地理学视角下测绘地理信息再透视

doi:10.11947/j.AGCS.2017.20170338

测绘学报 ›› 2017, Vol. 46 ›› Issue (10): 1549-1556.doi: 10.11947/j.AGCS.2017.20170338

地理学视角下测绘地理信息再透视

闾国年^1,2,3, 袁林旺^1,2,3, 俞肇元^1,2,3

1. 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;
2. 江苏省地理环境演化国家重点实验室培育建设点, 江苏南京 210023;
3. 江苏省地理信息资源开发与利用协同创新中心, 江苏南京 210023

收稿日期:2017-06-23 修回日期:2017-07-27 出版日期:2017-10-20 发布日期:2017-10-26
作者简介:闾国年(1961-),男,教授,博士生导师,研究方向为地理信息系统理论与应用。E-mail:gnlu@njnu.edu.cn
基金资助:
国家自然科学基金（41231173；41625004）

Surveying and Mapping Geographical Information from the Perspective of Geography

LÜ Guonian^1,2,3, YUAN Linwang^1,2,3, YU Zhaoyuan^1,2,3

1. Key Laboratory of Virtual Geographic Environment, Ministry of Education, Nanjing Normal University, Nanjing 210023, China;
2. Jiangsu Provincial Key Laboratory of Geographical Environment Evolution, Nanjing 210023, China;
3. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China

Received:2017-06-23 Revised:2017-07-27 Online:2017-10-20 Published:2017-10-26
Supported by:
The Nation Natural Science Foundation of China(Nos. 41231173;41625004)

摘要/Abstract

摘要： 系统回顾了地理信息系统产生以来地理信息内涵发展与拓展的主要历程，指出地理信息的定义一直是在“空间+属性”的地图信息基本框架下逐步扩展，其发展历程经历了地图GIS、语义GIS、时空GIS和大数据GIS 4个不同的阶段，但仍无法满足时空大数据的分析和应用需求。从地理学研究的对象和内容出发，对地理学所需要的“地理信息”的内涵和外延进行了系统的梳理总结，提出了涵盖“空间定位”“语义描述”“属性特征”“几何形态”“演化过程”“要素相互关系”的地理信息六要素表达模型。在地理定律和地理规律的指导下，面向地理现象空间分布、时空格局、演化过程、相互作用机理的集成表达、系统分析和高效管理，设计了六要素集成表达的几何代数统一GIS数据模型、地理规律与相互作用驱动的新型GIS数据结构、非结构化时空数据组织与存储等关键技术，为测绘地理信息走向地理科学信息提供了另一个理论基础与技术方法支撑，有助于提升GIS对地理格局、演化过程和要素相互作用等地理规律的组织、管理、表达和分析能力。

关键词: 地理信息, 六要素表达模型, 数据模型, 数据结构, 数据库

Abstract: It briefly reviewed the history of geographic information content development since the existence of geographic information system. It pointed out that the current definition of geographic information is always the extension from the "spatial+ attributes" basic mapping framework of geographic information. It is increasingly difficult to adapt to the analysis and application of spatial-temporal big data. From the perspective of geography research subject and content, it summarized systematically that the content and extension of the "geographic information" that geography needs. It put forward that a six-element expression model of geographic information, including spatial location, semantic description, attribute characteristics, geometric form, evolution process, and objects relationship.Under the guidance of the laws of geography, for geographical phenomenon of spatial distribution, temporal pattern and evolution process, the interaction mechanism of the integrated expression, system analysis and efficient management, it designed that a unified GIS data model which is expressed by six basic elements, a new GIS data structure driven by geographical rules and interaction, and key technologies of unstructured spatio-temporal data organization and storage. It provided that a theoretical basis and technical support for the shift from the surveying and mapping geographic information to the scientific geographic information, and it can help improving the organization, management, analysis and expression ability of the GIS of the geographical laws such as geographical pattern, evolution process, and interaction between elements.

Key words: geographic information, six-element expression model, data model, data structure, database

中图分类号:

P208

闾国年, 袁林旺, 俞肇元. 地理学视角下测绘地理信息再透视[J]. 测绘学报, 2017, 46(10): 1549-1556.

LÜ Guonian, YUAN Linwang, YU Zhaoyuan. Surveying and Mapping Geographical Information from the Perspective of Geography[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10): 1549-1556.

参考文献

[1] BERRY J K. Map Analysis-Understanding Spatial Patterns and Relationships[M]. Denver:Press of University of Denver, 2007.
[2] GOODCHILD M F. Geographical Information Science[J]. International Journal of Geographical Information Systems, 1992, 6(1):31-45.
[3] LONGLEY P A, GOODCHILD M F, MAGUIRE D J, et al. Geographical Information Systems and Science[M]. 2nd ed. Chichester:John Wiley & Sons Inc, 2005.
[4] GOODCHILD M F, YUAN M, COVA T J. Towards a General Theory of Geographic Representation in GIS[J]. International Journal of Geographical Information Science, 2007, 21(3):239-260. DOI:10.1080/13658810600965271.
[5] FREDERICO T, EGENHOFER M. Ontology-driven Geographic Information Systems[C]//MEDEIROS C B. Proceedings of the 7th ACM International Symposium on Advances in Geographic Information Systems. Kansas City, MO:ACM, 1999:14-19.
[6] 李德仁, 崔巍. 地理本体与空间信息多级网格[J]. 测绘学报, 2006, 35(2):143-148. LI Deren, CUI Wei. Geographic Ontology and SIMG[J]. Acta Geodaetica et Cartographica Sinica, 2006, 35(2):143-148.
[7] WORBOYS M F. Object-oriented Approaches to Geo-referenced Information[J]. International Journal of Geographical Information Systems, 1994, 8(4):385-399.
[8] PEUQUET D J, DUAN Niu. An Event-based Spatiotemporal Data Model (ESTDM) for Temporal Analysis of Geographical Data[J]. International Journal of Geographical Information Systems, 1995, 9(1):7-24.
[9] EGENHOFER M J, AL-TAHA K K. Reasoning About Gradual Changes of Topological Relationships[M]//FRANK A U, CAMPARI I, FORMENTINI U. Theories and Methods of Spatio-temporal Reasoning in Geographic Space. Berlin:Springer, 1992:196-219.
[10] 龚健雅, 李小龙, 吴华意. 实时GIS时空数据模型[J]. 测绘学报, 2014, 43(3):226-232, 275. DOI:10.13485/j.cnki.11-2089.2014.0033. GONG Jianya, LI Xiaolong, WU Huayi. Spatiotemporal Data Model for Real-time GIS[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(3):226-232, 275. DOI:10.13485/j.cnki.11-2089.2014.0033.
[11] LANGRAN G. Time in Geographic Information Systems[M]. London:Taylor & Francis, 1992.
[12] 陈军, 陈尚超, 唐治锋. 用非第一范式关系表达GIS时态属性数据[J]. 武汉测绘科技大学学报, 1995, 20(1):12-17. CHEN Jun, CHEN Shangchao, TANG Zhifeng. Representing Temporal Attributes in GISs Using Non-1NF Approach[J]. Journal of Wuhan Technical University of Surveying and Mapping, 1995, 20(1):12-17.
[13] FREKSA C, HABEL C, WENDER K F. Spatial Cognition:An Interdisciplinary Approach to Representing and Processing Spatial Knowledge[M]. Berlin:Springer-Verlag, 1998.
[14] MARK D M, EGENHOFER M, HORNSBY K. Formal Models of Commonsense Geographic Worlds:Report on the Specialist Meeting of Research Initiative 21[EB/OL]. Santa Barbara, CA:National Center for Geographic Information and Analysis.[1997-02-15] [2017-08-16]. http://www.geog.buffalo.edu/ncgia/i21/i21report.html.
[15] 孙敏, 陈秀万, 张飞舟. 地理信息本体论[J]. 地理与地理信息科学, 2004, 20(3):6-11, 39. SUN Min, CHEN Xiuwan, ZHANG Feizhou. Geo-ontology[J]. Geography and Geo-information Science, 2004, 20(3):6-11, 39.
[16] MANYIKA J, CHUI M, BROWN B, et al. Big Data:The Next Frontier for Innovation, Competition and Productivity[R]. New York:McKinsey & Company, 2011.
[17] 周成虎. 全空间地理信息系统展望[J]. 地理科学进展, 2015, 34(2):129-131. ZHOU Chenghu. Prospects on Pan-spatial Information System[J]. Progress in Geography, 2015, 34(2):129-131.
[18] DIJST M. Space-time Integration in a Dynamic Urbanizing World:Current Status and Future Prospects in Geography and GIS Science[J]. Annals of the Association of American Geographers, 2013, 103(5):1058-1061.
[19] YUAN Linwang, YU Zhaoyuan, CHEN Shaofei, et al. CAUSTA:Clifford Algebra-based Unified Spatio-temporal Analysis[J]. Transactions in GIS, 2010, 14(S1):59-83.
[20] YUAN Linwang, YU Zhaoyuan, LUO Wen, et al. A 3D GIS Spatial Data Model Based on Conformal Geometric Algebra[J]. Science China:Earth Sciences, 2011, 54(1):101-112.
[21] YUAN Linwang, LÜ Guonian, LUO Wen, et al. Geometric Algebra Method for Multidimensionally:Unified GIS Computation[J]. Chinese Science Bulletin, 2012, 57(7):802-811.
[22] YU Zhaoyuan, LUO Wen, YUAN Linwang, et al. Geometric Algebra Model for Geometry-oriented Topological Relation Computation[J]. Transactions in GIS, 2016, 20(2):259-279.
[23] 吴明光. 一种空间分布模式驱动的空间索引[J]. 测绘学报, 2015, 44(1):108-115. DOI:10.11947/j.AGCS.2015.20130245. WU Mingguang. A Spatial Distribution Pattern-driven Spatial Index[J]. Acta Geodaetica et Cartographica Sinica, 2015, 44(1):108-115. DOI:10.11947/j.AGCS.2015.20130245.
[24] 周良辰, 盛业华, 林冰仙, 等. 球面菱形离散格网正二十面体剖分法[J]. 测绘学报, 2014, 43(12):1293-1299. DOI:10.13485/j.cnki.11-2089.2014.0192. ZHOU Liangchen, SHENG Yehua, LIN Bingxian, et al. Diamond Discrete Grid Subdivision Method for Spherical Surface with Icosahedron[J]. Acta Geodaetica et Cartographica Sinica, 2014, 43(12):1293-1299. DOI:10.13485/j.cnki.11-2089.2014.0192.
[25] 吴明光. Hilbert填充曲线与空间分布模式探测的点数据集空间划分方法[J]. 中国图象图形学报, 2013, 18(10):1336-1342. WU Mingguang. Hilbert Space-filling Curve and Spatial Pattern Detection-based Spatial Partitioning Approach to Point Geospatial Data[J]. Journal of Image and Graphics, 2013, 18(10):1336-1342.
[26] LÜ Guonian, YU Zhaoyuan, ZHOU Liangchen, et al. Data Environment Construction for Virtual Geographic Environment[J]. Environmental Earth Sciences, 2015, 74(10):7003-7013.

地理学视角下测绘地理信息再透视

Surveying and Mapping Geographical Information from the Perspective of Geography

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