四叉树索引 meaning in Chinese
quadtree indexes
Examples
- In order to satisfy the demand of data i / o in real time when scene rendered , partition and process of the spatial data according to different detail criterion should be done , and with the help of a nested index structure , the scene pyramid + sub scene regular dividing quad - tree , spatial data of a 3d scene is organized into a multi - level of detail pagoda structure
本文提出通过对空间数据按照不同区域、不同细节层次进行分割加工，利用场景金字塔+子场景地物的规则划分四叉树索引结构，将三维场景的空间数据组织成多细节层次的塔型结构，以有效支持后续的数据调度策略以及绘制过程的优化，满足大规模场景实时绘制的需要。 - In the case of data index , the paper generalizes several advanced data index at the present time and analyzes the feature of data index based on database emphatically . then it illustrates the spatial ordering quad - tree index based on database of gde . in the case of geographic data management , the paper studies and tests several primary technologies , such as data concurrent access , data storage , data query , data update and maintenance , data transmission and data buffer , and so on
数据模型方面，在对常见的数据模型进行描述和分析的基础上，提出了满足海量数据高效存储和管理的gde数据模型，通过实验对数据的存放方式和效率进行了测试；数据索引方面，归纳总结了当前提出的较为先进的几种数据索引方法，尤其是着重分析了基于数据库的数据索引的特点，并对gde基于数据库的可排序四叉树索引进行了重点阐述；地理数据管理方面，对数据并发访问、数据查询、数据更新与维护、数据传输以及数据缓存等关键技术进行了阐述和实践；地理数据访问对象方面，介绍了采用面向对象技术设计实现的地理数据访问类。