A Method of Vector Map Multi-scale Representation Considering User Interest on Subdivision Gird

doi:10.11947/j.AGCS.2016.F016

Abstract

Abstract: Compared with the traditional spatial data model and method, global subdivision grid show a great advantage in the organization and expression of massive spatial data. In view of this, a method of vector map multi-scale representation considering user interest on subdivision gird is proposed. First, the spatial interest field is built using a large number POI data to describe the spatial distribution of the user interest in geographic information. Second, spatial factor is classified and graded, and its representation scale range can be determined. Finally, different levels of subdivision surfaces are divided based on GeoSOT subdivision theory, and the corresponding relation of subdivision level and scale is established. According to the user interest of subdivision surfaces, the spatial feature can be expressed in different degree of detail. It can realize multi-scale representation of spatial data based on user interest. The experimental results show that this method can not only satisfy general-to-detail and important-to-secondary space cognitive demands of users, but also achieve better multi-scale representation effect.

Key words: spatial interest field, global subdivision gird, GeoSOT, multi-scale representation, user interest

CLC Number:

P208

YU Tong, DENG Shujun, QIAN Haizhong, YANG Qingli. A Method of Vector Map Multi-scale Representation Considering User Interest on Subdivision Gird[J]. Acta Geodaetica et Cartographica Sinica, 2016, 45(S1): 127-134.

References

[1] 诸云强, 孙九林, 廖顺宝,等. 地球系统科学数据共享研究与实践[J]. 地球信息科学学报, 2010, 12(1):1-8. ZHU Yunqiang, SUN Jiulin, LIAO Shunbao, et al.Earth System Scientific Data Sharing Research and Practice[J]. Journal of Geo-information Science, 2010, 12(1):1-8.
[2] GOODCHILD M F, FU P, PAUL R. Sharing Geographic Information:An Assessment of the Geospatial One-Stop[J]. Annals of the Association of American Geographers, 2007, 97(2):250-266.
[3] 关丽, 吕雪锋. 多级地理空间网格框架及其关键技术初探[J]. 地理与地理信息科学, 2011, 27(3):1-6. GUAN Li, LYU Xuefeng. Multi-scale Geospatial Grid Framework and Its Key Technologies[J]. Geography and Geo-Information Science, 2011, 27(3):1-6.
[4] SAHR K, WHITE D. Geodesic Discrete Global Grid Systems[J]. Cartography and Geographic Information Science, 2003, 30(2):121-134.
[5] GOODCHILD M. Discrete Global Grids for Digital Earth[C]//International Conference on Discrete Global Grids. Santa Barbara:[s. n.], 2000.
[6] 赵建军.地理位置的深度解析及其应用价值[J].山东师范大学学报(自然科学版),2010,25(4):87-91. ZHAO Jianjun. Deep Analysis of Geographical Position and Its Practical Value[J]. Journal of Shandong Normal University (Natural Science), 2010, 25(4):87-91.
[7] 朱欣焰,周成虎,呙维,等.全息位置地图概念内涵及其关键技术初探[J].武汉大学学报(信息科学版),2015, 40(3):285-295. ZHU Xinyan, ZHOU Chenghu, GUO Wei, et al. Preliminary Study on Conception and Key Technologies of the Location-based Pan-information Map[J]. Geomatics and Information Science of Wuhan University,2015, 40(3):285-295.
[8] 杨敏,艾廷华,卢威,等.自发地理信息兴趣点数据在线综合与多尺度可视化方法[J].测绘学报, 2015,44(2):228-234. YANG Min, AI Tinghua, LU Wei, CHENG Xiaoqiang, ZHOU Qi. A Real-time Generalization and Multi-scale Visualization Method for POI Data in Volunteered Geographic Information[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(2):228-234.
[9] 韩江洪, 王景华, 徐娟,等. 具有误差处理功能的动平衡标定方法研究[J]. 仪器仪表学报, 2013, 34(7):1454-1461. HAN Jianghong, WANG Jinghua, XU Juan, et al. Research on New Dynamic Balance Calibration Method with Measurement Error Processing Function[J]. Chinese Journal of Scientific Instrument, 2013, 34(7):1454-1461.
[10] 李德仁,肖志峰,朱欣焰.论空间信息多级网格的划分方法及编码研究[J].测绘学报. 2006, 35(1):52-56. LI Deren, XIAO Zhifeng, ZHU Xinyan. Research on Grid Division and Encoding of Spatial Information Multi-grids[J]. Acta Geodaetica et Cartographica Sinica, 2006, 35(1):52-56.
[11] 赵学胜.全球离散格网的空间数字建模[M].北京:测绘出版社.2007. ZHAO Xuesheng. Spatial Digital Modeling of Discrete Global Grid[M].Beijing:Mapping Publishing Company, 2007.
[12] 童晓冲. 空间信息剖分组织的全球离散格网理论与方法[D]. 郑州:信息工程大学,2010. TONG Xiaochong. The Principles and Methods of Discrete Global Grid Systems for Geospatial Information Subdivision Organization[D]. Zhengzhou:Information Engineering University, 2010.
[13] 宋树华, 程承旗, 濮国梁,等. 全球遥感数据剖分组织的GeoSOT网格应用[J]. 测绘学报, 2014(8):869-876. SONG Shuhua, CHENG Chengqi, PU Guoliang, et al. Global Remote Sensing Data Subdivision Organization Grid[J]. Acta Geodaetica et Cartographica Sinica, 2014(8):869-876.
[14] 程承旗,任伏虎,濮国梁,等.空间信息剖分组织导论[M].科学出版社,2012. CHENG Chengqi, REN Fuhu, PU Guoliang, et al. Introduction to Spatial Information Section[M].The Science Publishing Company, 2012
[15] JENKS, GEORGE F. The data model concept in statistical mapping[C]//International Yearbook of Cartography.[s.l.]:IEEE,1967:186-190.
[16] 张昊, 江南, 曹亚妮. 网络电子地图多尺度显示的分析与研究[J]. 测绘通报, 2014(1):90-93. ZHANG Hao, JIANG Nan, CAO Yani. The Analysis and Study of Multi-scale Display for Network Electronic Map[J]. Bulletin of Surveying and Mapping, 2014(1):90-93.