Clustering and visualization of earthquake data in a grid environment

We present a web client-server service WEB-IS, which we have developed for remote analysis and visualization of seismic data consisting of both small magnitude events and large earthquakes. We show that the problem-solving environment (PSE) intended for prediction of large magnitude earthquakes can be based on this WEB-IS idea. The clustering schemes, feature generation, feature extraction techniques and rendering algorithms form a computational framework of this environment. On the other hand, easy and fast access both to the seismic data distributed among distant computing resources and to computational and visualization resources can be realized in a GRID framework. We discuss the usefulness of NaradaBrokering (iNtegrated Asynchronous Real-time Adaptive Distributed Architecture) as a middleware, allowing for flexibility and high throughput for remote visualization of geophysical data. The WEB-IS functionality was tested both on synthetic and the actual earthquake catalogs. We consider the application of similar methodology for tsunami alerts.     

基于Web服务的土地适宜性评价PSE设计与实现

基于Web服务的PSE环境创建策略,结合土地适宜性评价工作的要求,研究土地适宜性评价PSE体系结构,设计了基于Web服务的土地适宜性评价PSE实验系统,并以武汉市黄陂区作为实验区,验证了该实验系统的有效性和合理性.     

基于PSE框架的多区域溢出分析器的构建

基于PSE(Problem Solving Environment)思想,围绕区域溢出这一特定的经济地理问题,讨论了多区域溢出分析器(MRSA)的开发问题。运用面向功能的演进原型方法分析系统功能,提出包括基础层、中间层和应用层的3层模型构建策略,并实现了系统的四大功能。通过介绍MRSA,阐明了经济地理领域的研究如何向地理信息科学提出需求,提供了针对某一特定经济地理问题构建系统的基本思路,为区域溢出分析可计算化提供了可能。     

基于PSE模型的矿业城市经济发展脆弱性研究

脆弱性是可持续发展的一个时间函数和空间函数.区域经济发展过程是一个不断抑制脆弱性实现螺旋式上升的过程.矿业城市经济发展的脆弱性具有典型的"压力(P)-敏感(S)-弹性(E)"的特征.据此,构建了一个矿业城市经济发展脆弱性评价模型,结合主成分分析法和熵值法,选取东北地区矿业城市作为案例进行评价,从脆弱性的视角来研究矿业城...