【摘要】 面向对象的时空模型打破了关系模型范式的限制,直接支持对象的嵌套和变长记录。把面向对象的优点引入对象关系型数据库将更好地支持复杂数据的查询、更新、存储。这一特性很好地适应了遥感石漠化信息的多源性、海量数据以及变化相对稳定等特点。石漠化土地退化时空数据库系统就是对象关系时空模型在建立复杂地物数据库系统的一次具体应用尝试。该系统参照SQL Server 2000体系结构,在Microsoft VB 6.0环境下,以ArcSDE数据引擎为接口,采用SDE Administrator Command方法进行了数据的无缝集成入库。然后利用ArcGIS Engine 9.2组件对象模型库进行客户端GIS应用的系统开发。最终实现了:(1)石漠化土地退化图形查询、空间分析和显示;(2)石漠化土地退化的信息查询、统计分析、制表;(3)石漠化数据库实时更新;(4)石漠化的趋势预测。更多还原

【Abstract】 It is the object-oriented spatial-temporal model that breaks the limitations of relational models.The model directly supports object-oriented nesting and variable-length records.Therefore,with the incorporation of object-oriented database into object-relational database,the latter performs better in retrieving,updating and storing of the complex geographical data.In fact,the advanced characteristics of the object-oriented spatial-temporal model can be readily adapted for building geo-databases with a vast amount of information from various sources.For example,a rocky desertification database often includes multiple sources and massive data with relative little variability.The spatial-temporal database system for rocky desertification is developed as an object-relational database system.Referring to the system structure of SQL Server 2000,adopting the SDE administrator command method with ArcSDE data engine interface,and using component object model library of ArcGIS Engine 9.2,seamless integration of the spatial data warehousing and complete client-side GIS development and applications were realized in Microsoft VB 6.0 circumstance.As a result,a spatial-temporal database aiming at rocky desertification and remote sensing is built up with C/S operated mode.In conclusion,the database system achieves four major functions,including(1) map searching,spatial analysis and result displaying of rocky desertification land degradation;(2) information searching in regard to rocky desertification along with statistical analysis and data tabulation by using attribute database;(3) real-time database updating with remote sensing database;(4) forecasting rocky desertification and land degradation using algorithmic models.更多还原