基于FME语义映射的数据转换及应用

在详细介绍FME语义映射和转换规则的基础上,分析了FME的空间数据转换机制和简单语义转换规则的不足,并基于自定义映射文件提出了一种在DOS环境下进行批量数据转换的高效方法,最后以DGN到DWG格式的数据转换实例探讨了实施FME语义转换的具体步骤。     

利用FME进行GIS数据的无损转换

在研究FME语义映射文件的组成格式、定义方法、执行过程的基础上,利用修改FME语义影射文件的方法,对DWG到SHAPE格式的数据无损转换进行了研究。结合科研项目,作者实现了数据从AutoCAD的DWG格式到ArcGIS的SHAPE格式的无损、快速、高效地转换,有效地解决了“如何实现数据在不同平台之间的转换,实现数据共享”这个制约GIS项目进度的瓶颈问题。     

ArcGIS Spatial ETL工具在基础地理信息数据库建设中的应用

在基础地理信息数据库建设生产过程中,多个工序涉及数据的转换、重构、合并等操作。利用ArcGIS提供的Spatial ETL工具可以实现这些操作的自动化与批量化执行,同时它基于FME的空间语义映射原则,可以确保数据在转换过程中高效、可靠。因此,在测绘实际生产中应用Spatial ETL工具,可以提高生产效率,降低人工粗差,进而提升产品质量。     

一种基于FME的GIS数据无损转换技术

通过对MapInfo、Arc/Info数据格式的分析,结合FME的数据转换机制,阐述一种基于FME实现大批量MapInfo格式数据到SHP格式数据的无损转换技术,采用这种技术较直接用GIS软件平台自带的转换工具进行数据转换,然后进行大量的人工处理工作,其效率有很大提高。具体做法为:生成FME语义映射程序文件-编写FME批处理文件-对比并校正转换结果。     

利用FME Suite实现MapGIS地图数据和Geodatabase间的语义转换

通过对Geodatabase和MapGIS数据模型的分析以及传统数据转换方式的探讨,提出了运用FME Su ite对Geodatabase和MapGIS地图数据进行语义转换的技术路线及技术优势,并以云南省国土资源数据交换中心为例详细论证了利用FME对Geodatabase和MapGIS间语义转换的实现方法和过程。     

基于FME语义映射文件实现ArcInfo至MapInfo数据转换技术研究

随着社会各行业对基础地理信息数据的需求日益增多,研究实现 ArcInfo 至 MapInfo 大批量图幅数据转换技术,为客户快速提供数据增值服务,具有重大的现实意义。提出了基于 FME 语义映射文件编程实现大批量图幅 E00格式至 MapInfo 格式高效转换的技术路线,并利用 FME 读取对照表方法解决了投影变换、编码代换、要素归类和符号化表示等技术难题。     

基于FME的CAD与GIS数据转换研究

针对不同时期、不同格式基础地理信息数据间的差异以及常用转换方法的不足,研究了AutoCAD与ArcGIS的数据异构性和基于语义转换的映射关系,提出基于FME的CAD数据至GIS数据转换方法,通过构建FME Workbench转换模板实现了CAD数据至GIS数据的批量转换和处理。以某市地形图为源数据进行实例论证,实验结果表明,该方法确保了数据转换的科学性、精确性和完整性,在保证"无损"图面效果的同时传达了完整的图属关系,提高了数据入库效率,有利于解决当前大数据背景下制约海量时空信息高效处理与共享的壁垒问题。     

利用FME Suite实现MapGIS地图数据和Geodatabase间的语义转换

论文通过对Geodatabase和MapGIS数据模型的分析以及传统数据转换方式的探讨,提出了运用FME Suite对Geodatabase和MapGIS地图数据进行语义转换的技术路线及技术优势,并以云南省国土资源数据交换中心为例详细论证了利用FME对Geodatabase和MapGIS间语义转换的实现方法和过程。     

Open Street Map的数据转换方法研究

众源地理数据,是指由大众采集并向大众提供的开放地理空间数据。其更新速度快、现势性强,有极大的发展潜力。针对这一热点,本文以Open Street Map项目为代表,对其数据格式分Node、Way及Relation 3种数据元素进行深入解析。进而利用FME软件、Arc GIS软件的Data Interoperability及Arc GIS Editor For OSM工具这3种数据转换工具对以郑州大学为例的OSM数据进行转换。结果显示,利用FME软件、Arc GIS Editor For OSM工具数据保存较完整,但有较为严重的属性丢失,而利用Arc GIS的Data Interoperability工具转换则会造成较严重的线元素数据丢失。鉴于上述3种方法的不足,提出一种利用C++对OSM数据的编程转换,这为下一步的数据关联工作打下了良好的基础。最后为更直观地查看OSM数据,基于C#及Arc GIS Engine二次开发工具对其进行了可视化,并实现了基本的地图操作。     

用FME编制地图入库数据转换程序的体会

本文以1：10000（v7）为例，阐述了基于FME转换平台的从dgn-tab的转换，重点讨论了通过fine语义转换程序对数据及数据库的读取转换以及应用。     

Effects of reverse geocoding on OpenStreetMap tag quality assessment

OpenStreetMap (OSM), a widely-used open-source geographic information system platform, provides a vast geographic dataset in which users contribute both geometric information (nodes, ways, and relations) and semantic information (tags). This method of voluntary contributions is governed by the collective effort of the users. It is widely acknowledged that the quantity of tag information is substantial, but its quality is often poor. Researchers are therefore trying to assess the quality of the tags and enhance the data through various integration experiments. This article investigates the validity of the tags for geographical objects in metropolitan areas using municipal data and a reverse geocoding technique. The proposed method evaluates the data quality and the matching process carried out by reverse geocoding, using municipal points of interest as a reference. The accuracy of the tag and address information and road network centrality metrics were assessed for the OSM objects that were matched to the locations of interest. The tags were found to match the points of interest with an accuracy of 88%. Furthermore, the tag values were categorized and analyzed based on their similarity. It is concluded that in metropolitan settings where centers of interest are closely located, the accuracy of tags and addresses tends to decrease.     

FME在地理信息系统互操作上的应用研究

介绍了GIS互操作技术,对FME平台体系结构和语义转换技术进行了分析,并概括了FME平台的特性和优势。     

Mapping the food environment: The reliability of volunteered geographical information and institutional data sources in France

The obesity epidemic and inequalities in access to food are prompting increasing numbers of food environment studies, which rely on secondary data sources for mapping. This article assesses the reliability of the two main food outlet data sources in France: the volunteered geographical information (VGI) collaborative map OpenStreetMap (OSM) and the national business register Sirene. Their information on food outlets was assessed through ground-truthing in the city-region of Montpellier. Sensitivity, positive predictive value, and concordance were computed for each database. We analyzed the socio-spatial variability of these measures according to households' income level. The sensitivity of Sirene is good and that of OSM moderate, while the opposite holds for positive predictive value, and the concordance of both OSM and Sirene is fair. Sirene provides more reliable data on deprived neighborhoods and OSM on wealthy neighborhoods. Caution is recommended regarding the classifications on which they are based, the time required to update the institutional database, and socially influenced contributions to VGI.     

OpenStreetMap data quality enrichment through awareness raising and collective action tools—experiences from a European project

ABSTRACT

Nowadays, several research projects show interest in employing volunteered geographic information (VGI) to improve their systems through using up-to-date and detailed data. The European project CAP4Access is one of the successful examples of such international-wide research projects that aims to improve the accessibility of people with restricted mobility using crowdsourced data. In this project, OpenStreetMap (OSM) is used to extend OpenRouteService, a well-known routing platform. However, a basic challenge that this project tackled was the incompleteness of OSM data with regards to certain information that is required for wheelchair accessibility (e.g. sidewalk information, kerb data, etc.). In this article, we present the results of initial assessment of sidewalk data in OSM at the beginning of the project as well as our approach in awareness raising and using tools for tagging accessibility data into OSM database for enriching the sidewalk data completeness. Several experiments have been carried out in different European cities, and discussion on the results of the experiments as well as the lessons learned are provided. The lessons learned provide recommendations that help in organizing better mapping party events in the future. We conclude by reporting on how and to what extent the OSM sidewalk data completeness in these study areas have benefited from the mapping parties by the end of the project.     

基于MySQL的测绘生产综合管理信息系统的设计与实现

基础测绘成果资料和用于测绘生产的计算机设备网络等都属于国家秘密,本文从当前测绘产品生产管理的工作实际需求出发,提出对用于基础测绘生产的计算机设备和测绘成果资料进行有效组织和管理的技术方案,设计基于MySQL的测绘综合管理信息系统,包括系统建设背景与目标、数据库平台的选择及系统的整体结构等,并对其3个主要功能模块测绘装备管理、测绘资料管理、测绘项目管理和应用情况进行了介绍。     

FME在数据转换中的应用

本文介绍基于FME空间数据转换系统。以基础地理信息数据为例,在AutoCAD格式数据与GIS格式数据之间构建映射关系文件,实现CAD数据到GIS数据转换的过程和方法。     

基于FME的数据库自动制图技术探索与实践

传统的制图多基于图形文件进行手工操作,本文提出了一种以数据库为数据源的自动成图技术.充分应用了FME对数据的强大操作功能,摸索出一套自动化成图技术,实现了数据库的连接与数据提取,自动完成标准分幅数据提取、图面及图框整饰以及地图的批量输出工作,实际应用效果良好。     

The Annotation Process in OpenStreetMap

In this article we describe the analysis of 25,000 objects from the OpenStreetMap (OSM) databases of Ireland, United Kingdom, Germany, and Austria. The objects are selected as exhibiting the characteristics of “heavily edited” objects. We consider “heavily edited” objects as having 15 or more versions over the object's lifetime. Our results indicate that there are some serious issues arising from the way contributors tag or annotate objects in OSM. Values assigned to the “name” and “highway” attributes are often subject to frequent and unexpected change. However, this “tag flip‐flopping” is not found to be strongly correlated with increasing numbers of contributors. We also show problems with usage of the OSM ontology/controlled vocabularly. The majority of errors occurring were caused by contributors choosing values from the ontology “by hand” and spelling these values incorrectly. These issues could have a potentially detrimental effect on the quality of OSM data while at the same time damaging the perception of OSM in the GIS community. The current state of tagging and annotation in OSM is not perfect. We feel that the problems identified are a combination of the flexibility of the tagging process in OSM and the lack of a strict mechanism for checking adherence to the OSM ontology for specific core attributes. More studies related to comparing the names of features in OSM to recognized ground‐truth datasets are required.