地理计算及其前沿问题

doi:10.11820/dlkxjz.2007.04.001

Abstract

Abstract:

Geocomputation, as one of the cores of geographic information science (GIScience), focuses on methodological problems, including modeling, algorithms, computational systems, and the general methodology in the field of GIScience. With the rapid development of GIScience in China, five trends of geocomputation are concluded and presented respectively: (1) Geo- data mining refers to the means of discovering geographic knowledge concerning geographical problems in ways of model processing and computation of various kinds of data; (2) Spatial operational research is widely applied to the field of geography, with its algorithms simpler and more precise and its accuracy higher; (3) Multi- Agent System(MAS) has become the third important method of geography research ranking after induction and deduction; (4) Quantitative computation in discrete space turns into the necessary fundation of computation in geographic space; (5) Geographic ontology is essential to the progress of GIScience as well as the development of geography in general. Some new direction have appeared on geocomputation, they include: 1 computational pattern, as is, Cooperative Computing, Pool Computing; spatial computation complexity; and mappattern recognition.

Key words: discrete space, geo- data mining, geocomputation, multi- agent system, ontology, spatial operation

WANG Zheng,SUI Wenjuan,YAO Zixuan,LIAO Beiyu,WU Yiping. Geocomputation and Frontier Resear ch[J].PROGRESS IN GEOGRAPHY, 2007, 26(4): 1-10.

References

[1] Mark Gahegan, Masahiro Takatsuka, Mike Wheeler and Frank Hardisty, Introducing GeoVISTA Studio: an integrated suite of visualization and computational methods for exploration and knowledge construction in geography . Computers, Environment and Urban Systems, 2002, 26: 267~292.

[2] Couclelis, H., Computation and space. 25th Anniversary Issue. Environment & Planning B, 1998: 41~47.

[3] 陈安, 陈宁, 周龙骧等. 数据挖掘技术及应用. 北京: 科学出版社, 2006.

[4] Ming- Syan Chen, Jiawei Han, Philip S. Yu. Data Mining: An Overview from a Database Perspective. IEEE Transaction on Knowledge and Data Engineering, 1996, 8 (6): 866~833.

[5] 周成虎, 张健挺. 基于信息熵的地学空间数据挖掘模型. 中国图象图形学报, 1999, 11(4): 946~951.

[6] 王雷, 冯学智, 都金康. 遥感影像分类与地学知识发现的集成研究. 地理研究, 2001, 20 (5): 637~643.

[7] 王铮, 吴健平, 邓悦等. 城市土地利用演变信息的数据挖掘———以上海市为例. 地理研究, 2002, 21( 6) : 675~681.

[8] 张健挺, 邱友良. 人工智能和专家系统在地学中的应用综述. 地球科学进展, 1998, 17(1): 44~51.

[9] 张彤, 潘和平. 决策数的形式算法及其在地理信息学中的应用. 测绘通报, 2002, 7: 51~53.

[10] 《中国图象图形学报》编辑部. 丰富现在, 发展未来. 中国图象图形学报, 1999, 11(4): 916~917.

[11] Dobson J. A regional screening procedure for land use suitability analysis . the geographical review, 1979, 69: 224~234.

[12] Marks A P, Thrall G I, Arno M. Siting hospital to provide cost- effective health care . GeoInfo Systems, 1992, 2: 58~66.

[13] Drezner, Z. Facility Location A Survey of Applications and Methods. Springer, Berlin Heidelberg, New York, 1995.

[14] Okable, A., Okunuki, K. A computational method for estimating the demand of retail stores on a street network and its implementation in GIS . Transactions in GIS, 2001, 5(3): 209~220.

[15] Ribeiro, A., Antunes, P.A. A GIS- based decision- support tool for public facility planning . Environment and Planning B: Planning and design, 2002, 29: 553~569.

[16] 杨玉环. 用GIS 进行邻近性分析的方法及应用. 解放军测绘学院学报, 1997, 14(4): 287~291.

[17] 崔丽丽, 黄涛, 王铮. 数字城市中的决策支持模型的研究――以多元韦伯区位模型为例. 遥感技术与应用, 2001, 16 (4): 228~23.

[18] 周天颖, 简甫任. 紧急避难场所区位决策支持系统建立之研究. 水土保持研究, 2001, 8: 17~24.

[19] 邓悦, 王铮. 旅游集散地规划的地计算模型和案例. 地理学报, 2003, 58( 5) : 781~788.

[20] 王铮, 李山, 刘扬. 城市与区域管理分析的地计算研究———城市旅游业可持续发展. 北京: 科学出版社, 2004.

[21] 赵秀丽, 黄承锋, 肖盛燮. 基于成本分析的区域配送中心优化选址模型. 重庆交通学院学报, 2006, 1: 114~116.

[22] 韩伟一, 王铮. Dijkstra 算法的一个改进. 运筹与管理, 2004, 13( 6) : 6~10, 85.

[23] 龚雄兴. 堆与贪心算法. 现代计算机, 2006, (8): 111~112.

[24] 王凌, 段江涛, 王保保. GIS 中最短路径的算法研究与仿真. 计算机仿真, 2006, (1): 117~120.

[25] Rosing K E, Hodgson M J. Heuristic concentration for the p- median: an example demonstrating how and why it works . Computer & Operations Research, 2002, 29: 1317~1330.

[26] Benenson I. Modeling Population Dynamics in the City: from a Regional to a Multi- Agent Approach . "Discrete Dynamics in Nature and Society", 1999, 3, 149~170.

[27] Dijkstra J, Timmermans H J P, Jessurun A J. A multi2agent cellular automata system for visualizing simulated pedestrian activity . Theoretical and Practical Issues on Cellular Automata, 2000, 10 (4 ~ 6): 29 ~ 36.

[28] Bousquet F, Le Page C. Multi2agent simulations and ecosystem management: a review . Ecological Modeling, 2004, 176(3 ~ 4): 313 ~ 332.

[29] Portugali J and Benenson I. Individuals'cultural code and residential self- organization in the city space. New Zealand: The second annual conference of GeoComputation, 1997.

[30] Benenson I. Multi - agent simulations of residential dynamics in the city. Computers, Environment and Urban Systems, 1998, 22(1): 25~42.

[31] Jiang B. Agent- based approach to modeling environmental and urban systems within GIS. Beijing: The 9th International Symposium on Spatial Data Handling, 2000.

[32] Waddel P. UrbanSim: Modeling Urban Development for Land- use, Transportation and Environmental Planning . Journal of the American Planning Association, 2002, 68 (3): 297~314.

[33] Barros, J. Simulating Urban Dynamics in Latin American Cities, University of Southampton, UK. Proceedings of the 7th. International. Conference on GeoComputation, 2003.

[34] Loibl W, Toetzer T. Modeling growth and densification processes in suburban regions- simulation of landscape transition with spatial agents.Environmental Modeling and Software,2003,18 (6):553~563.

[35] Bonnefov J L. From household to urban structures: space representation as engine of dynamics in multi- agent simulations. CyberGeo, 2003: 234.

[36] Sembolini F, Assfalg J, Armeni S, Gianassi R, Marsoni F. CityDev, an interactive multi- agents urban model on the web. Computers, Environment and Urban Systems, 2004, 28: 45~64.

[37] Zhang, 2002.

[38] Marz, 2006.

[39] Torrens PM. Can GeoComputation save urban simulation? Throw some agents into the mixture, simmer and wait
[DB /OL ]. http://www.casa.ucl.ac.uk / paper 32. pdf, 2005, 8.

[40] Roy AJ, Stell JG. Spatial relations between indeterminate regions . International Journal of Approximate Reasoning, 2001, 27(3): 205~234.

[41] Winter S. Topological relations between discrete regions. In Egenhofer, M J, Herring J R, eds.: Advances in Spatial Databases. Volume 951 of Lecture Notes in Computer Science. Springer, Berlin, 1995, 310~327.

[42] Cohn AG, Gotts NM. The ‘Egg- Yolk'representation of regions with indeterminate boundaries. In: Burrough PA, Frank AU, eds. Geographic Objects with Indeterminate Boundaries. London: Taylor & Francis, 1996, 171~187.

[43] Roy, Stell, 2003.

[44] 虞强源, 刘大有, 刘亚彬. 一种不确定区域的扩展蛋黄模型. 电子学报, 2004, 32(4): 610~615.

[45] 王生生, 刘大有. 定性空间推理中区域连接演算的多维扩展. 计算机研究与发展, 2004, 41( 11) : 1954~1958.

[46] 何建华,刘耀林,唐新明. 离散空间的拓扑关系模型. 测绘学学报, 2005, 34( 4) : 343~348.

[47] Yagel, Cohen, and Kaufman, 1992.

[48] 陈建军, 周成虎, 王敬贵. 地理本体的研究进展与分析. 地学前缘(中国地质大学(北京)；北京大学), 2006, 13( 3) : 81~ 90.

[49] Studer R, Benjamins R, Fensel D. Knowledge engineering: principles and methods . IEEE transactions on data and knowledge engineering, 1998, 25 (1/ 2): 161~197.

[50] 王铮, 丁金宏. 理论地理学概论. 北京: 科学出版社, 2000.

[51] 吴运超, 杜清运. DAML+OIL 构建本体在GIS 中的应用. 地理空间信息, 2004, 2( 2) : 17~19.

[52] Smith B, Mark D M. Geographical categories: an ontological investigation . International Journal of Geographical Information Science, 2001, 15 (7): 591~612.

[53] Smith B, Mark D M. Ontology and geographic kinds
[ C]/ / Poiker T K, Chrismann. Proceedings of 8th international symposium on spatial data handling(SDHp98), Vancouver, Canada, 1998. International Geographical Union, 1998, 308~320.

[54] Bittner T, Smith B. A taxonomy of granular partitions. Daniel M. Spatial Information Theory, Proceedings of COSIT 2001. Berlin/ New York: Springer, 2001.

[55] Bittner T, Stell J G. Vagueness and rough location . Geoinformatica, 2002.

[56] Frank A U. A linguistically justified proposal for a spatiotemporal ontology/ / Proceedings of COSITp03 workshop on fundamental issues in spatial and geographic ontologies, U K, 2003.

[57] Fonseca F, Ecenhofer M, AScouris P, et al. Using ontologies for intergrated geographic information systems . Transactions in GIS, 2002, (6): 3.

[58] Kavouras M, Kokla M. A method for the formalization and integration of geographical categorizations . International Journal of Geographical Information Science, 2002, 16 (5): 439~453.

[59] Kokla M, Kavouras M. Fusion of top2level and geographical domain ontologies based on context formation and complementarity . International Journal of Geographical Information Science, 2001, 15 (7): 679~687.

[60] 蔡砥, 滕丽, 王铮. 一种禁忌搜索算法在计算网格中的并行化策略. 微电子学与计算机, 2004, 21( 6) : 115~122.

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