预警系统基础上讨论了GML在GPS气象学预警系统中的尝试及使用GML技术后,GPS气象学预警系统所展现出新的特性,使之应用更广泛.     

基于Web服务和GML的空间数据发布

针对当前信息共享存在的问题,提出Web服务和GML解决问题的思路,并讨论在基于Web服务和GML的空间数据发布中采用的关键技术。