一种基于MPPQT的空间对象标识编码方法

摘要

Spatial object identification is the key of geospatial data storage and the base of geo-information inquiry. Referring to the shortcomings of traditional identification techniques and MPPQT subdivision s capabilities of multi-scale multi-resolution expression and application of geographic objects a new spatial object identification based on MPPQT subdivision was put forward. Spatial object identification coding comprised of subdivision cell s address identification Hilbert Base16 coding and sequence coding and the length of coding was no more than 36 bytes. The coding had the properties of multi-scale the location of spatial unique in the world and the aggrega-tion and the storage space was saved. At the last part an example of encoding objects in a vector data was pres-ented the results showed that the coding on global geospatial information could accelerate the speed of data query and research in the massive data storage.%空间对象标识是地理空间数据组织的关键，是空间数据存储和检索的基础。鉴于传统标识的局限性和Mercator投影金字塔四叉树MPPQT( Mercator Projection Pyramid QuadTree)层次剖分模型的全球连续性、多层次性以及剖分面片编码的全球唯一性，本文设计了一种基于MPPQT层次剖分标识的空间对象字符串编码方法。该编码由剖分面片编码、Hilbert的Base16编码和顺序码构成，编码长度最长36个字节，并具有一定的聚集特性。最后，以矢量数据组织为例进行了试验验证。结果表明，该模型能大大加快空间数据的查询与检索速度，为全球的空间对象分布式存储和并行处理提供支持。