地图学与地理信息

一种个人地理标记数据的可视化方法

  • 华一新 ,
  • 李响 ,
  • 王丽娜 ,
  • 张晶
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  • 信息工程大学 地理空间信息学院, 河南 郑州 450052
华一新(1963—),男,教授,研究方向为地理信息系统及其应用。E-mail:13607680789@163.com.

收稿日期: 2013-12-21

  修回日期: 2014-05-06

  网络出版日期: 2015-02-14

基金资助

国家自然科学基金(41401467;41271450;41371383);国家科技支撑计划(2012BAK12B02)

A Visualization Method for Personal Geotagged Data

  • HUA Yixin ,
  • LI Xiang ,
  • WANG Lina ,
  • ZHANG Jin
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  • Intitute of Geospatial Information, Information Engineering University, Zhengzhou 450052, China

Received date: 2013-12-21

  Revised date: 2014-05-06

  Online published: 2015-02-14

Supported by

The National Natural Science Foundation of China(Nos.41401467;41271450;41371383);The National Key Technology Research and Development Program of the Ministry of Science and Techndogy of China(No.2012BAK12B02)

摘要

个人地理标记数据是个人通过笔记本、平板电脑或者手机等设备发布的包含地理位置且与个人相关的文本、照片和视频等信息。本文针对个人地理标记数据的特点, 提出了一种适用于地理标签数据的可视化方法——个人地理标记数据拓扑图, 并设计和实现了核心算法。为了比较和评估该方法的效能, 对“文本列表”、“普通地图”和“标记拓扑图”3种用户界面进行可用性测试, 并对测试数据进行方差分析。测试结论表明, 3种不同用户界面在查找个人地理标记数据的效率方面存在显著性差异, 其中文本列表和标记拓扑图均优于普通地图, 文本列表和标记拓扑图在查找时间上的差异并不显著, 标记拓扑图在查找时间均值上略优于文本列表。

本文引用格式

华一新 , 李响 , 王丽娜 , 张晶 . 一种个人地理标记数据的可视化方法[J]. 测绘学报, 2015 , 44(2) : 220 -227 . DOI: 10.11947/j.AGCS.2015.20130808

Abstract

Geotagged personal datas, which are released by laptop, tablet PC or mobile device,contain personal data such as text, photos, video information and geographic position information. In this paper, we propose a new visualization method—the topological map of personal geotagged data (simply, the topological map) and provide the design and implementation of the core algorithm for the method. In order to evaluate the effectiveness of the method, we conduct a usability test for "a text list", "a thematic map" and "a topological map" and use analysis of variance(ANOVA) to deal with test data. The results show that the three kinds of user interfaces have statistically significant difference in terms of efficiency in finding personal geotagged data, and there are not significant difference between a text list and a topological map, while the latter is slightly faster than the former, however, both are significantly better than a thematic map.

参考文献

[1] GOODCHILD M F. Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0 [J]. International Journal of Spatial Data Infrastructures Research, 2007, 2:24-32.
[2] LI Deren, QIAN Xinlin. A Brief Information of Data Management for Volunteered Geographic Information[J].Geomatics and Information Science of Wuhan University,2010,35(4):379-383 (李德仁, 钱新林. 浅论自发地理信息的数据管理 [J]. 武汉大学学报:信息科学版, 2010,35(4): 379-383.)
[3] MONTELLO D R. Cognitive Map-Design Research in the Twentieth Century: Theoretical and Empirical Approaches [J]. Cartography and Geographic Information Science, 2002, 29(3): 283-304.
[4] TVERSKY B. Remembering Spaces [M]//The Oxford Handbook of Memory. New York:Oxford University Press, 2000: 363-378.
[5] GARLAND K, BECK H C. Mr Beck's Underground Map [M].St Leonards:Capital Transport, 1994.
[6] BARKOWSKY T, LATECKI L, RICHTER K F. Schematizing Maps: Simplification of Geographic Shape by Discrete Curve Evolution [M]//Spatial Cognition Ⅱ. Berlin:Springer Berlin Heidelberg, 2000: 41-53.
[7] CABELLO S, DE BERG M, VAN KREVELD M. Schematization of Networks [J]. Computational Geometry, 2005, 30(3): 223-238.
[8] LI Z, DONG W. A Stroke-based Method for Automated Generation of Schematic Network Maps [J]. International Journal of Geographical Information Science, 2010, 24(11): 1631-1647.
[9] MARK WARE J, TAYLOR G E, ANAND S, et al. Automated Production of Schematic Maps for Mobile Applications [J]. Transactions in GIS, 2006, 10(1): 25-42.
[10] MÜ LLER S A M, MFILLER M. Generating Topologically Correct Schematic Maps[C]//Proceedings of the In Proc 9th Int Symp on Spatial Data Handling.Zurih:[s.n.], 2000.
[11] JAFFE A, NAAMAN M, TASSA T, et al. Generating Summaries and Visualization for Large Collections of Geo-referenced Photographs [C]//Proceedings of the 8th ACM international workshop on Multimedia information retrieval. Santa Barbara:ACM, 2006: 89-98.
[12] SLINGSBY A, DYKES J, WOOD J, et al. Interactive Tag Maps and Tag Clouds for the Multiscale Exploration of Large Spatio-temporal Datasets[C]//Proceedings of the Information Visualization, 2007 IV'07 11th International Conference.Zurich:[s.n.], 2007.
[13] WOOD J, DYKES J, SLINGSBY A, et al. Interactive Visual Exploration of a Large Spatio-temporal Dataset: Reflections on a Geovisualization Mashup [J]. Visualization and Computer Graphics, IEEE Transactions on, 2007, 13(6): 1176-83.
[14] AI Tinghua, ZHOU Mengjie,CHEN Yajie. The LOD Representation and TreeMap Visualization of Attribute Information Thematic Mapping[J]. Acta Geodaetica et Cartographica Sinica, 2013,42(3):453-460.(艾廷华, 周梦杰, 陈亚婕.专题地图属性信息LOD 表达与TreeMap可视化[J].测绘学报, 2013,42(3):453-460.)
[15] SERDYUKOV P, MURDOCK V, VAN ZWOL R. Placing Flickr Photos on a Map[C]//Proceedings of the 32nd International ACM SIGIR Conference on Research and Development in Information Retrieval.[S.l.]:ACM,2009.
[16] TOYAMA K, LOGAN R, ROSEWAY A. Geographic Location Tags on Digital Images[C]//Proceedings of the Eleventh ACM international Conference on Multimedia.[S.l.]:ACM, 2003.
[17] CRANDALL D J, BACKSTROM L, HUTTENLOCHER D, et al. Mapping the World's Photos[C]//Proceedings of the 18th International Conference on World wide web.[S.l.]:ACM, 2009.
[18] MACEACHREN A, STRYKER M, TURTON I, et al. HEALTH GeoJunction: Place-time-concept Browsing of Health Publications [J]. International Journal of Health Geographics, 2010, 9(1): 23.
[19] DINHQUYEN N, SCHUMANN H. Taggram: Exploring Geo-data on Maps through a Tag Cloud-Based Visualization[C]//Proceedings of the Information Visualisation 14th International Conference.London:[s.n.], 2010.
[20] LEE B, RICHE N H, KARLSON A K, et al. SparkClouds: Visualizing Trends in Tag Clouds [J]. IEEE Transactions on Visualization and Computer Graphics, 2010, 16(6): 1182-1189.
[21] HU Qingwu,WANG Ming,LI Qingquan.Urban Hotspot and Commercia Area Exploration with Check-in Date[J].Acta Geodaetica et Cartographic Sinica,2014,43(3):314-321.(胡庆武, 王明, 李清泉.利用位置签到数据探索城市热点与商圈[J].测绘学报, 2014,43(3):314-321.)
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