地理多要素Voronoi图相邻关系下的地图放大裁剪方法

发布时间：2018-04-10 22:39

本文选题：电子地图 + Voronoi　；参考：《测绘通报》2017年10期

【摘要】：针对以欧氏距离作为放大因子对电子地图进行放大裁剪引起的信息失衡问题,提出了采用地理多要素Voronoi图相邻关系的地图放大裁剪方法,可有效避免以欧氏距离作为地图放大因子的地图信息失衡问题。将电子地图中的地理要素分为点、线、面,对于点要素,构建它的Voronoi图;对于非点要素,即线和面要素,构建它们的近似Voronoi图,当用户对电子地图中感兴趣地理要素目标放大时,只需要提取该目标的多要素Voronoi图相邻要素的近似Voronoi图,并计算它们的最小外包矩形,将最小外包矩形区域用于最终的地图放大裁剪区域,则可较好地顾及用户感兴趣地理要素目标周围的地理要素信息,可提高地图的易读性。采用本文方法对某区域电子地图进行了试验,结果表明,地理多要素Voronoi图相邻关系的地图放大裁剪方法能够较好地顾及目标周边地理要素信息,避免了以欧氏距离为放大因子的地图信息失衡。
[Abstract]:Aiming at the problem of information imbalance caused by using Euclidean distance as the magnification factor to enlarge and cut the electronic map, a map amplification and clipping method based on the adjacent relation of geographical multi-element Voronoi map is proposed.It can effectively avoid the problem of map information imbalance with Euclidean distance as the map magnification factor.The geographical elements in the electronic map are divided into points, lines, surfaces, and Voronoi diagrams for the point elements, and the approximate Voronoi diagrams for the non-point elements, that is, lines and surfaces, are constructed.When the user is interested in the geographical element target in the electronic map, he only needs to extract the approximate Voronoi diagram of the adjacent elements of the multi-element Voronoi map of the target, and calculate their minimum outsourced rectangle.The minimum outsourced rectangular region is used in the final map clipping area, which can take into account the geographical element information around the target of interest to the user, and improve the readability of the map.In this paper, a regional electronic map is tested. The results show that the method of map enlargement and clipping based on the adjacent relationship of geographical multi-element Voronoi map can take into account the geographical element information around the target.The imbalance of map information with Euclidean distance as amplification factor is avoided.
【作者单位】：云南师范大学旅游与地理科学学院;云南省地理空间信息技术工程技术研究中心;安徽大学资源与环境工程学院;虚拟地理环境教育部重点实验室(南京师范大学);
【基金】：国家自然科学基金(41561082) 安徽省地理信息工程中心创新平台项目(Y01001529)
【分类号】：P283.7

【相似文献】