国外基于GIS土地适宜性评价研究进展及展望

doi:10.11820/dlkxjz.2009.06.010

地理科学进展 ›› 2009, Vol. 28 ›› Issue (6): 898-904.doi: 10.11820/dlkxjz.2009.06.010

国外基于GIS土地适宜性评价研究进展及展望

何英彬1,2,3|陈佑启1,3|杨 |鹏3|吴文斌1,3|姚艳敏1,3|李志斌

1．农业部资源遥感与数字农业重点开放实验室|北京 100081； |2．呼伦贝尔草原生态系统国家野外科学观测研究站|
北京 100081； |3．中国农业科学院农业资源与农业区划研究所|北京 100081

出版日期:2009-11-25 发布日期:2009-11-25
通讯作者: 杨鹏(1975-)，男，副研究员，主要从事农业遥感研究。
作者简介:何英彬(1977-)|男|吉林省吉林市人|博士|助研|研究方向：农业遥感与土地利用。E-mail: yingbin_he@yahoo.com.cn
基金资助:
中国农科院农业资源与农业区划研究所中央级公益性科研院所基本科研业务费专项资金资助(200990124)；农业部资源遥感与数字农业重点开放实验室基金资助(RDA0910)；国家科技支撑计划项目(2007BAC03A10)；国家重点基础研究发展规划项目(2007CB106806)；国家科技支撑计划项目(2006BAC08B0404)

An Overview and Perspective of Alien Land Suitability Evaluation Study Based on GIS Technology

HE Yingbin1,2,3, CHEN Youqi1,3, YANG Peng3, WU Wenbin1,3, YAO Yanmin1,3, LI Zhibin1,3

1.Key Laboratory of Resources Remote-Sensing &|Digital Agriculture of Ministry of Agriculture, Beijing 100081, China；
2. Hulunber Grassland Ecosystem Observation and Research Station, Beijing 100081, China|
3. Institute of Agricultural Resources &|Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China

Online:2009-11-25 Published:2009-11-25

摘要/Abstract

摘要：

土地适宜性评价是土地利用总体规划的一项基本工作和重要内容。随着全球人口的增长及环境问题的日益加剧，研究探讨土地适宜性是处理好人口与资源、走可持续发展之路的重要课题。通过对大量文献的检索，较为系统地总结了国外学者有关基于GIS的土地适宜性评价的观点，按照土地适宜性评价方法的发展历程，将其分为三个方面：计算机辅助叠加制图、基于GIS多指标决策方法和人工智能建模。对于目前常用的基于GIS多指标决策和人工智能建模两种方法进行了评析；并提出评价方法正向精确化、综合化和动态化的方向发展，建议注重土地适宜性评价方法的空间尺度转换，力争在未来实现网络化、可视化。

关键词: 土地适宜性；研究进展；国外；GIS；展望

Abstract:

Land suitability evaluation is the basis and core of overall land use planning. With global population increasing and environmental problems deteriorating, it is important and urgent to implement the research on land suitability for dealing with the relation between population and resources and with sustainable development. Based on indexing an amount of references, the authors systematically summarized viewpoints of alien researchers on land suitability with GIS and classified the related methodologies into three aspects: Computer-assisted overlay mapping, multi-criteria decision-making methods and artificial intelligence methods. In addition, authors analyzed the latter two methodologies, put forward the orientation of more accuracy, integration and dynamics in this regard, and suggested to realize methodologies transition at different spatial scales and network assessment and evaluation visualization in the future.

Key words: alien, GIS, land suitability, perspective, study progress

何英彬1,2,3|陈佑启1,3|杨鹏3|吴文斌1,3|姚艳敏1,3|李志斌. 国外基于GIS土地适宜性评价研究进展及展望[J]. 地理科学进展, 2009, 28(6): 898-904.

HE Yingbin1,2,3, CHEN Youqi1,3, YANG Peng3, WU Wenbin1,3, YAO Yanmin1,3, LI Zhib. An Overview and Perspective of Alien Land Suitability Evaluation Study Based on GIS Technology[J]. PROGRESS IN GEOGRAPHY, 2009, 28(6): 898-904.

参考文献

[1]   Hopkins L. Methods for generating land suitability maps: A comparative evaluation. Journal for American Institute of Planners, 1977, 34(1): 19-29.

[2]   Collins M G, Steiner F R, Rushman M J. Land-use suitability analysis in the United States: Historical development and promising technological achievements. Environmental Management, 2001, 28(5): 611-621.

[3]   Pereira J M C, Duckstein L. A multiple criteria decision-making approach to GIS-based land suitability evaluation. International Journal of Geographical Information Systems, 1993, 7(5): 407-424.

[4] Store R, Kangas J. Integrating spatial multi-criteria evaluation and expert knowledge for GIS-based habitat suitability modeling. Landscape and Urban Planning, 2001, 55(2): 79-93.

[5]   Cambell J C, Radke J, Gless J T, et al. An application of linear programming and geographic information systems: Cropland allocation in antigue. Environment and Planning, 1992(24): 535-549.

[6]   Kalogirou S. Expert systems and GIS: An application of land suitability evaluation computers. Environment and Urban Systems, 2002(26): 89-112.

[7]   Miller W, Collins W M G, Steiner F R, et al. An approach for greenway suitability analysis. Landscape and Urban Planning, 1998 (42): 2-4, 91-105.

[8]   Moreno D, Seigel M. A GIS approach for corridor sitting and environmental impact analysis. GIS/LIS’88. Proceedings from the third annual international conference, San Antonio, Texas 2, 1988, (2): 507-514.

[9]   Janssen R, Rietveld P. Multi-criteria analysis and geographical information systems: An application to agricultural land use in the Netherlands//Scholten H J, Stillwell J C H. Geographical Information System for Urban and Regional Planning, Kluwer Academic Publishers, Dordrecht, 1990, 129-139.

[10] MacDougall E B. The accuracy of map overlay. Landscape Planning. 1975, (2): 23-30.

[11] Steinitz C, Parker P, Jordan L. Hand drawn overlays: Their history and prospective uses. Landscape Architecture, 1976, (9): 444-455.

[12] Lyle J, Stutz F. Computerized land use suitability mapping. Cartographic Journal, 1983, (20): 39-49.

[13] Murray T, Roger P, Sinton D, et al. Honey Hill: A systems analysis for planning the multiple uses of controlled water areas. 2 vols. Report nos. AD 736 343 and AD 736 344. National Technical Information Service, Springfield, Virginia, 1971.

[14] Turner A K, Miles R D. The GCARS system: A computer-assisted method of regional route location. Highway Research Record, 1971, (348): 1-15.

[15] Carver S J. Integrating multi-criteria evaluation with geographical information systems. International Journal of Geographical Information System. 1991, 5(3): 321-339.

[16] Banai R. Fuzziness in geographical information systems: Contributions from the analytic hierarchy process. International Journal of Geographical Information Systems, 1993, (7): 315-329.

[17] Eastman J R. Idrisi for Windows, Version 2.0: Tutorial Exercises, Graduate School of Geography- Clark University, Worcester, MA, 1997.

[18] Malczewski J. GIS and Multi-criteria Decision Analysis, Wiley, New York, 1999.

[19] Thill J C. Multi-criteria Decision-making and Analysis: A Geographic Information Sciences Approach, Ashgate, New York, 1999.

[20] Diamond J T, Wright J R. Design of an integrated spatial information system for multi-objective land-use planning. Environment and Planning B, 1988, 15(2): 205-214.

[21] Aerts J. Spatial decision support for resource allocation: Integration of optimization, uncertainty analysis and visualization techniques. PhD Thesis, Faculty of Science, University of Amsterdam, 2002.

[22] Cambell J C, Radke J, Gless J T, et al. An application of linear programming and geographic information systems: Cropland allocation in antigue. Environment and Planning A, 1992, (24): 525-549.

[23] Chuvieco E. Integration of linear programming and GIS for land use modeling. International Journal of Geographical Information Systems, 1993, 7(1): 71-83.

[24] Eastman J R, Kyem P A K, Toledano J, et al. GIS and Decision Making, UNITAR, Geneva, 1993.

[25] Cromley R G, Hanink D M. Coupling land use allocation models with raster GIS. Journal of Geographical Systems 1, 1999, 137-153.

[26] Jankowski P. Integrating geographical information systems and multiple criteria decision making methods. International Journal of Geographical Information system, 1995, (9): 251-273.

[27] Jiang H, Eastman J R. Application of fuzzy measures in multi-criteria evaluation in GIS. International Journal of Geographical Information Systems, 2000, (14): 173-184.

[28] Jankowski P, Richard L. Integration of GIS-based suitability analysis and multi-criteria evaluation in a spatial decision support system for route selection. Environment and Planning B, 1994, 21(3): 326-339.

[29] Lodwick W A, Monson W, Svoboda L. Attribute error and sensitivity analysis of map operations in geographical information systems: Suitability analysis. International Journal of Geographical Information Systems, 1990, 4(4): 413-428.

[30] Hevelink G B M, Burrough P A, Stein A. Propagation of errors in spatial modeling with GIS. International Journal of Geographical Information Systems, 1989, 3(4): 303-322.

[31] Heywood I, Oliver J, Tomlinson S. Building an Exploratory Multi-criteria Modeling environment for Spatial Decision Support. Innovations in GIS 2, Taylor & Francis, London, 1995, 127-136.

[32] Openshaw S, Abrahart R J. Geo-Computation, Taylor & Francis, London, 2000.

[33] Wang F, Hall G B, Subaryono. Fuzzy information representation and processing in conventional GIS software: Database design and applications. International Journal of Geographical Information System, 1990, (4): 261-283.

[34] Burrough P A, McDonnell R A. Principles of Geographical Information Systems. Oxford University Press, Oxford, 1998.

[35] Sui D Z. Integrating neural networks with GIS for spatial decision-making. Operational Geographer, 1993, 11(2): 13-20.

[36] Zhou J, Civco D L. Using genetic learning neural networks for spatial decision making in GIS. Photogrammetric Engineering and Remote Sensing, 1996, (11): 1287-1295.

[37] Krzanowski R, Raper J. Spatial Evolutionary Modeling. Oxford University Press, Oxford, 2001.

[38] Batty M, Xie Y. From cells to cities. Environment and Planning B, 1994, (21): 31-48.

[39] Zadeh L H. Fuzzy sets. Information and Control 8, 1965, 338-353.

[40] Fisher P. Fuzzy modeling//Openshaw S, Abrahart R J. GeoComputation, Taylor and Francis, London, 2000, 161-186.

[41] Hall G B, Wang F, Subaryono. Comparison of Boolean and fuzzy classification methods in land suitability analysis by using geographical information systems. Environment and Planning A, 1992, (24): 497-516.

[42] Alexander S M, Waters N M, Paquet P C. A probability-based GIS model for identifying focal species linkage zones across highways in the Canadian Rocky Mountains. //Clarke G, Stillwell J. Applied GIS and Spatial Analysis, ESRI Press, Redlands, CA, 2003, 229-261.

[43] Hewiton B D, Crane R G. Neural Nets: Applications in Geography, Kluwer Academic, Dordrecht, 1994.

[44] Gimblett R H, Ball G L, Guise A W. Autonomous rule generation and assessment for complex spatial modeling. Landscape and Urban Planning. 1994, (30): 13-26.

[45] Fischer M M. From conventional to knowledge-based geographic information systems. Computers, Environment and Urban Systems, 1994, 18(4): 233-242.

[46] O’Sullivan D, Unwin D J. Geographic Information Analysis, 2003, Wiley, Hoboken, NJ, 2003.

[47] Brookes C J. A parameterized region-growing programme for site allocation on raster suitability maps. International Journal of Geographical Information Science, 1997, (11): 375-396.

[48] Matthews K B, Craw S, MacKenzie I, et al. Applying Genetic Algorithms to Land Use Planning, Proceedings of the 18th Workshop of the UK Planning and Scheduling Special Interest Group, University of Salford, UK, 15th-16th December, 1999, 109-115.

[49] Bennett D A, Armstrong M P, Wade G A. Agent mediated consensus-building for environmental problems: A genetic algorithm approach. Proceedings, Third International Conference/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, NM, National Center for Geographic Information and Analysis, Santa Barbara, CA, 1996.

[50] Manson S M. Agent-based dynamic spatial simulation of land use/cover change in the Yucatan peninsula, Mexico. Fourth International Conference on Integrating GIS and Environmental Modeling (GIS/EM4), Banff, Canada, 2000.

[51] Guimaraes P A. Extending environmental impact assessment processes generation of alternatives for sitting and routing infrastructural facilities by multi-criteria evalua-   tion and genetic algorithms. PhD Dissertation. New University of Lisbon, Lisbon, Portugal, 1998.

[52] Stewart T J, Janssen R, van Herwijnen M. A genetic algorithm approach to multi-objective land use planning. Computers and Operations Research, 2003.

[53] Couclelis H. From cellular automata to urban models: New principles for model development and implementation. Environment and Planning B, 1997, (24): 165-174.

[54] Li X, Yeh A G. Modeling sustainable urban development by the integration of constrained cellular automata. International Journal of Geographical Information Science, 2000, 14 (2): 131-152.

[55] Clarke K, Gaydos L. Loose-coupling a cellular automaton model and GIS long-term urban growth prediction for San Francisco and Washington/Baltimore. International Journal of Geographical Information Science, 1998, 12(7): 699-    714.

[56] Batty M, Xie Y, Sun Z. Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems, 1999, (23): 205-233.

[57] Ligtenberg A, Bregt A K, van Lammeren R. Multi-actor-based land use modeling: Spatial planning using agents. Landscape and Urban Planning, 2001, 56(1-2): 21-33.

[58] Ferrand N. Modeling and supporting multi-actor planning using multi-agent systems. Third NCGIA Conference on GIS and Environmental Modeling, 1996, Santa Barbara.

国外基于GIS土地适宜性评价研究进展及展望

An Overview and Perspective of Alien Land Suitability Evaluation Study Based on GIS Technology

PDF (PC)

赞

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 0

Metrics

本文评价

推荐阅读 0