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Subject:

Re: References on ABM of Land Use Issues?

From:

Dawn Parker <[log in to unmask]>

Reply-To:

Dawn Parker <[log in to unmask]>

Date:

Tue, 25 Jan 2005 10:20:15 -0500

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You list looks fairly complete.  I have an extensive bibliography with  
some additional references available on my course web site "Spatial  
agent-based models of human-environment interactions":

http://mason.gmu.edu/~dparker3/spat_abm/spat_abm.html
http://mason.gmu.edu/~dparker3/spat_abm/abm_he.enl
http://mason.gmu.edu/~dparker3/spat_abm/abm_he.pdf

And, here is the complete bibliography from a forthcoming chapter,  
"Integration of Geographic Information Systems and Agent-Based Models  
of Land Use: Prospects and Challenges," forthcoming in the ESRI press  
book “GIS, Spatial Analysis and Modeling,” David J. Maguire, Michael F.  
Goodchild and Michael Batty, Editors.

There is a more complete version of this bibliography that I can send  
you if you like, in endnote or text format.

Agarwal, C., G. M. Green, J. M. Grove, T. Evans, and C. Schweik. 2002.  
A review and assessment of land-use change models: Dynamics of space,  
time, and human choice. Burlington, VT: USDA Forest Service  
Northeastern Forest Research Station Publication NE-297.  
http://www.fs.fed.us/ne/newtown_square/publications/technical_reports/ 
pdfs/2002/gtrne297.pdf.
Anas, A., R. Arnott, and K. A. Small. 1998. Urban spatial structure.  
Journal of Economic Literature 36 (3): 1426-1464
Angelsen, A., and D. Kaimowitz. 1998. Rethinking the causes of tropical  
deforestation: Lessons from economic models. The World Bank Research  
Observer 14 (1): 73-98.  
http://www.worldbank.org/research/journals/wbro/obsfeb99/pdf/ 
article4.pdf.
Anselin, L. 1988. Spatial econometrics: Methods and models. Kluwer  
Academic, Studies in Operational Regional Science series, Norwell, MA;  
London and Dordrecht
—. 2002. Under the hood:  Issues in the specification and  
interpretation of spatial regression models. Agricultural Economics 27  
(3): 247-267
Aquino (d'), P., C. Le Page, F. Bousquet, and A. Bah. 2003. Using  
self-designed role-playing games and a multi-agent system to empower a  
local decision-making process for land use management: The selfcormas  
experiment in Senegal. Journal of Artificial Societies and Social  
Simulation 6 (3). <http://jasss.soc.surrey.ac.uk/6/3/5.html>.
Balmann, A. 1997. Farm-based modelling of regional structural change.  
European Review of Agricultural Economics 25 (1): 85-108
Balmann, A., K. Happe, K. Kellermann, and A. Kleingarn. 2003.  
Adjustment costs of agri-environmental policy switchings: A multi-agent  
approach in M. A. Janssen, ed. Complexity and Ecosystem Management: The  
Theory and Practice of Multi-agent Approaches. Edward Elgar Publishers,  
Cheltenham, U.K.; Northampton, MA
Becu, N., P. Perez, B. Walker, O. Barreteau, and C. Le Page. 2003.  
Agent-based simulation of a small catchment water management in  
northern Thailand: Description of the catchscape model. Ecological  
Modelling 170 (2-3): 319-331
Benenson, I., S. Aronovich, and S. Noam. forthcoming. Let's talk  
objects: Generic methodology for urban high-resolution simulation.  
Computers, Environment, and Urban Systems
Benenson, I., and P. Torrens. 2004. Geosimulation: Automata-Based  
Modeling of Urban Phenomena. John Wiley & Sons, London
Berger, T. 2001. Agent-based spatial models applied to agriculture: A  
simulation tool for technology diffusion, resource use changes, and  
policy analysis. Agricultural Economics 25 (2-3): 245-260
Berger, T., and D. C. Parker. 2002. Introduction to Specific Examples  
of Research. Meeting the Challenge of Complexity: Proceedings of the  
Special Workshop on Agent-Based Models of Land-Use/Land-Cover Change.  
CIPEC/CSISS, Santa Barbara. http://www.csiss.org/maslucc/ABM-LUCC.htm.
Berry, B. J. L., L. D. Kiel, and E. Elliot. 2002. Adaptive agents,  
intelligence, and emergent human organization: Capturing complexity  
through agent-based modeling. Proceedings of the National Academy of  
Sciences 99 (Supplement 3): 7178-7188
Boissau, S., and J. C. Castella. 2003. Constructing a common  
representation of local institutions and land use systems through  
simulation-gaming and multi-agent modeling in rural areas of northern  
Vietnam: The SAMBA-Week methodology. Simulations and Gaming 34 (3):  
342-347
Bousquet, F., F. O. Barreteau, P. d'Aquino, M. Etienne, S. Boissau, S.  
Auber, C. L. Page, D. Babin, and J. C. Castella. 2003. Multi-agent  
systems and role games: An approach for ecosystem co-management in M.  
A. Janssen, ed. Multi-Agent Approaches for Ecosystem Management. Edward  
Elgar Publishers, Cheltenham, U.K.; Northampton, MA
Bousquet, F., and D. Gautier. 1998. Comparaison de deux approches de  
modélisation des dynamiques spatiales par simulation multi-agents : Les  
approches spatiales et acteurs. CyberGéo 89.  
http://193.55.107.45/modelis/bousquet/bousquet.htm.
Bousquet, F., and C. Le Page. 2004. Multi-agent simulations and  
ecosystem management: A review. Ecological Modelling 76 (3-4): 313-332
Bousquet, F., C. Le Page, M. Antona, and P. Guizol. 2000. Ecological  
scales and use rights: The use of multiagent systems. Paper presented  
in the Forest and society : The role of research.  Sub-plenary session   
XXI. IUFRO World Congress 2000, Kuala Lumpur.
Bousquet, F., C. LePage, I. Bakam, and A. Takforyan. 2001. Multi-agent  
simulations of hunting wild meat in a village  in eastern Cameroon.  
Ecological Modelling 138 (1-3): 331-346
Briassoulis, H. 1999. Analysis of Land Use Change: Theoretical and  
Modeling Approaches. Regional Research Institute, West Virginia  
University, Morgantown, WV.  
http://www.rri.wvu.edu/WebBook/Briassoulis/contents.htm.
Brown, D., M. North, D. Robinson, R. Riolo, and W. Rand. forthcoming-a.  
Spatial process and data models: Toward integration of agent-based  
models and GIS. Journal of Geographic Systems
Brown, D., R. Riolo, D. Robinson, W. Rand, M. North, and K. Johnston.  
2004. Toward integration of spatial data models and agent-based process  
models. Paper presented in the GIScience 2004: Third International  
Conference on Geographic Information Science, University of Maryland  
Conference Center.
Brown, D. G., S. E. Page, R. Riolo, M. Zellner, and R. W.  
forthcoming-b. Path dependence and the validation of agent-based  
spatial models of land use. International Journal of Geographic  
Information Systems
Caruso, G., M. Rounsevell, and G. Cojocaru. Forthcoming. Exploring a  
spatio-dynamic neighbourhood-based model of residential behaviour in  
the Brussels periurban area. International Journal of Geographical  
Information Science
Deadman, P., D. Robinson, E. Moran, and E. Brondizio. forthcoming.  
Effects of colonist household structure on land-use change in the  
Amazon rainforest: An agent-based simulation approach. Environment and  
Planning B
Dibble, C., and P. G. Feldman. 2004. The GeoGraph 3D Computational  
Laboratory: Network and Terrain Landscapes for RePast. Journal of  
Artificial Societies and Social Simulation 7 (1).  
http://jasss.soc.surrey.ac.uk/7/1/7.html.
Ducrot, R., C. Le Page, P. Bommel, and M. Kuper. 2004. Articulating  
land and water dynamics with urbanization:an attempt to model natural  
resources management at the urban edge. Computers, Environment, and  
Urban Systems 28 (1-2): 85-106
Epstein, J. M., and R. Axtell. 1996. Growing Artificial Societies:  
Social Science from the Ground Up. Brookings Institution Press,  
Washington, D.C.
Etienne, M. 2003a. Sylvopast: A multiple target role-playing game to  
assess negotiation processes in sylvopastoral management planning.  
Journal of Artificial Societies and Social Simulation 6 (2).  
http://jasss.soc.surrey.ac.uk/6/2/5.html.
Etienne, M., Le Page, C. and Cohen, M. 2003b. A step-by-step approach  
to building land management scenarios based on multiple viewpoints on  
multi-agent system simulations. Journal of Artificial Societies and  
Social SImulation 6 (2). http://jasss.soc.surrey.ac.uk/6/2/2.html.
Evans, T. P., and H. Kelley. 2004. Multi-scale analysis of a household  
level agent-based model of landcover change. Journal of Environmental  
Management 72 (1-2): 57-72
Feuillette, S., F. Bousquet, and P. Le Goulven. 2003. Sinuse: A  
multi-agent model to negotiate water demand management on a free access  
water table. Environmental Modelling and Software 18 (5): 413-427
Fleming, M. 2004. Techniques for Estimating Spatially Dependent  
Discrete Choice Models in L. Anselin and R. J. G. M. Florax, eds.  
Advances in Spatial Econometrics. Springer, New York
Fowler, M., and K. Scott. 2000. UML Distilled:  A Brief Guide to the  
Standard Object Modeling Laguage. Addison Wesley Longman, Reading, MA
Geist, H., and E. F. Lambin. 2002. Proximate causes and underlying  
driving forces of tropical deforestation. Bioscience 52 (2): 143-150
Gimblett, H. R., ed. 2002a. Integrating Geographic Information Systems  
and Agent-Based Modeling Techniques for Simulating Social and  
Ecological Processes. Oxford University Press, Oxford, U.K.
—. 2002b. Integrating Geographic Information Systems and agent-based  
technologies for modeling and simulating social and ecological  
phenomena. Pages 1-20 in H. R. Gimblett, ed. Integrating Geographic  
Information Systems and Agent-Based Modeling Techniques for Simulating  
Social and Ecological Processes. Oxford University Press, Oxford, U.K.
Gimblett, H. R., M. T. Richards, and R. Itami. 2002. Simulating  
wildland recreation use and conflicting spatial interactions using  
rule-driven agents. Pages 211-244 in H. R. Gimblett, ed. Integrating  
Geographic Information Systems and Agent-Based Modeling Techniques for  
Simulating Social and Ecological Processes. Oxford University Press,  
Oxford, U.K.
Gimblett, H. R., C. A. Roberts, T. C. Daniel, M. Ratcliff, M. Meitner,  
S. Cherry, D. Stallman, R. Bogle, D. K. Allerd, and J. Bieri. 2002. An  
intelligent agent model for simulating and evaluating river trip  
scenarios along the Colorado River in Grand Canyon National Park. Pages  
245-276 in H. R. Gimblett, ed. Integrating Geographic Information  
Systems and Agent-Based Modeling Techniques for Simulating Social and  
Ecological Processes. Oxford University Press, Oxford, U.K.
Gonçalves, A. S., A. Rodrigues, and L. Correia. 2004. Multi-Agent  
Simulation within Geographic Information Systems. Paper presented in  
the 5th Workshop on Agent-Based Simulation, ABS04, May, Lisbon,  
Portugal.
Gotts, N. M. G., J. G. Polhill, and A. N. R. Law. 2003. Aspiration  
levels in a land use simulation. Cybernetics and Systems 34 (8): 663-683
Grimm, V., and S. F. Railsback. forthcoming. Chapter 1:  Introduction  
in V. Grimm and S. F. Railsback, eds. Individual-based Modeling and  
Ecology. Princeton University Press, Princeton, NJ
Harper, S. J., J. D. Westervelt, and A.-M. Trame. 2002. Management  
application of an agent-based model: Control of cowbirds at the  
landscape scale in H. R. Gimblett, ed. Integrating Geographic  
Information Systems and Agent-Based Modeling Techniques for  
Understanding Social and Ecological Processes. Oxford University Press,  
Oxford, U.K.
Irwin, E., and N. Bockstael. 2002. Interacting agents, spatial  
externalities, and the evolution of residential land use patterns.  
Journal of Economic Geography 2 (1): 31-54
Irwin, E. G., and N. Bockstael. forthcoming. The spatial pattern of  
land use in the U.S. in R. Arnott and D. McMillen, eds. A Companion to  
Urban Economics
Itami, R. 2002. Mobile agents with spatial intelligence. Pages 191-210  
in H. R. Gimblett, ed. Integrating Geographic Information Systems and  
Agent-Based Modeling Techniques for Understanding Social and Ecological  
Processes. Oxford University Press, Oxford, U.K.
Itami, R., R. Raulings, G. MacLaren, K. Hirst, R. Gimblett, D. Zanon,  
and P. Chladek. 2004. Simulating the complex interactions between human  
movement and the outdoor recreation environment. Journal of Nature  
Conservation 11 (4): 278-286
Itami, R. M., G. S. MacLaren, K. M. Hirst, R. J. Raulings, and H. R.  
Gimblett. 2000. RBSIM 2: Simulating human behavior in National Parks in  
Australia: Integrating GIS and Intelligent Agents to predict recreation  
conflicts in high use natural environments. Paper presented in the 4th  
International Conference on Integrating GIS and Environmental Modeling  
(GIS/EM4), September 2 - 8, Banff, Alberta, Canada.  
http://www.colorado.edu/research/cires/banff/pubpapers/57/.
Jackson, R. W. 1994. Object-oriented modeling in regional science: An  
advocacy view. Papers in Regional Science 73 (4): 347-367
Janssen, M. A., ed. 2003. Complexity and Ecosystem Management: The  
Theory and Practice of Multi-Agent Approaches. Edward Elgar Publishers,  
Cheltenham, U.K.; Northampton, MA
Janssen, M. A., and E. Ostrom. forthcoming. Governing social-ecological  
systems in K. Judd and L. Tesfatsion, eds. Handbook of Computational  
Economics II: Agent-Based Computational Economics. North-Holland
Kaimowitz, D., and A. Angelsen. 1998. Economic Models of Tropical  
Deforestation: A Review. Centre for International Forestry Research,  
Jakarta, Indonesia
Kohler, T. A., J. Kresl, C. V. West, E. Carr, and R. H. Wilshusen.  
2000. Be there then: A modeling approach to settlement determinants and  
spatial efficiency among late ancestral pueblo populations of the Mesa  
Verde region, U.S. Southwest. Pages 145-178 in T. A. Kohler and G. J.  
Gumerman, eds. Dynamics in Human and Primate Societies. Oxford  
University Press, New York and Oxford, U.K.
Kwartler, M., and R. N. Bernard. 2001. CommunityViz: An Integrated  
Planning Support System in R. K. Brail and R. E. Klosterman, eds.  
Planning Support Systems Integrating Geographic Systems, Models, and  
Visualization Tools. ESRI Press, Redland, CA
Lambin, E. F., H. Geist, and E. Lepers. 2003. Dynamics of land-use and  
land-cover change in tropical regions. Annual Review of Environmental  
Resources 28: 205-241
Long, J. S. 1997. Regression Models for Categorical and Limited  
Dependent Variables. Sage Publications, Thousand Oaks, CA
Luke, S., G. C. Balan, L. Panait, C. Cioffi-Revilla, and S. Paus. 2003.  
MASON: A Java multi-agent simulation library. Paper presented in the  
Agent 2003 conference: Challenges in social simulation, Chicago, IL.  
http://agent2003.anl.gov/proc.html.
Manson, S. M. 2000. Agent-based dynamic spatial simulation of  
land-use/cover change in the Yucatán peninsula, Mexico. Paper presented  
in the Fourth International Conference on Integrating GIS and  
Environmental Modeling (GIS/EM4), Banff, Canada.  
http://www.tc.umn.edu/~manson/Resources/Manson_2000_GISEM4_ADSS_www.pdf.
—. 2002. Integrated Assessment and Projection of Land-Use and  
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—. forthcoming. The SYPR integrative assessment model: Complexity in  
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Frontiers: Understanding Land Change in the Southern Yucatán Peninsular  
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simulations of interactions between duck populations, farming decisions  
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agent-based model of edge-effect externalities using spatial metrics.  
Agriculture, Ecosystems and Environment 101 (2-3): 233-250
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modeling in H. R. Gimblett, ed. Integrating Geographic Information  
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Systems 13 (3): 191-208


On Tuesday, January 25, 2005, at 06:01 AM, Alan Roach wrote:

> Dear all,
>
> We are reviewing agent-based simulations which integrate social and
> ecological factors in modelling land or water use. So far we have  
> compiled
> a list of 41 references which can be viewed at:
> http://www.complexityscience.org/NoE/ABLUMSrefs1.htm .
>
> If you know of any relevant models we have not included please could  
> you
> email us the details. We will update the table and leave a useful  
> resource
> on this topic.
>
> Many thanks for your help,
>
> Dr Robin Matthews
> Programme Leader, Landscape Change Programme
> Macaulay Institute
> Craigiebuckler
> Aberdeen AB15 8QH, UK
>
> and
>
> Alan Roach
> CRESS: Centre for Research in Social Simulation
> Department of Sociology
> University of Surrey
> Guildford
> Surrey GU2 7XH, UK
>
Dawn Cassandra Parker
Assistant Professor
Departments of Geography and Environmental Science and Policy
Center for Social Complexity
George Mason University
703-993-4640
[log in to unmask]
http://mason.gmu.edu/~dparker3

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