关于建设省级地理空间数据交换中心的思考

省级地理空间数据交换中心是国家空间信息基础设施建设的核心内容之一。本文针对现阶段在我国建设省级地理空间数据交换中心的问题，分析了其基本建设内容，提出了需解决和应用的关键技术。     

基于ArcGIS Engine的地理信息数据库管理系统设计与实现

随着社会的发展,空间信息在国土、规划等各领域的应用越来越广泛,且其容量也呈几何级增长,如何安全高效地管理、分发空间数据,成为深入应用地理信息系统功能的必要前提。本文以作者实际工作为基础,介绍了利用ESRI公司最新产品ArcGIS Engine开发包设计实现地理信息数据库管理系统的具体方法。     

发达国家空间信息共享与服务及启示

提高信息的共享与服务水平是一个国家迈向信息社会与服务型社会的重要举措,而空间信息共享与服务在其中占据十分重要的位置。许多发达国家在这方面走在前列,并在其经济社会发展中发挥着重要的作用。本文作者在对国外空间信息共享与服务进行分析比较研究的基础上,根据我国实际情况提出了关于空间信息共享与服务的体会和意见。     

矿产资源管理信息系统设计与开发

基于GIS的矿产资源管理信息系统采用地理信息系统(GIS)技术、SQL Server数据库技术以及网络技术,实现了矿产资源信息图形数据与属性数据统一管理,为矿产资源管理工作提供了现代化的科学管理手段和决策支持。本文介绍了系统的设计与实现、系统包含的工作模块、各个模块的功能结构以及采用的技术特点。     

基于空间信息网格（SIG）的矿产资源评价

随着GIS的普及和深化,空间信息的大数据量、高复杂性和难共享的问题对其研究和应用提出了新的挑战.空间信息网格(Spatial Information Grid,SIG)作为创新性的网络空间信息基础设施和技术体系,为解决这些问题提供了新的契机.本文在给出SIG基本定义和基本特征的基础上,就如何实现基于SIG的矿产资源评价进行了有益的探索和实践,并取得了很好的效果,为矿产资源评价提供了新的方法和思路.     

基于Oracle Spatial的矿山数据空间数据库的设计

分析了Oracle Spatial统一管理空间数据和属性数据的方法及优缺点,并介绍了Oracle 10g及Spatial的新特性。在此基础上给出了建立基于Oracle的对象-关系数据模型的适合统一存储和管理矿山数据的空间数据库的具体步骤和方法。     

The future of industrial cities and regions in central and eastern Europe

Economic transition in central and eastern Europe (CEE) has had a particularly strong impact on industrial cities and regions. Following their economic collapse, most of them are now confronted with serious problems such as high unemployment and vast ecological damage. The paper presents findings from a pan European research project that investigated the problems of these cities and regions as well as the strategies being adopted to cope with structural change. It examines the differences in approaches and addresses the question whether existing EU policy is suitable for supporting the redevelopment of old industrial cities and regions in CEE countries. The paper concludes with recommendations for future directions in policy making.     

A multi-equation spatial econometric model,with application to EU manufacturing productivity growth

A multi-equation spatial econometric model is used to explain variations across EU regions in manufacturing productivity growth based on recent theoretical developments in urban economics and economic geography. The paper shows that temporal and spatial parameter homogeneity is an unrealistic assumption, contrary to what is typically assumed in the literature. Constraints are imposed on parameters across time periods and between core and peripheral regions of the EU, with the significant loss of fit providing overwhelming evidence of parameter heterogeneity, although the final model does highlight increasing returns to scale, which is a central feature of contemporary theory.      

STAMP: spatial–temporal analysis of moving polygons

Research questions regarding temporal change in spatial patterns are increasingly common in geographical analysis. In this research, we explore and extend an approach to the spatial–temporal analysis of polygons that are spatially distinct and experience discrete changes though time. We present five new movement events for describing spatial processes: displacement, convergence, divergence, fragmentation and concentration. Spatial–temporal measures of events for size and direction are presented for two time periods, and multiple time periods. Size change metrics are based on area overlaps and a modified cone-based model is used for calculating polygon directional relationships. Quantitative directional measures are used to develop application specific metrics, such as an estimation of the concentration parameter for a von Mises distribution, and the directional rate of spread. The utility of the STAMP methods are demonstrated by a case study on the spread of a wildfire in northwestern Montana.      

Small-world characteristics on transportation networks: a perspective from network autocorrelation

Studies on small-world networks have received intensive interdisciplinary attention during the past several years. It is well-known among researchers that a small-world network is often characterized by high connectivity and clustering, but so far there exist few effective approaches to evaluate small-world properties, especially for spatial networks. This paper proposes a method to examine the small-world properties of spatial networks from the perspective of network autocorrelation. Two network autocorrelation statistics, Moran’s I and Getis–Ord’s G, are used to monitor the structural properties of networks in a process of “rewiring” networks from a regular to a random network. We discovered that Moran’s I and Getis–Ord’s G tend to converge and have relatively low values when properties of small-world networks emerge. Three transportation networks at the national, metropolitan, and intra-city levels are analyzed using this approach. It is found that spatial networks at these three scales possess small-world properties when the correlation lag distances reach certain thresholds, implying that the manifestation of small-world phenomena result from the interplay between the network structure and the dynamics taking place on the network.