GeohashTile: Vector Geographic Data Display Method Based on Geohash

被引:17
作者
Zhou, Chang [1 ]
Lu, Huimei [1 ]
Xiang, Yong [2 ]
Wu, Jingbang [3 ]
Wang, Feng [4 ]
机构
[1] Beijing Inst Technol, Sch Comp Sci & Technol, Beijing 100081, Peoples R China
[2] Tsinghua Univ, Dept Comp Sci & Technol, Beijing 100084, Peoples R China
[3] Beijing Technol & Business Univ, Sch Comp & Informat Engn, Beijing 102488, Peoples R China
[4] Univ Mississippi, Dept Comp & Informat Sci, University, MS 38677 USA
关键词
GIS; Geohash; vector tile; Leaflet; MODEL;
D O I
10.3390/ijgi9070418
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In the development of geographic information-based applications for mobile devices, achieving better access speed and visual effects is the main research aim. In this paper, we propose a new geographic data display method based on Geohash, namely GeohashTile, to improve the performance of traditional geographic data display methods in data indexing, data compression, and the projection of different granularities. First, we use the Geohash encoding system to represent coordinates, as well as to partition and index large-scale geographic data. The data compression and tile encoding is accomplished by Geohash. Second, to realize a direct conversion between Geohash and screen-pixel coordinates, we adopt the relative position projection method. Finally, we improve the calculation and rendering efficiency by using the intermediate result caching method. To evaluate the GeohashTile method, we have implemented the client and the server of the GeohashTile system, which is also evaluated in a real-world environment. The results show that Geohash encoding can accurately represent latitude and longitude coordinates in vector maps, while the GeohashTile framework has obvious advantages when requesting data volume and average load time compared to the state-of-the-art GeoTile system.
引用
收藏
页数:25
相关论文
共 28 条
  • [11] The application of geography markup language (GML) to the geological sciences
    Lake, R
    [J]. COMPUTERS & GEOSCIENCES, 2005, 31 (09) : 1081 - 1094
  • [12] Bringing Geospatial Data Closer to Mobile Users: A Caching Approach Based on Vector Tiles for Wireless Multihop Scenarios
    Li, Chao
    Lu, Huimei
    Xiang, Yong
    Liu, Zhuoqun
    Yang, Wanli
    Liu, Ruilin
    [J]. MOBILE INFORMATION SYSTEMS, 2018, 2018
  • [13] Tiled vector data model for the geographical features of symbolized maps
    Li, Lin
    Hu, Wei
    Zhu, Haihong
    Li, You
    Zhang, Hang
    [J]. PLOS ONE, 2017, 12 (05):
  • [14] Performance improvement techniques for geospatial web services in a cyberinfrastructure environment - A case study with a disaster management portal
    Li, Wenwen
    Song, Miaomiao
    Zhou, Bin
    Cao, Kai
    Gao, Song
    [J]. COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2015, 54 : 314 - 325
  • [15] Liu JJ, 2014, INT CONF GEOINFORM
  • [16] [聂云峰 Nie Yunfeng], 2012, [中国图象图形学报, Journal of Image and Graphics], V17, P286
  • [17] Nolan D, 2014, USE R, P581, DOI 10.1007/978-1-4614-7900-0_17
  • [18] Sagan Hans, 1994, Space-Filling Curves
  • [19] Sapienza Ramos Jose Augusto, 2009, Journal of the Brazilian Computer Society, V15, P35, DOI 10.1007/BF03194500
  • [20] Steiniger S., 2017, DATA STRUCTURE SPATI