Diffusion of Spatial Data Infrastructures： Private More Inspired than the Public Sector---A Case of Tanzania

Spatial data is a key resource for national development. There is a lot of potential locked in spatial data and this potential may be realized by making spatial data readily available for various applications. SD1 （Spatial Data Infrastructures） provides a platform for the data users, producers and so on to generate and share spatial data effectively. Though efforts to develop spatial data infrastructures started worldwide in the late 1970s, SDIs are still perceived by many institutions as new innovation; as such, they have not penetrated to all institutions to bring about effective management and development changes. This paper is reporting on a study conducted to assess SDI Readiness Index for Tanzania. The study aimed at identifying problems undermining SD1 implementation in Tanzania, despite its potential in bringing fast socio-economic development elsewhere in the world. This paper is based on a research based on views from stakeholders of geospatial technology industry in Municipal Councils, Private Companies and Government Departments in Tanzania. Results indicated that Private Companies are more inspired than Government institutions towards implementation of SDIs. And those problems affecting implementation of SDIs are lack of National SDI Policy, lack of awareness and knowledge about SDIs, limited funding to operationalise SDI, lack of institutional leadership to coordinate SDI development activities, lack of political commitment from the Government. It is recommended that delibate efforts be devised to raise awareness of SDI amongst the Tanzanian community.

A Diachronic Perspective on the Use of French Spatial Data Infrastructures

Despite the recent development of many worldwide initiatives, there is still a need for the development of observation frameworks that will provide a comprehensive view of SDI’s use. Amongst the many challenges left, a thorough analysis of the information flows between existing SDIs as well as their respective uses and the way that those evolve over time is an important issue to explore. The research presented in this paper introduces a methodological framework oriented to the study of the SDIs use from a diachronic perspective. The approach is based on a Social Network Analysis (SNA) and questionnaires collected by online surveys. We develop a structural and diachronic analysis based on a series of graph-based measures identifying the main patterns that appear over time. The methodological framework is applied to a series of French SDIs and users involved in environmental management. The study identifies a series of structural differences in the data flows that emerge between the users and SDIs. Last, the diachronic network analysis provides an overall understanding on how data flows evolve over time at different institutional levels.

省域SDI建设1比1万数据生产工艺设计与实践

本文结合笔者近两年来参与山西省空间数据基础设施（SXPSDI）项目建设的具体实践和体会，重点阐述了省域空间数据基础设施建设前期，1：1万基础数据（包括数字正射影像、数字高程模型和交通、水系等框架矢量数据）生产工艺的设计思想、设计原则，以及SXPSDI数据采集工艺设计的主要内容。

A brief overview of current status of European spatial data infrastructures-relevant developments and perspectives for Bulgaria

The paper aims to present a concise overview of the current status of the national spatial data infrastructures(SDI)of the European Union(EU)member states combined with specific peculiarities for Bulgaria.Some major challenges within the progress of the EU SDIs establishing,which is regulated by the European Directive INSPIRE(Infrastructure for spatial information in Europe)toward establishment of a SDI for environmental policies and activities,are marked out.Available comparative analyses of the main indicators for metadata,data-sets,and data services provided by EU member states are briefly discussed as a special attention is given to the Bulgarian progress.Recent achievements on accelerating the process of implementing the recommendations of the INSPIRE Directive in Bulgaria are outlined.

Governance interactions of spatial data infrastructures: an agent-based modelling approach

In order to facilitate and coordinate spatial data sharing and exchange,many organisations have developed spatial data infrastructures(SDIs).SDI governance plays a pivotal role in the development and evolution of an SDI,but as SDIs are complex adaptive systems,governing is a challenge.This research therefore proposes a complexity perspective to SDI governance by exploring the use of agent-based modelling to simulate and examine SDI governance interactions.In this agent-based simulation,we examine interactions between SDI stakeholders,data availability and the effects of different governance styles(hierarchical,network and laissez-faire governance)and budget policies.The simulation shows that it is possible to mimic SDI governance dynamics through agent-based modelling.By running different scenarios,it appears that a network approach is more successful compared to a hierarchical or laissez-faire approach.Expert validation shows that overall the results of the simulation are credible and insightful,although improvements can be made to make the model more realistic.With agent-based modelling,SDI governance becomes more tangible and visible,which facilitates discussion and understanding.Agent-based modelling therefore appears to be a helpful new approach in a better understanding of the complexities and dynamics of SDI governance.

Open data in spatial data infrastructure:the practices and experiences of Poland

As an important facilitator in e-government and society in general,Open SDI merits an assessment of its characteristics and the monitoring of its development.The aim of the study was the proposal of the SDI openness assessment approach based on existing openness assessment frameworks,as well as the presentation of the Polish Spatial Data Infrastructure(PSDI)development towards openness.The results indicated that ten geodetic and cartographic databases fulfilled ten out of eleven criteria of data openness,according to the methodological assumptions,and reached a 3-star level of openness.The need for further development of the infrastructure towards sharing public administration data is recognized,as well as non-governmental data that meet the open data criteria,thus contributing to the openness of the SDI.The proposed assessment method,referenced to a five-level data openness system and providing clear scoring benchmarking for assessing SDI openness,may be used for comparative analysis of SDI openness in different countries,including EU Member States that draw on the experience of the implementation of the INSPIRE Directive.

武汉市地理空间信息共享服务平台的建设与应用

武汉市地理空间信息共享服务平台建设是"数字武汉空间数据基础设施"建设的核心内容。该平台按照"数字城市"的理念和框架,集成了武汉市多源、多尺度、多时态的空间数据,实现了跨部门、跨平台的空间信息共享共用,为政府部门和相关行业提供在线的地理信息网络服务,在武汉市经济社会发展和和谐社会建设中得到了广泛应用。

基于网格虚拟组织的空间数据基础设施探讨

网格(Grid)是新型高效的分布式计算和资源管理基础设施。分析了空间数据基础设施(Spatial Data In-frastructure,SDI)与网格技术的集成需求,扩展了传统SDI层次体系,提出一种新的SDI—基于网格虚拟组织的SDI(Virtual Organization SDI,VOSDI)。VOSDI突破原有SDI以明确的地区或地域分类分层组织的方式,通过VO对地理上分布的人员、资料及空间信息进行有效组织和整合,具有灵活高效的特性。对VOSDI的功能、特性进行探讨后,进一步提出VOSDI的概念模型,并指出VOSDI实施中可能存在的问题。

重庆市信息化测绘标准建设分析

从信息化测绘的技术发展背景、国家信息化测绘标准建设状况以及重庆市空间数据基础设施(SDI)建设的实际情况出发,结合国家地理空间基础设施总体框架要求与重庆市各行各业信息化对地理信息数据基础的基本需求,总结出重庆市地理信息基础设施数据建设的基本内容,从而探讨重庆市信息化标准体系的建设内容和保障机制,并介绍了已经编制完成的标准情况,提出了今后在标准建设过程中存在的问题和相关建议。

Stakeholder analysis of the governance framework of a national SDI dataset-whose needs are met in the buildings and address register of the Netherlands?

National spatial data infrastructures are key to achieving the Digital Earth vision.In many cases,national datasets are integrated from local datasets created and maintained by municipalities.Examples are address,building and topographic information.Integration of local datasets may result in a dataset satisfying the needs of users of national datasets,but is it productive for those who create and maintain the data?This article presents a stakeholder analysis of the Basisregistratie Adressen en Gebouwen(BAG),a collection of base information about addresses and buildings in the Netherlands.The information is captured and maintained by municipalities and integrated into a national base register by Kadaster,the Cadastre,Land Registry and Mapping Agency of the Netherlands.The stakeholder analysis identifies organisations involved in the BAG governance framework,describes their interests,rights,ownerships and responsibilities in the BAG,and maps the relationships between them.Analysis results indicate that Kadaster and the municipalities have the highest relative importance in the governance framework of the BAG.The study reveals challenges of setting up a governance framework that maintains the delicate balance between the interests of all stakeholders.The results provide guidance for SDI role players setting up governance frameworks for national or global datasets.

科研信息化基础设施的大数据挑战

首先探讨大数据科学（Big Data Science）给现代和未来科研数据基础设施（SDI）带来的挑战，并参考不同科研团体的工作对数据管理、访问控制和安全要求进行定义，然后介绍科研数据生命周期管理（SDLM）模型，分析所有的主要阶段，反映现代e—Science的数据管理特性，提出SDI通用架构模型，为利用现代技术和最佳实践构建以互用性数据或项目为中心的SDI奠定了基础，最后对如何利用基于云的现代基础设施服务配置模型顺利实现文中提出的SDLM和SDI模型进行阐述，解决SDI资源的联合访问控制问题，为科研团体提供了一种灵活的访问控制和身份管理模型。

综合数字区域模型和大范围有机废弃产品处理的测试系统的开发(英文)

综合数字区域模型在区域可持续发展的任何模型实现中都是不可或缺的,而空间数据基础设施为综合数字区域模型提供了一个可靠的基础。其可以很方便地在地图信息或者直接在地理信息系统(GIS)内形成。这种GIS系统具有开发良好的模型函数,能够集成专家系统,也能被设计全尺度多媒体产品。GIS允许集成不同的信息资源、模型、可视化和分析、各种假设的详尽细节和为诸如自然-社会-经济等的复杂系统提供可选开发方案。一个综合辅助信息系统的结构包括紧密相关的社会-政治、经济(或生产)、自然资源和环境模块。它提供了对于不同区域范围社会生态系统的全面描述,显示了自然和人类资源的重要性。人们在这个研究领域将会谈及自然和社会管理。根据它们的变化层次体系(从全局范围到局部范围)可以描述所有专题,并且考虑在不同尺度上描述的现象的专业特征。超媒体系统原理可以通过链接集成主题来实现。这种系统的日益复杂性使得系统的智能化成为必要,专家系统和神经元网络可以从很复杂并且非常模糊的问题中得出可行的解决方案。现代GIS配有很多设备,对用户来说,这使得用基础地图和互联网获取必要的数据来编制专题图成为可能。数学建模的专业方法具有特殊的重要性,特别是那些旨在追求在区域变换到可持续发展模型时设想的详尽细节的方法。最高级的AIS能作为全尺度的决策支持系统使用。莫斯科国立大学试图实现上述思想,开发了俄罗斯可持续发展信息系统框架,特以俄罗斯南部地区为一案例。该示例一方面作为更大区域即国家的一部分进行描述,另一方面作为一个或多或少、基于资源发展的单元进行描述。也能对区域发展战略和改革措施提出建议。我们已经对所有俄罗斯地区进行了分类,并且指出了不同组(工业、农业等)的最典型代表。将精心设计几个系统的区域分支来描述整个国家的不同地域类型。计算机辅助信息系统提供用户以各种各样传统地图集的计算机的模拟,为决策者对未来的设计和区域发展变量评估等创造了条件。我们正在开发一个大范围有机废弃产品处理的测试GIS系统。其主要目标是为在废弃物储存和掩埋场所的生物降解进行方法研究。其应用包括:存放生活和工业废品的场所的使用和改进(包括工业和农业的场所和废品产生的地方);污水处理设备的建设和重建等。

SDI planning using the system dynamics technique within a community of practice:lessons learnt from Tanzania

There exist major challenges in accelerating the spatial data infrastructure(SDI)planning process in the developing countries as well as advocating for politicians to support the development of SDI,due to the high complexity of SDI,lack of knowledge and experience,and limited insight in the benefits.To address these challenges,a methodology for SDI planning in Tanzania,based on the system dynamics technique and the communities of practice concept,was adopted and applied within a community consisting of experts from stakeholder organizations.The groups gathered to develop an SDI plan,while they shared their knowledge and discussed their ideas that helped their understanding of SDI.By running the system dynamics model,the development of SDI over time could be simulated that gave the planning community an insight about the future effects of today’s plans and decisions.Finally,an optimum model could be developed by refinements and improvements done with the consensus of the SDI stakeholders.This model included the components and policies that are essential for a successful SDI implementation in Tanzania and can be used as a basis for SDI planning and help to gain political support.Lessons learnt from this research were promising regarding the usability of the methodology for SDI planning in comparable countries.

面向对象集成化空间数据库管理系统的设计与实现

新一代地理信息系统要求矢量、影像和DEM数据集成化管理。本文提出了一种基于面向对象思想的矢量、影像和DEM三库集成的空间数据模型 ,讨论了集成化空间数据库管理系统的实现方式。该空间数据库管理系统已作为GIS软件GeoStar的核心 ,被用于中国的空间数据基础设施建设 ,管理国家级、省级和市级的多数据源、多比例尺的空间数据 。

On generalised and specialised spatial information grids: are geo-services ready?

After the set-up of a spatial data infrastructure(SDI)and a national information infrastructure(NII)in many countries,the provision of geo-services became one of the most important and attractive tasks.With the integration of global positioning system(GPS),geographic information system(GIS)and remote sensing(RS),we can,in principle,answer any geo-spatial related question:when and where what object has which changes?An intelligent geo-service agent could provide end-users with the most necessary information in the shortest time and at the lowest cost.Unfortunately there is still a long way to go to achieve such goals.The central component in such geo-services is the integration of the spatial information system with a computing grid via wire-and wireless communication networks.This paper will mainly discuss the grid technology and its integration with spatial information technology,expounding potential problems and possible resolutions.A novel categorising of information grids in the context of geospatial information is proposed:generalised and specialised spatial information grids.