地理计算——数量地理学的新发展

doi:10.11867/j.issn.1001-8166.2000.06.0679

地球科学进展 ›› 2000, Vol. 15 ›› Issue (6): 679 -683. doi: 10.11867/j.issn.1001-8166.2000.06.0679

地理计算——数量地理学的新发展

刘妙龙,李乔,罗敏

同济大学测量与国土信息工程系,上海 200092

收稿日期:1999-12-17 修回日期:2000-05-08 出版日期:2000-12-01
通讯作者: 刘妙龙(1944-),男,上海人,教授,主要从事理论与数量地理学、城市地理学和GIS领域的研究工作。
基金资助:
国家自然科学基金资助项目“大城市形态生成扩展理论与模型的实证研究”(编号:49971031)资助。

GEOCOMPUTATION—A NEW DEVELOPMENT IN THEORETICAL AND QUANTITATIVE GEOGRAPHY

LIU Miao-long, LI Qiao, LUO Min

Department of Surveying and Geomatics,Tongji University,Shanghai200092,China

Received:1999-12-17 Revised:2000-05-08 Online:2000-12-01 Published:2000-12-01

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研究方法论的变革是推动地理科学发展的动力。90年代以来,作为地理科学方法论之一的数量地理学迅速向全新的地理计算学发展。凭借高性能计算软、硬件设备的支撑,一些以“整体性”、“大容量”资料所表征的地理学时、空演变问题的模拟、预测,逐渐得以实现。以国内外文献资料为基础,追溯了国外地理计算学的发展,讨论了地理计算的内涵和构成,分析了作为地理计算基础的高性能计算的基本特征,介绍了在几个地理学固有命题(空间互作用、人口、城市演变动力学)研究中凭借高性能计算所进行的成功探索,旨在为启动我国的地理计算学研究,提供一些有益的借鉴。

关键词: 地理计算学, 高性能计算, 地理学模型与模拟

The progress and change in research methodology are the driving force of putting geographical science forward. Since the 1990s, as a branch of geographical methodologies, the theoretical and quantitative geography has been progressed in a whole-newly branch-Geocomputation. By using a lot of hardware and software necessary for high-performance computing, it is possible to model and predict the evolution of some spatial-temperal problems in geography. Taking a lot of foreign and native literatures as a base, this paper traces the progress and development of geocomputation in geographical circle in the world, discusses the composition and connotation of geocomputation, analyses the basic characters of high-performance computing, and introduces some successfully exploration and application of high-performance computing in a few inherent propositions in geographical researches including spatial interaction, population and urban evolutionary dynamics. The aim of the paper is to offer some profitable references for starting geocomputational researches in China.

Key words: High-performance computing, Model and modeling in geography., Geocomputation

中图分类号:

[1] Rees P, Turton I. Guest editorial: geocomputation: solving geographical problems with new computing power [J].Environment and Planning, 1998,30: 1 835～1 838.
[2] Dobson J E. Automated geography[J]. The Professional Geographer, 1983 , 35: 135～143.
[3] Turton I, Openshaw S . High-performance computing and geography: development, issues and case studies [J] .Environment and Planning, 1998, 30: 1 839～1 856.
[4] Fotheringham A S. Trends in quantitative method II:stressing the computational [J]. Progress in Human Geography, 1998, 22: 283～292.
[5] Openshaw S. Computational human geography[J]. Leeds Review, 1994,37:201～220.
[6] Unwin D. Editorial: computers, geoscience and geocomputation[J]. Computers and Geosciences, 1998,24: 297～298.
[7] Couclelis H. Geocomputation and space[J]. Environment and Planning (B) Anniversary Issue, 1998,23:41～47.
[8] Openshaw S. Towards a more computationally minded scientific human geography[J]. Environment and Planning (A), 1998, 30: 317～332.
[9] 陈国良编著.并行计算——结构,算法,编程[M].北京:高等教育出版社,1999.10.
[10] Openshaw S. Neural network, genetic and fuzzy logic models of spatial interaction[J]. Environment and Planning(A),1998, 30: 1 857～1 872.
[11] Fischer M. Computational neural networks: A new paradigm for spatial analysis [J]. Environment and Planning (A),1998, 30: 1 873～1 891.
[12] Fotheringham A, Charlton M. Geographically weighted regression: A natural evolution of the expansion method for spatial data analysis[J]. Environment and Planning(A),1998, 30: 1 905～1 927.
[13] Wilson A G. Urban and Regional Models in Geography and Planning[M]. London: John Wiley and Sons, 1974.
[14] Wilson A G, Birkin M. The Development and Application of Urban Models [Z]. Working Paper 442, School of Geography, Leeds University.
[15] Rees P. Projecting the national and regional population of the European Union using migration information[A]. In: Rees P, Stillwell J, John Wiley,et aleds. Population Migration in the European Union[C]. 1996. 331～364.
[16] Batty M. Generating Urban Forms from Diffusive Growth[J]. Environment and Planning(A), 1991, 23: 511～544.
[17] Batty M. Visualizing urban dynamics[A]. In: Longley P,Batty M, eds. Spatial Analysis: GIS in A Modeling Environment [C]. Geoinformation International,Combridge,1996. 287～320.
[18] Batty M, Howes D. Exploring urban development dynamics through visualization and animation[A]. In: Parker D ed.Innovation in GIS 3[C]. London: Taylor and Francis, 1996.143～155.
[19] Batty M, Longley P. Fractal Cities: A Geometry of Form and Function[M]. London: Academic Press, 1994.
[20] Batty M, Xie Y. Preliminary evidences for a theory of the fractal city[J]. Environment and Planning(A), 1996, 28:1 745～1 762.
[21] Batty M. Urban evolution on the desktop: simulation with the use of extended cellular automata[J]. Environment and Planning(A), 1998, 30: 1 943～1 967.
[22] Batty M, Couclelis H, Eichen M. Editorial: urban system as cellular automata[J]. Environment and Planning(B), 1997,24: 159～164.
[23] Batty M, Xie Y. Possible urban automata[J]. Environment and Planning(B), 1997, 24: 175～192.
[24] Phipps M, Longley A. Spatial dynamics, cellular automata,and parallel computers[J]. Environment and Planning(B),1997, 24: 193～204.
[25] 黎夏,叶嘉安.约束性单元自动演化CA模型及可持续城市发展形态的模拟[J].地理学报,1999,54:289～298.

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