地理学“空间分析导论”课程设置研究

doi:10.13249/j.cnki.sgs.2011.09.1090

摘要/Abstract

摘要： 空间分析是地理学和其他相关学科的重要研究手段与方法,其重要性日益引起关注。结合1960年代以来空间分析的发展脉络及各时期的典型方法,在对国内外40多所高校、组织与机构的空间分析课程大纲对比研究和教学实践的基础上,提出了“空间分析导论”课程的教学大纲、具体内容和实习软件等问题,最后对空间分析课程设置提出几点建议:① 拟定空间分析课程66学时左右,其中至少12学时左右的上机实习,实习软件可以针对不同的数据类型选用ArcGIS、GeoDa和R。② 在地理学相关专业或其他学科领域的本科高年级开设入门级的空间分析导论课程,之后,根据具体情况在研究生阶段开设比如"地统计学"、"空间模型与建模"等专题课程。③ 为进一步完善国内空间分析课程教材,可考虑选择引进国外相关著作,并筛选、开发相关的教学案例,编写详细的上机实习操作指导。

Abstract: In geography and related disciplines, spatial analysis is an important research tool or method, which has attracted increasing attention in geography and many other subjects, such as ecology, public health, environments, crimes, economics, etc. Based on the concepts, contents of spatial analysis, considering the different development stages and characteristics of spatial analysis since the 1960s, this article studies more than 40 colleges, organizations or universities' syllabus of spatial analysis at home and abroad. Together with the teaching practice of spatial analysis, the authors suggest the "Introduction to Spatial Analysis" course syllabus and the related specific contents, such as the detailed contents, the selection of practice software, class hours, etc. Accordingly, some advice on the teaching of spatial analysis in China are taken: 1) The specific syllabus should include: the introduction (including types and characteristics of spatial/attribute data, spatial autocorrelation, modifiable areal unit problem, edge effects, ecological fallacy), analysis based on maps (including overlay analysis, buffer analysis, Voronoi graph, thiessen polygon, network analysis, optimal path analysis, flow analysis and modeling, location-allocation analysis), geometry analysis (including centrography, distance/area measure, etc.), exploratory spatial data analysis (including visualization, scatter plot, stem-leaf plot, histogram, box plot), spatial point pattern analysis (including completely spatial randomness, quadrat analysis, kernel density estimation, nearest neighbor method, G function, F function, K/L function, Monte Carlo simulation, and some related test methods), area objects and spatial autocorrelation (including spatial weight matrix, global statistics, local statistics, joint count statistics, Moran's I, Geary's C and Getis'G/Gi*, local indicators of spatial association), spatial interpolation and geostatistics (including first law of geography, surface modeling, stochastic/determine modeling, inverse distance weighted interpolation, multinomial interpolation, spline interpolation, regionalized variable, semivariogram, ordinary Kriging, simple Kriging, and other Kriging methods), and new approaches, e.g. neural network (NN), evolutionary computation, cellular automata (CA), agent-based modeling (ABM), etc. in spatial analysis. 2) For the practice software, more than one type of software should be used in the class, in which ArcGIS, and free software GeoDa and R are recommend. Some other software about NN, CA, etc. may also be introduced, if time permitting. And 3) the class hours and practice hours are suggested that all the time should be at least 66 h, of which at least 12 h are practice hours with computer.

中图分类号:

K901

赵永, 孔云峰. 地理学“空间分析导论”课程设置研究[J]. 地理科学, 2011, 31(9): 1090-1096.

ZHAO Yong, KONG Yun-Feng. Geography Curriculum: Introduction to Spatial Analysis[J]. SCIENTIA GEOGRAPHICA SINICA, 2011, 31(9): 1090-1096.

参考文献

[1] 约翰斯顿 R J. 地理学与地理学家[M]. 唐晓峰,李平,叶冰等,译. 北京:商务印书馆, 1999.
[2] Cliff A D, Ord J K. The Problem of Spatial Autocorrelation[M]//Scott A J. Papers in Regional Science. London: Pion, 1969:25-55.
[3] Bivand R. Applying measures of spatial autocorrelation: Computation and simulation[J]. Geographical Analysis, 2009, 41(4): 375-384.
[4] Ripley B D. Modelling spatial patterns[J]. Journal of the Royal Statistical Society. Series B (Methodological), 1977, 39(2): 172-212.
[5] Matheron G. The Theory of Regionalized Variables and Its Applications [M]. Fontainbleau, France: Ecole de Mines, 1971.
[6] Openshaw S, Taylor P. A million or so correlation coefficients: Three experiments on the modifiable area unit problem[M]//Wrigley N. Statistical Applications in the Spatial Sciences. London: Pion, 1979: 127-144.
[7] Rogerson P A, Fotheringham A S. Research Initiative 14: GIS and Spatial Analysis—Closing Report.http://www.ncgia.ucsb.edu/Publications/Closing_Reports/CR-14.pdf,1995
[8] Cressie N A C. Statistics for Spatial Data[M]. New York: Wiley, 1991.
[9] Bailey T C, Gatrell A C. Interactive Spatial Data Analysis [M]. New York: Wiley, 1995.
[10] O'Sullivan D, Unwin D. Geographic Information Analysis[M]. Hoboken, New Jersey: Wiley, 2003.
[11] Waller L A, Gotway C A. Applied Spatial Statistics for Public Health Data [M]. Hoboken,New Jersey: Wiley, 2004.
[12] Wong D W S, Lee J. Statistical Analysis of Geographic Information with ArcView GIS and ArcGIS[M]. New York: Wiley, 2005.
[13] Rogerson P, Yamada I. Statistical Detection and Surveillance of Geographic Clusters[M].London: CRC Press, 2008.
[14] Burrough P A, McDonnell R A. Principles of Geographic Information Systems[M]. New York: Oxford University Press, 1998.
[15] Longley P A, Goodchild M F, Maguire D J, et al. Geographic Information Systems and Science[M]. (2nd ed.). Chichester,West Sussex: Wiley, 2005.
[16] Fotheringham A S, Brunsdon C, Charlton M. Geographically Weighted Regression: The Analysis of Spatially Varying Relationships [M]. Chichester,West Sussex: Wiley, 2002.
[17] Schabenberger O, Gotway C A. Statistical Methods for Spatial Data Analysis[M]. London: CRC Press, 2005.
[18] Diggle P J. Statistical Analysis Of Spatial Point Patterns[M]. London: Academic Press, 1983.
[19] Cliff A D, Ord J K. Spatial Processes: Models & Applications[M]. London: Poin Limited, 1981.
[20] Turner M G, Gardner R H, O'Neill R V. Landscape Ecology in Theory and Practice: Pattern and Process[M]. New York: Springer, 2001.
[21] Fotheringham A S, Brunsdon C, Charlton M. Quantitative Geography: Perspectives on Spatial Data Analysis[M]. London: Sage Publications Ltd, 2000.
[22] Burt J E, Barber G M. Elementary Statistics for Geographers[M]. (2nd ed.)New York:Guilford, 1996.
[23] Griffith D A, Layne L J. A Casebook for Spatial Statistical Data Analysis[M]. New York: Oxford University Press, 1999.
[24] Haining R R. Spatial Data Analysis: Theory and Practice[M]. Cambridge: Cambridge University Press 2003.
[25] 郭仁忠. 空间分析(第二版)[M]. 北京:高等教育出版社, 2004.
[26] 韦玉春, 陈锁忠. 地理建模原理与方法[M]. 北京:科学出版社, 2005.
[27] 王远飞,何洪林. 空间数据分析方法[M]. 北京:科学出版社, 2007.
[28] 刘湘南,黄方,王平. GIS空间分析原理与方法(第二版)[M]. 北京:科学出版社, 2008.
[29] 王劲峰,廖一兰,刘鑫. 空间数据分析教程[M]. 北京:科学出版社, 2010.
[30] Unwin D J. Introductory Spatial Analysis[M]. London: Methuen, 1981.
[31] Haining R. Designing spatial data analysis modules for geographical information systems[M]//Stewart Fotheringham, Peter Rogerson. Spatial analysis and GIS. London: Taylor & Francis, 1994.
[32] 刘耀林. 从空间分析到空间决策的思考[J]. 武汉大学学报(信息科学版), 2007,32(11): 1050~1055.
[33] 邬伦,刘瑜,张晶,等. 地理信息系统——原理、方法与应用[M]. 北京: 科学出版社, 2002.
[34] 孔云峰,秦耀辰,乔家君,等. 高校地理学科空间分析课程设置研究[J]. 测绘科学,2007,32(3): 186~189.
[35] Fortin M-J, Dale M R T. Spatial Analysis: A Guide for Ecologists [M]. New York: Cambridge University Press, 2005.
[36] Lloyd C D. Local Models for Spatial Analysis[M]. New York: CRC, 2007.
[37] O'Sullivan D, Unwin D J. Geographic Information Analysis[M]. (2nd ed.). Hoboken,New Jersey: Wiley, 2010.