Hopkins L. Methods for generating land suitability maps: A comparative evaluation. Journal for American Institute of Planners, 1977, 34(1): 19-29.
 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.
 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.
 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.
 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.
 Kalogirou S. Expert systems and GIS: An application of land suitability evaluation computers. Environment and Urban Systems, 2002(26): 89-112.
 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.
 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.
 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.
 MacDougall E B. The accuracy of map overlay. Landscape Planning. 1975, (2): 23-30.
 Steinitz C, Parker P, Jordan L. Hand drawn overlays: Their history and prospective uses. Landscape Architecture, 1976, (9): 444-455.
 Lyle J, Stutz F. Computerized land use suitability mapping. Cartographic Journal, 1983, (20): 39-49.
 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.
 Turner A K, Miles R D. The GCARS system: A computer-assisted method of regional route location. Highway Research Record, 1971, (348): 1-15.
 Carver S J. Integrating multi-criteria evaluation with geographical information systems. International Journal of Geographical Information System. 1991, 5(3): 321-339.
 Banai R. Fuzziness in geographical information systems: Contributions from the analytic hierarchy process. International Journal of Geographical Information Systems, 1993, (7): 315-329.
 Eastman J R. Idrisi for Windows, Version 2.0: Tutorial Exercises, Graduate School of Geography- Clark University, Worcester, MA, 1997.
 Malczewski J. GIS and Multi-criteria Decision Analysis, Wiley, New York, 1999.
 Thill J C. Multi-criteria Decision-making and Analysis: A Geographic Information Sciences Approach, Ashgate, New York, 1999.
 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.
 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.
 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.
 Chuvieco E. Integration of linear programming and GIS for land use modeling. International Journal of Geographical Information Systems, 1993, 7(1): 71-83.
 Eastman J R, Kyem P A K, Toledano J, et al. GIS and Decision Making, UNITAR, Geneva, 1993.
 Cromley R G, Hanink D M. Coupling land use allocation models with raster GIS. Journal of Geographical Systems 1, 1999, 137-153.
 Jankowski P. Integrating geographical information systems and multiple criteria decision making methods. International Journal of Geographical Information system, 1995, (9): 251-273.
 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.
 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.
 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.
 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.
 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.
 Openshaw S, Abrahart R J. Geo-Computation, Taylor & Francis, London, 2000.
 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.
 Burrough P A, McDonnell R A. Principles of Geographical Information Systems. Oxford University Press, Oxford, 1998.
 Sui D Z. Integrating neural networks with GIS for spatial decision-making. Operational Geographer, 1993, 11(2): 13-20.
 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.
 Krzanowski R, Raper J. Spatial Evolutionary Modeling. Oxford University Press, Oxford, 2001.
 Batty M, Xie Y. From cells to cities. Environment and Planning B, 1994, (21): 31-48.
 Zadeh L H. Fuzzy sets. Information and Control 8, 1965, 338-353.
 Fisher P. Fuzzy modeling//Openshaw S, Abrahart R J. GeoComputation, Taylor and Francis, London, 2000, 161-186.
 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.
 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.
 Hewiton B D, Crane R G. Neural Nets: Applications in Geography, Kluwer Academic, Dordrecht, 1994.
 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.
 Fischer M M. From conventional to knowledge-based geographic information systems. Computers, Environment and Urban Systems, 1994, 18(4): 233-242.
 O’Sullivan D, Unwin D J. Geographic Information Analysis, 2003, Wiley, Hoboken, NJ, 2003.
 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.
 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.
 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.
 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.
 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.
 Stewart T J, Janssen R, van Herwijnen M. A genetic algorithm approach to multi-objective land use planning. Computers and Operations Research, 2003.
 Couclelis H. From cellular automata to urban models: New principles for model development and implementation. Environment and Planning B, 1997, (24): 165-174.
 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.
 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.
 Batty M, Xie Y, Sun Z. Modeling urban dynamics through GIS-based cellular automata. Computers, Environment and Urban Systems, 1999, (23): 205-233.
 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.
 Ferrand N. Modeling and supporting multi-actor planning using multi-agent systems. Third NCGIA Conference on GIS and Environmental Modeling, 1996, Santa Barbara.