面向服务的数字泰州共享平台及其示范应用

服务共享是当前数字城市向智慧城市方向发展的关键技术之一。探讨了基于面向服务的数字城市共享框架,在此基础上以数字泰州建设为例设计并实现了一个面向服务架构的数字城市共享服务平台,为空间信息在城市信息化发展中的共享服务做出有益的探索和尝试。     

空间信息可视化的现状与趋势

对空间信息可视化的现状进行了较为细致的总结，分析了目前空间信息可视化存在的问题。在此基础上，讨论了空间信息可视化的完整概念，提出了空间信息可视化位置特征、交互性、多维性和可视化多样性的本质特征，概括了数据组织与调度、静态可视化、过程模拟与探索性分析等空间信息可视化基本过程。最后，提出未来空间信息可视化主要关键技术。     

Conjoint modeling of residential group preferences: A comparison of the internal validity of hierarchical information integration approaches

 In this paper, two approaches for measuring residential group preferences, based on the method of Hierarchical Information Integration (HII), are compared. In particular, the hypothesis that group-based preference models estimated from integrated HII experiments better predict group preferences than part individual-based group models estimated from classical HII experiments is tested. To that effect, the models' ability to predict group preferences for new residential alternatives is compared in a study of residential preferences of co-ops. Results indicate that integrated HII group experiments indeed result in better predictions of residential preferences.     

GPS-OEM在精准农业领域中的应用实例

介绍了我中心开发的内置有GPS—OEM板的农田信息采集系统，指出了GPS—OEM在精准农业领域发展潜力。     

分形学:现代地图学的非线性数学分析方法

分析了地图学的传统数学分析方法，讨论了对象复杂性与方法简单化的矛盾，阐述了分形几何学，为现代地图学研究的定量化、系统化提供了新的数学分析方法。     

基于MapXtreme的地理信息发布

随着近年来计算机技术的发展,尤其是网络技术的发展,GIS在组成结构和应用技术等方面已与传统的GIS技术有了很大的不同,基于MapXtreme/MapX的WebGIS则是GIS技术发展的趋势。本文简单介绍WebGIS的发展趋势,结合一些例子介绍了利用MapXtreme的地理信息发布的技术和原理。     

基于ArcGIS Server的医院网络地理信息服务系统

为解决目前医院地理信息服务系统在信息共享、空间分析等方面的不足,采用ArcGIS Server组件、C#编程语言、SQL Server数据库研发了医院网络地理信息服务系统。该系统以天地图作为基础地理数据,融合医院空间与医疗信息,并部署到互联网环境中。除具有医疗专题信息的网络浏览与查询外,系统还实现了诸多空间分析、地学统计等功能,既可为市民就医提供更全面的信息查询,又可为医疗事故的突发与应急提供技术支撑。     

规划管理信息系统中CAD集成应用研究

随着城市规划信息化建设的不断深入与完善,GIS已成为一种辅助规划管理必不可少的新技术,怎样实现GIS与广泛使用的CAD之间的集成,成为当前规划信息化建设工作中必须解决的一项课题。本文以宁波市规划管理信息系统为例,实现了CAD与GIS、MIS系统的集成应用,对图文进行一体化管理。     

Evaluation of environmental parameters in logistic regression models for landslide susceptibility mapping

Abstract

The aim of this study was to determine how well the landslide susceptibility parameters, obtained by data-dependent statistical models, matched with the parameters used in the literature. In order to achieve this goal, 20 different environmental parameters were mapped in a well-studied landslide-prone area, the Asarsuyu catchment in northwest Turkey. A total of 4400 seed cells were generated from 47 different landslides and merged with different attributes of 20 different environmental causative variables into a database. In order to run a series of logistic regression models, different random landslide-free sample sets were produced and combined with seed cells. Different susceptibility maps were created with an average success rate of nearly 80%. The coherence among the models showed spatial correlations greater than 90%. Models converged in the parameter selection peculiarly, in that the same nine of 20 were chosen by different logistic regression models. Among these nine parameters, lithology, geological structure (distance/density), landcover-landuse, and slope angle were common parameters selected by both the regression models and literature. Accuracy assessment of the logistic models was assessed by absolute methods. All models were field checked with the landslides resulting from the 12 November 1999, Kayna?li Earthquake (Ms = 7.2).     

Performance optimization of grid aggregation in spatial data warehouses

The problem of storage and querying of large volumes of spatial grids is an issue to solve. In this paper, we propose a method to optimize queries to aggregate raster grids stored in databases. In our approach, we propose to estimate the exact result rather than calculate the exact result. This approach reduces query execution time. One advantage of our method is that it does not require implementing or modifying functionalities of database management systems. Our approach is based on a new data structure and a specific model of SQL queries. Our work is applied here to relational data warehouses.