顾及要素空间分布特征的稠疏矢量瓦片构建方法研究

现行常用的金字塔模型构建矢量瓦片方法普遍未考虑空间对象的分布特征,导致同一层级矢量瓦片之间的数据量不均衡,引起瓦片数据加载渲染效率差异和并发一致性问题.为此提出一种顾及要素空间分布特征的稠疏矢量瓦片构建方法.该方法在保证矢量瓦片金字塔模型多分辨率特性的同时,对每一层级中要素数据量大的瓦片进行层次分解,形成了稠疏空间格网,从而实现同一层级矢量瓦片间的数据量相对均衡.实验表明,该方法实现了矢量瓦片访问时的负载均衡,提升了矢量瓦片的加载渲染效率,获得了更好的用户体验.

A method of the dense-sparse vector tile generation accounting for the spatial distribution of features

The current approaches of the vector tile pyramid generation usually overlook the spatial distribution of features, resulting in data imbalance of vector tiles at the same level, hence leading to problems on tile data loading and rendering concurrency. This paper proposes a new method for the dense-sparse vector tile generation considering the spatial distribution of features. The method hierarchically decomposes vector tiles with large amount of data to achieve the relative balance of the data quantity of vector tiles in the same level. Experimental results show the efficiency of loading and rendering of the proposed method.