Ardila, J. P., W. Bijker, V. A. Tolpekin, and A. Stein. 2012. Multitemporal change detection of urban trees using localized region-based active contours in VHR images. Remote Sensing of Environment 124:413-426.

Arthur, W. B., ed. 1994. Urban Systems and Historical Path Dependence. Ann Arbor, MI: The University of Michican Press.

Babiker, M., A. Gurgel, S. Paltsev, and J. Reilly. 2008. A Forward Looking Version of the MIT Emissions Prediction and Policy Analysis (EPPA) Model. MIT Joint Program on the Science and Policy of Global Change Report No. 161, Cambridge, MA.

Baker, W. L. 1989. A review of models of landscape change. Landscape Ecology 2(2):111-133.

Barreteau, O., F. Bousquet, and J.-M. Attonaty. 2001. Role-playing games for opening the black box of multi-agent systems: Method and lessons of its application to Senegal River Valley irrigated systems. Journal of Artificial Societies and Social Simulation 4(2). Available at (accessed August 2013).

Batty, M. 2008. The size, scale, and shape of cities. Science 319(5864):769-771.

Batty, M. and P. M. Torrens. 2005. Modeling and prediction in a complex world. Futures 37(7): 745-766.

Batty, M., and Y. Xie. 1994. From cells to cities. Environment and Planning B: Planning and Design 21(Suppl):s31-s48.

Baumann, M., M. Ozdogan, T. Kuemmerle, K. J. Wendland, E. Esipova, and V. C. Radeloff. 2012. Using the Landsat record to detect forest-cover changes during and after the collapse of the Soviet Union in the temperate zone of European Russia. Remote Sensing of Environment 124:174-184.

Beckman, M. J. 1972. Von Thünen revisted: A neoclassical land use model. The Swedish Journal of Economics 74(1):1-7.

Berger, T., and P. Schreinemachers. 2006. Creating agents and landscapes for multiagent systems from random samples. Ecology and Society 11(2):19.

Berling-Wolff, S., and J. Wu. 2004. Modeling urban landscape dynamics: A case study in Phoenix. Urban Ecosystems 7(3):215-240.

Beven, K., and J. Freer. 2001. Equifinality, data assimilation, and uncertainty estimation in mechanistic modelling of complex environmental systems using the GLUE methodology. Journal of Hydrology 249(1-4):11-29.

Bishop, C. M. 1995. Neural Networks for Pattern Recognition. Oxford University Press.

Bockstael, N. 1996. Modeling economics and ecology: The importance of a spatial perspective. American Journal of Agricultural Economics 78:1168-1180.

Bondeau, A., P. C. Smith, S. Zaehle, S. Schaphoff, W. Lucht, W. Cramer, D. Gerten, H. Lotze-Campen, C. Müller, M. Reichstein, and B. Smith. 2007. Modelling the role of agriculture for the 20th century global terrestrial carbon balance. Global Change Biology, 13:679–706.

Boserup, E. 1965. The Conditions of Agricultural Growth: The Economics of Agrarian Change Under Population Pressure. Chicago: Aldine.

Brady, M., and E. G. Irwin. 2011. Accounting for spatial effects in economic models of land use: Recent developments and challenges ahead. Environmental and Resource Economics 48(3):487-509.

Brocca, L., F. Melone, T. Moramarco, W. Wagner, and S. Hasenauer. 2010. ASCAT soil wetness index validation through in situ and modeled soil moisture data in central Italy. Remote Sensing of Environment 114(11):2745-2755.

Brock, W., and A. Xepapadeas. 2010. Pattern formation, spatial externalities and regulation in ecological-economic systems. Journal of Environmental Economics and Management 59:149-165.

Brooks, J., and J. Dewbre. 2006. Global trade reforms and income distribution in developing countries. eJADE: Electronic Journal of Agricultural and Development Economics 3(1):86-111.

Brown, D. G. 2006. Agent-based models. Pp. 7-13 in The Earth’s Changing Land: An Encyclopedia of Land-Use and Land-Cover Change, edited by H. Geist. Westport, Conn.: Greenwood Publishing Group.

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