测绘通报 ›› 2017, Vol. 0 ›› Issue (10): 84-88.doi: 10.13474/j.cnki.11-2246.2017.0321

• 学术研究 • 上一篇    下一篇

地理多要素Voronoi图相邻关系下的地图放大裁剪方法

李佳1,2, 段平1,2, 梁明3, 吕海洋4   

  1. 1. 云南师范大学旅游与地理科学学院, 云南 昆明 650500;
    2. 云南省地理空间信息技术工程技术 研究中心, 云南 昆明 650500;
    3. 安徽大学资源与环境工程学院, 安徽 合肥 230601;
    4. 虚拟地理环境教育部重点实验室(南京师范大学), 江苏 南京 210023
  • 收稿日期:2017-02-17 修回日期:2017-04-12 出版日期:2017-10-25 发布日期:2017-11-07
  • 通讯作者: 段平。E-mail:dpgiser@163.com E-mail:dpgiser@163.com
  • 作者简介:李佳(1984-),女,博士,讲师,主要从事近景摄影测量和地图制图的研究工作。E-mail:keguigiser@163.com
  • 基金资助:
    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)

Method of Map Zooming and Clipping Used by Neighborhood Relationship of Geographical Multi-factor Voronoi Diagram

LI Jia1,2, DUAN Ping1,2, LIANG Ming3, LÜ Haiyang4   

  1. 1. College of Tourism and Geographical Sciences, Yunnan Normal University, Kunming 650500, China;
    2. Geospatial Information Technology Engineering Research Center of Yunnan Province, Kunming 650500, China;
    3. School of Resources & Environment Engineering, Anhui University, Hefei 230601, China;
    4. Key Laboratory of Virtual Geographic Environment(Nanjing Normal University), Ministry of Education, Nanjing 210023, China
  • Received:2017-02-17 Revised:2017-04-12 Online:2017-10-25 Published:2017-11-07

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。

关键词: 电子地图, Voronoi, 相邻关系, 地图放大, 地图裁剪

Abstract: Aimed at the problem of information imbalance caused by the amplification of the electronic map with the Euclidean distance as the amplification factor, a method of map zooming and clipping based on multi-factor Voronoi diagram has been proposed in this paper. This method can effectively avoid the problem of the map information imbalance, which is based on the Euclidean distance as the map magnification factor. The geographical elements are abstracted as points, lines, polygons and divided into two categories:point elements and non-point elements. For point elements, construct the Voronoi diagram of point elements. For the non-point elements, namely, line and polygon elements, constructing their approximate Voronoi diagram. When the user amplify the geographical elements of the target which is interested in, only need to extract the multi-factor of the target Voronoi diagram adjacent elements. And then calculate their minimum bounding rectangle (MBR). The MBR area is used in the map clipping region, and it can keep the surrounding geographical information of the users who interest in the geographical elements of the target. The method is adopted of this paper to test some regional electronic map. The result shows that The natural neighbor method based on the multi-factor Voronoi diagram can better take into account the target and its surrounding information when amplify the map. This method can improve the legibility of the map, to avoid the Euclidean distance as the map zoom factor and multiple operations.

Key words: electronic map, Voronoi, neighborhood relationship, map zooming, map clipping

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