Adams, D. M., R. J. Alig, B. A. McCarl. 2005. FASOMGHG Conceptual Structure, and Specification: Documentation. Texas A&M University, Available at http://agecon2.tamu.edu/people/faculty/mccarl-bruce/papers/1212FASOMGHG_doc.pdf (accessed August 2013).
Agarwal, C., G. M. Green, J. M. Grove, T. P. Evans, C. M. Schweik. 2002. A review and assessment of land-use change models: Dynamics of space, time, and human choice. USDA Forest Service, Northern Research Station, General Technical Report NE-297. Newtown Square, Pa. Available at http://nrs.fs.fed.us/pubs/gtr/gtr_ne297.pdf (accessed August 2013).
Alcamo, J., R. Leemans, and E. Kreileman, eds. 1998. Global Change Scenarios of the 21st Century—Results from the IMAGE 2.1 Model. Oxford, U.K.: Elsevier Science.
Almeida, C. M., J. M. Gleriani, E. F. Castejon, and B.S. Soares]Filho. 2008. Using neural networks and cellular automata for modelling intra]urban land]use dynamics. International Journal of Geographical Information Science. 22(9):943-963.
An, L. 2012. Modeling human decisions in coupled human and natural systems: Review of agent-based models. Ecological Modelling 229:25-36.
An, L., M. Linderman, J. Qi, A. Shortridge, and J. Liu. 2005. Exploring complexity in a human-environment system: An agent-based spatial model for multidisciplinary and multiscale integration. Annals of the Association of American Geographers 95(1):54-79.
Andam, K. W., P. J. Ferraro, A. J. Pfaff, G. A. Sanchez-Azofeifa, and J. A. Robalino. 2008. Measuring the effectiveness of protected area networks in reducing deforestation. Proceedings of the National Academy of Sciences of the United States of America 105(42):16089-16094.
André, F. J., M. A. Cardenete, and C. Romero. 2010. Designing Public Policies, Lecture Notes in Economics and Mathematical Systems, Vol. 642. Berlin: Springer-Verlag.
Antle, J., S. Capalbo, S. Mooney, E. Elliott, and K. Paustian. 2001. Economic analysis of agricultural soil carbon sequestration: An integrated assessment approach. Journal of Agricultural and Resource Economics 26(2):344-367.
Antle, J., S. Capalbo, S. Mooney, E. Elliott, and K. Paustian. 2003. Spatial heterogeneity, contract design and the efficiency of carbon sequestration policies for agriculture. Journal of Environmental Economics and Management 46:241-250.
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 http://jasss.soc.surrey.ac.uk/4/2/5.html (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.
Brown, D. G., and D. T. Robinson. 2006. Effects of heterogeneity in residential preferences on an agent-based model of urban sprawl. Ecology and Society 11(1):46.
Brown, D. G., B. C. Pijanowski, and J. D. Duh. 2000. Modeling the relationships between land use and land cover on private lands in the Upper Midwest, USA. Journal of Environmental Management 59:247-263.
Brown, D. G., S. E. Page, R. L. Riolo, and W. Rand. 2004. Agent based and analytical modeling to evaluate the effectiveness of greenbelts. Environmental Modelling and Software 19(12):1097-1109.
Brown, D. G., S. E. Page, R. Riolo, M. Zellner, and W. Rand. 2005. Path dependence and the validation of agent-based spatial models of land use. International Journal of Geographical Information Science 19(2):153-174.
Brown, D. G., R. Aspinall, and D. A. Bennett. 2006. Landscape models and explanation in landscape ecology: A space for generative landscape science? Professional Geographer 58(4):369-382.
Bulygina, N., C. Ballard, N. McIntyre, G. O’Donnell, and H. Wheater. 2012. Integrating different types of information into hydrological model parameter estimation: Application to ungauged catchments and land use scenario analysis. Water Resources Research. 48(6): W06519.
Burnham, B. O. 1973. Markov intertemporal land use simulation model. Southern Journal of Agricultural Economics 5(1):253-258.
Burniaux, J.-M., and H.-L. Lee. 2003. Modelling Land Use Changes in GTAP. Available at http://www.gtap.agecon.purdue.edu/resources/download/1509.pdf (accessed March 2005).
Capozza, D. R. and R. W. Helsley. 1989. The fundamentals of land prices and urban growth. Journal of Urban Economics 26(3):295-306.
Capozza, D. R. and R. W. Helsley. 1990. The stochastic city. Journal of Urban Economics 28(2):187-203.
Carlson, K. M., L. M. Curran, D. Ratnasari, A. M. Pittman, B. S. Soares-Filho, G. P. Asner, S. N. Trigg, D. A. Gaveau, D. Lawrence, and H. O. Rodrigues. 2012. Committed carbon emissions, deforestation, and community land conversion from oil palm plantation expansion in West Kalimantan, Indonesia. Proceedings of the National Academy of Sciences of the United States of America 109(19):7559-7564.
Caruso, G., D. Peeters, J. Cavailhes, and M. Rounsevell. 2007. Spatial configurations in a periurban city. A cellular automata-based microeconomic model. Regional Science and Urban Economics 37(5):542-567.
Castella, J. C., T. N. Trung, and S. Boissau. 2005. Participatory simulation of land use changes in the northern mountains of Vietnam: The combined use of an agent-based model, a role-playing game, and a geographic information system. Ecology and Society 10(1): Art27.
Castillo, D., and A. K. Saysel. 2005. Simulation of common pool resource field experiments: A behavioral model of collective action. Ecological Economics 55(3):420-436.
Chan, K. M. A., M. R. Shaw, D. R. Cameron, E. C. Underwood, and G. C. Daily. 2006. Conservation planning for ecosystem services. PLoS Biology 4:2138-2152.
Chand, T. R. K., K. V. S. Badarinath, C. D. Elvidge, and B. T. Tuttle. 2009. Spatial characterization of electrical power consumption patterns over India using temporal DMSP-OLS night-time satellite data. International Journal of Remote Sensing 30(3):647-661.
Chen, G., G. J. Hay, L. M. T. Carvalho, and M. A. Wulder. 2012. Object-based change detection. International Journal of Remote Sensing 33(14):4434-4457.
Chen, Y., E. G. Irwin, and C. Jayaprakash 2011. Incorporating spatial complexity into economic models of land markets and land use change. Agricultural and Resource Economics Review 40(3):321-340.
Chen, X., and W. D. Nordhaus. 2011. Using luminosity data as a proxy for economic statistics. Proceedings of the National Academy of Sciences of the United States of America 108(21):8589-8594.
Church, R. L., and A. T. Murray. 2008. Business Site Selection, Location Analysis and GIS. Hoboken, N.J.: John Wiley & Sons.
Claessens, L., P. H. Verburg, J. M. Schoorl, L. Geraedts, and A. Veldkamp. 2009. Modelling feedback mechanisms between land use change and landscape processes. Agriculture, Ecosystems & Environment 129:157-170.
Claggett, P., C. A. Jantz, S. J. Goetz, and C. Bisland. 2004. Assessing development pressure in the Chesapeake Bay watershed: An evaluation of two land-use change models. Environmental Monitoring and Assessment 94(1-3):129-146.
Clarke, K. C. 2008. A decade of cellular modeling with SLEUTH: Unresolved issues and problems. Pp. 47-60 in Planning Support Systems for Cities and Regions, ed. R. K. Brail. Hollis, N.H.: Puritan Press.
Clarke, K. C., and L. J. Gaydos. 1998. Loose-coupling a cellular automaton model and GIS: Long-term urban growth prediction for San Fransisco and Washington/Baltimore. International Journal of Geographical Information Science 12(7):699-714.
Clarke, K. C., S. Hoppen, and L. Gaydos. 1997. A self-modifying cellular automaton model of historical urbanization in the San Francisco Bay area. Environment and Planning B 24(2):247-261.
Claessens, L., P. H. Verburg, J. M. Schoorl, L. Geraedts, A. Veldkamp. 2009. Modelling feedback mechanisms between land use change and landscape processes. Agriculture, Ecosystems & Environment 129:157-170.
Collins, S. L., S. M. Swinton, C. W. Anderson, T. Gragson, N. B. Grimm, M. Grove, A. K. Knapp, G. Kofinas, J. Magnuson, B. McDowell, J. Melack, J. Moore, L. Ogden, O. J. Reichman, G. P. Robertson, M. D. Smith, A. Whitmer. 2008. Integrative Science for Society and Environment: A Strategic Research Initiative. The U.S. Long Term Ecological Research Network. p8. Available at http://intranet2.lternet.edu/sites/intranet2.lternet.edu/files/documents/LTER_History/Planning_ Documents/ISSE_v6.pdf (accessed August 2013).
Conley, T. J., and C. R. Udry. 2010. Learning about a new technology: Pineapple in Ghana. American Economic Review 100(1):35-69.
Connors, J. P., S. Lei, and M. Kelly. 2012. Citizen science in the age of neogeography: Utilizing volunteered geographic information for environmental monitoring. Annals of the Association of American Geographers 102(6):1267-1289.
Coppin P., I. Jonckheere, and K. Nackaerts. 2004. Digital change detection methods in ecosystem monitoring: A review. International Journal of Remote Sensing 25(9):1565-1596.
Costanza, R. 2000. Social goals and the valuation of ecosystem services. Ecosystems 3:4-10.
Couclelis, H. 1985. Cellular worlds: A framework for modeling micro-macro dynamics. Environment and Planning A 17(5):585-596.
Crout, N., T. Kokkonen, A.J. Jakeman, J.P. Norton, L.T.H. Newham, R. Anderson, H. Assaf, B.F.W. Croke, N. Gaber, J. Gibbons, D. Holzworth, J. Mysiak, J. Reichl, R. Seppelt, T. Wagener, and P. Whitfield. 2008. Developments in Integrated Environmental Assessment. Environmental Modelling, Software and Decision Support 3:15-31.
Cushman, S. A., J. S. Evans, K. McGarigal, J. M. Kiesecker. 2010. Toward Gleasonian Landscape Ecology: From Communities to Species, From Patches to Pixels. U.S. Department of Agriculture Research Paper RMRS-RP-84. Forest Service Rocky Mountain Research Station: Fort Collins, CO. 12 p.
d’Aquino, 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):5, available at http://jasss.soc.surrey.ac.uk/6/3/5.html (accessed August 2013).
DeAngelis, D. L., and L. J. Gross (eds.). 1992. Individual-Based Models and Approaches in Ecology: Populations, Communities and Ecosystems. New York: Chapman & Hall, 525 pp.
de Beurs, K. M. and G. M. Henebry. 2005. A statistical framework for the analysis of long image time series. International Journal of Remote Sensing 26(8):1551-1573.
de Beurs, K. M., C. K. Wright, G. M. Henebry. 2009. Dual scale trend analysis distinguishes climatic from anthropogenic effects on the vegetated land surface. Environmental Research Letters 4:045012, doi:10.1088/1748-9326/4/4/045012.
Debinski, D.M. and R.D. Holt. 2000. Habitat fragmentation experiments: a global survey and overview. Conservation Biology. 14:342-355.
De Cara, S., M. Houzé, and P.-A. Jayet. 2005. Methane and nitrous oxide emissions from agriculture in the EU: A spatial assessment of sources and abatement costs. Environmental and Resource Economics 32:551-583.
DeFries, R. S., J. A. Foley, and G. P. Asner. 2004. Land-use choices: Balancing human needs and ecosystem function. Frontiers in Ecology and Environment 2(5):249-257.
De Nijs, T. C. M, R. de Niet, and L. Crommentuijn. 2004. Constructing land-use maps of the Netherlands in 2030. Journal of Environmental Management 72:35-42.
de Palma, A., N. Picard, and P. Waddell. 2007. Discrete choice models with capacity constraints: An empirical analysis of the housing market of the greater Paris region. Journal of Urban Economics 62(2):204-230.
Desai, A., P. R. Moorcroft, P. V. Bolstad, and K. J. Davis. 2007. Regional carbon fluxes from an observationally constrained dynamic ecosystem model: Impacts of disturbance, CO2 fertilization, and heterogeneous land cover. Journal of Geophysical Research. 112: G01017.
de Sherbinin, A., L. K. VanWey, K. McSweeney, R. Aggarwal, A. Barbieri, S. Henry, and R. Walker. 2008. Rural household demographics, livelihoods and the environment. Global Environmental Change. 18(1):38-53.
De Souza Filho, C. R., J. Zullo, Jr., and C. Elvidge. 2004. Brazil’s 2001 energy crisis monitored from space. International Journal of Remote Sensing 25(12):2475-2482.
Desmet, K., and E. Rosi-Hansberg. 2010. On spatial dynamics. Journal of Regional Science 50:43-63.
Di Gregorio, A. 2005. Land Cover Classification System. Classification Concepts and User Manual. Software Version 2. Environment and Natural Resources Series No. 8. Food and Agriculture Organization of the United Nations, Rome. 190 pp. [CD-ROM].
Duke, J. M. and J. Wu (eds). 2013. The Oxford Handbook of Land Economics. Oxford University Press: Oxford, UK.
Dumrongrojwatthana, P., C. LePage, N. Gajaseni, and G. Trebuil. 2011. Co-constructing an agentbased model to mediate land use conflict between herders and foresters in northern Thailand. Journal of Land Use Science 6(2-3):101-120.
Eastman, J.R. 2007. The Land Change Modeler, a software extension for ArcGIS. Worcester, Mass.: Clark University.
Eastman, J. R., W. Jin, P. A. K. Kyem, and J. Toledano. 1995. Raster procedures for multi-criteria/multi-objective decisions. Photogrammetric Engineering & Remote Sensing. 61(5):539-547.
Eastman, J.R., M. E. Van Fossen, and L. A. Solarzano. 2005. Transition potential modeling for landcover change. GIS, Spatial Analysis, and Modeling, eds. D. J. Maguire, M. Batty, and M. F. Goodchild. Redlands Calif.: ESRI Press, p357.
Eastman, J. R., F. Sangermano, B. Ghimire, H. Zhu, H. Chen, N. Neeti, Y. Cao, and S. Crema. 2009. Seasonal trend analysis of image time series, International Journal of Remote Sensing. 30(10):2721-2726.
Ebbers, M. J. H., I. R. Wallis, S. Dury, R. Floyd, and W. J. Foley. 2002. Spectrometric prediction of secondary metabolites and nitrogen in fresh Eucalyptus foliage: towards remote sensing of the nutritional quality of foliage for leaf-eating marsupials. Australian Journal of Botany. 50(6):761-768.
Edmonds, J. A., R. A. Brown, M. A. Wise, H. Kheshgi, R. D. Sands 1996. Agriculture, Land Use, and Commercial Biomass Energy. Report No. PNNL-SA-27726, Pacific Northwest National Laboratories, Washington, DC. 25 pp.
Entwisle, B., G. Malanson, R. R. Rindfuss, and S. J. Walsh. 2008. An agent-based model of household dynamics and land use change. Journal of Land Use Science 3(1):73-93.
EPA (U.S. Environmental Protection Agency). 2009. Guidance on the Development, Evaluation, and Application of Environmental Models. EPA-100-K-09-003. Office of the Science Advisor. Washington, DC: U.S. Environmental Protection Agency. p90.
Epstein, J. M. 2006. Generative Social Science: Studies in Agent-Based Computational Modeling. Princeton, N.J.: Princeton University Press.
Erb, K. H., F. Krausmann, W. Lucht, and H. Haberl. 2009. Embodied HANPP: Mapping the spatial disconnect between global biomass production and consumption. Ecological Economics 69(2):328-334.
Evans, T. P., W. Sun, and H. Kelley. 2006. Spatially explicit experiments for the exploration of land use decision]making dynamics. International Journal of Geographic Information Science 20(9):1013-1037.
Evans, T. P., K. Phanvilay, J. Fox, and J. Vogler. 2011. An agent-based model of agricultural innovation, land-cover change and household inequality: The transition from swidden cultivation to rubber plantations in Laos PDR. Journal of Land Use Science 6(2-3):151-173.
FAO (Food and Agriculture Organisation of the United Nations). 1978. Report on the Agro-Ecological-Zones Project, Vol. 1: Methodology and Results for Africa. Rome: FAO.
Farley, K. A., E. G. Jobbágy, and R. B. Jackson. 2005. Effects of afforestation on water yield: A global synthesis with implications for policy. Global Change Biology 11:1565-1576.
Fearnside, P. M. 1996. Amazonian deforestation and global warming: Carbon stocks in vegetation replacing Brazil’s Amazon forest. Forest Ecology and Management 80(1-3):21-34.
Filatova, T., D. C. Parker, and A. van der Veen. 2009. Agent-based urban land markets: Agent’s pricing behavior, land prices and urban land use change. Journal of Artificial Societies and Social Simulation 12(1). Available at http://jasss.soc.surrey.ac.uk/12/1/3.html (accessed August 2013).
Filatova, T., D. C. Parker, and A. van der Veen. 2011. The implications of skewed risk perception for a Dutch coastal land market: Insights from an agent-based computational economics model. Agricultural and Resource Economics Review 40(3):405-423.
Flanagin, A. J. and M. J. Metzger. 2008. The credibility of volunteered geographic information. GeoJournal 72(3-4):137-148.
Foley, J. A., R. DeFries, G. P. Asner, C. Barford, G. Bonan, S. R. Carpenter, F. S. Chapin, M. T. Coe, G. C. Daily, H. K. Gibbs, J. H. Helkowski, T. Holloway, E. A. Howard, C. J. Kucharik, C. Monfreda, J. A. Patz, and I. C. Prentice. 2005. Global consequences of land use. Science 309(5734):570-574.
Fox, J., and J. B. Vogler. 2005. Land-use and land-cover change in montane mainland southeast Asia. Environmental Management 36:394-403.
Franke, J., V. Keuck, and F. Siegert. 2012. Assessment of grassland use intensity by remote sensing to support conservation schemes. Journal for Nature Conservation 20(3):125-134.
Fujita, M., P. Krugman, and T. Mori. 1999. On the evolution of hierarchical urban systems. European Economic Review 43(2):209-251.
Fujita, M., P. Krugman, and A. J. Venables. 1999. The Spatial Economy: Cities, Regions and International Trade. Cambridge, Mass.: MIT Press.
Galor, O., and D. N. Weil. 2000. Population, technology, and growth: from Malthusian stagnation to the demographic transition and beyond. American Economic Review. 90(4):806-828.
Gandhi, R., R. Veeraraghavan, K. Toyama, and V. Ramprasad. 2009. Digital Green: Participatory video and mediated instruction for agricultural extension. Information Technologies and International Development 5(1):1-15.
Gardner, M. 1970. Mathematical games: The fantastic combinations of John Conway’s new solitaire game ‘life’. Scientific American 223:120-123.
Goigel Turner, M. 1988. A spatial simulation model of land use changes in a Piedmont county in Georgia. Applied Mathematics and Computation 27(1):39-51.
Goldstein, N. C. 2004. Brains vs. brawn – Comparative strategies for the calibration of a cellular automata–based urban growth model. GeoDynamics, ed. P. Atkinson, G. Foody, S. Darby, and F. Wu. Boca Raton, Fla.: CRC Press.
Goldstein, J. H., G. Caldarone, T. K. Duarte, D. Ennaanay, N. Hannahs, G. Mendoza, S. Polasky, S. Wolny, and G. C. Daily. 2012. Integrating ecosystem-service tradeoffs into land-use decisions. Proceedings of the National Academy of Sciences of the United States of America 109(19):7565-7570.
Goodchild, M. 2007. Citizens as sensors: The world of volunteered geography. GeoJournal 69:211-221.
Ghosh, A., S. Dehuri, and S. Ghosh, eds. 2008. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Berlin: Springer-Verlag. p159.
Gotts, N. M., J. G. Polhill, and A. N. R. Law. 2003. Aspiration levels in a land use simulation. Cybernetics and Systems 34:663-683.
Grimm, V., E. Revilla, U. Berger, F. Jeltsch, W. M. Mooij, S. F. Railsback, H.-H. Thulke, J. Weiner, T. Wiegand, and D. L. DeAngelis. 2005. Pattern-oriented modeling of agent-based complex systems: Lessons from ecology. Science 310(5750):987-991.
Grimm, V., U. Berger, F. Bastiansen, S. Eliassen, V. Ginot, J. Giske, J. Goss-Custard, T. Grand, S. K. Heinz, G. Huse, A. Huth, J. U. Jepsen, C. Jørgensen, W. M. Mooij, B. Müller, G. Pe’er, C. Piou, S. F. Railsback, A. M. Robbins, M. M. Robbins, E. Rossmanith, N. Rüger, E. Strand, S. Souissi, R. A. Stillman, R. Vabø, U. Visser, and D. L. DeAngelis. 2006. A standard protocol for describing individual-based and agent-based models. Ecological Modelling 198(1-2):115-126. Guan, D., H. Li, T. Inohae, W. Su, T. Nagaie, and K. Hokao. 2011. Modeling urban land use change by the integration of cellular automaton and Markov model. Ecological Modelling 222(20-22):3761-3772.
Gutierrez-Velez, V., and R. G. Pontius, Jr. 2012. Influence of carbon mapping and land change modelling on the prediction of carbon emissions from deforestation. Environmental Conservation 39(4):325-336.
Hägerstrand, T. 1967. Innovation Diffusion as a Spatial Process. Chicago: University of Chicago Press. 350p.
Hall, K., T. Reitalu, M. T. Sykes, and H. C. Prentice. 2012. Spectral heterogeneity of QuickBird satellite data is related to fine-scale plant species spatial turnover in semi-natural grasslands. Applied Vegetation Science 15(1):145-157.
Havlík, P., E. Schmid, U. A. Schneider, M. Obersteiner, R. Skalský, A. Mosnier, et al. 2008. GLO-BIOM—Global Biomass Optimization Model: Biofuels and Land Use Change. Presented at RSB—Biofuels and Land Use Change, November 21, 2008, São Paulo, Brazil.
Henderson, J. V., A. Storeygard, and D. N. Weil. 2012. Measuring economic growth from outer space. American Economic Review 102(2):994-1028.
Herold, M., N. C. Goldstein, and K. C. Clarke. 2003. The spatiotemporal form of urban growth: Measurement, analysis and modeling. Remote Sensing of Environment 86:286-302.
Hertel, T. W., S. Rose, and R. S. J. Tol. 2009. Land use in computable general equilibrium models: An overview. Chapter 1 in Economic Analysis of Land Use in Global Climate Change Policy, ed. T. W. Hertel, S. Rose, and R. S. J. Tol. London: Routledge. p348
Hilbert, D. W. and B. Ostendorf. 2001. The utility of artificial neural networks for modelling the distribution of vegetation in past, present and future climates. Ecological Modelling. 146(1): 311-327.
Horsburgh, J. S., D. G. Tarboton, M. Piasecki, D. R. Maidment, I. Zaslavsky, D. Valentine, and T. Whitenack. 2009. An integrated system for publishing environmental observations data. Environmental Modelling and Software 24(8):879-888.
Hsieh, W. W. 2009. Machine Learning Methods in the Environmental Sciences: Neural Networks and Kernels. New York, N.Y.: Cambridge University Press.
Hsin, H., F. van Tongeren, J. Dewbre, and H. van Meijl. 2004. A New Representation of Agricultural Production Technology in GTAP. GTAP Resource #1504. Available at http://www.gtap.agecon.purdue.edu/resources/res_display.asp?RecordID=1504 (accessed August 2013).
Huettner, M., R. Leemans, K. Kok, and J. Ebeling. 2009. A comparison of baseline methodologies for ‘Reducing Emissions from Deforestation and Degradation’. Carbon Balance and Management, 4(1):4.
Huigen, M. G. A., K. P. Overmars, and W. T. de Groot. 2006. Multiactor modeling of settling decisions and behavior in the San Mariano Watershed, the Philippines: A first application with the MameLuke framework. Ecology and Society 11(2):33. Available at http://www.ecologyandsociety.org/vol11/iss2/art33/ (accessed August 2013).
Hurtt, G. C., S. Frolking, M.G. Fearon, B. Moore, E. Shevliakova, S. Malyshev, S. W. Pacala, and R. A. Houghton. 2006. The underpinnings of land-use history: Three centuries of global gridded land-use transitions, wood-harvest activity, and resulting secondary lands. Global Change Biology 12(7):1208-1229.
Hurtt, G. C., L. P. Chini, S. Frolking, R. A. Betts, J. Feddema, G. Fischer, J. P. Fisk, K. Hibbard, R. A. Houghton, A. Janetos, C. D. Jones, G. Kindermann, T. Kinoshita, K. Klein Goldewijk, K. Riahi, E. Shevliakova, S. Smith, E. Stehfest, A. Thomson, P. Thornton, D. P. van Vuuren, and Y. P. Wang. 2011. Harmonization of land-use scenarios for the period 1500–2100: 600 years of global gridded annual land-use transitions, wood harvest, and resulting secondary lands. Climatic Change 109(1):117-161.
Ignaciuk, A. M., and B. D. Rob. 2006. Biomass and multi-product crops for agricultural and energy production. Energy Economics 28:308-325.
IPCC. 2000. Emissions Scenarios. Summary for Policymakers. A special report of Working Group II of the IPCC. WMO and UNEP. [Online]. Available at http://www.ipcc.ch/pdf/special-reports/spm/sres-en.pdf (accessed March 14, 2013).
IPCC. 2001. Climate Change 2001: Impacts, Adaptation and Vulnerability, ed. J. J. McCarthy, O. F. Canziani, N. A. Leary, D. J. Dokken, and K. S. White. Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, Mass.: Cambridge University Press.
Irwin, E. G., and N. E. 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. E. Bockstael. 2004. Land use externalities, open space preservation, and urban sprawl. Regional Science and Urban Economics 34:705-725.
Irwin, E. G., and N. E. Bockstael. 2007. The evolution of urban sprawl: evidence of spatial heterogeneity and increasing land fragmentation. Proceedings of the National Academy of Sciences 104(52):20672-20677.
Irwin, E. G., and D. Wrenn. 2013. An assessment of empirical methods for modeling land use. In The Oxford Handbook of Land Economics, edited by J. M. Duke and J. Wu. New York: Oxford University Press.
Irwin, E. G., K. P. Bell, N. E. Bockstael, D. Newburn, M. D. Partridge, and J. Wu. 2009. The economics of urban-rural space. Annual Review of Resource Economics 1(1):435-459.
Janssen, M. A., and E. Ostrom. 2006. Empirically based, agent-based models. Ecology and Society 11(2):37. Available at http://www.ecologyandsociety.org/vol11/iss2/art37/ (accessed August 2013).
Jantz, C. A., S. J. Goetz, P. Claggett, and D. Donato. 2010. Modeling regional patterns of urbanization in the Chesapeake Bay Watershed. Computers, Environment and Urban Systems 34:1-16. Jenerette, D. G., and J. Wu. 2001. Analysis and simulation of land-use change in the central Arizona–Phoenix region, USA. Landscape Ecology 16(7):611-626.
Jepsen, M. R., S. Leisz, K. Rasmussen, J. Jakobsen, L. Møller-Jensen, and L. Christiansen. 2006. Agent-based modelling of shifting cultivation field patterns, Vietnam. International Journal of Geographical Information Science 20:1067-1085.
Kaliraj, S. and V. K. Malar. 2012. Geospatial analysis to assess the potential site for coal based thermal power station in Gujarat, India. Advances in Applied Science Research. 3(3):1554-1562.
Kaye, J. P., R. L. McCulley, and I. C. Burke. 2005. Carbon fluxes, nitrogen cycling, and soil microbial communities in adjacent urban, native and agricultural ecosystems. Global Change Biology. 11(4):575-587.
Keeney, R., and T. W. Hertel. 2005. GTAP-AGR: A Framework for Assessing the Implications of Multilateral Changes in Agricultural Policies. GTAP Technical Paper No. 24, Center for Global Trade Analysis, Purdue University, West Lafayette, IN.
Keeney, R., and T. W. Hertel. 2009. The indirect land use impacts of United States biofuel policies: The importance of acreage, yield, and bilateral trade responses. American Journal of Agricultural Economics 91(4):895-909.
Khanna, M. and C. L. Crago. 2012. Measuring indirect land use change with biofuels: Implications for policy Annual Review of Resource Economics 4:161-184.
Kienast, F., J. Bolliger, M. Potschin, R. de Groot, P. Verburg, I. Heller, D. Wascher, and R. Haines-Young. 2009. Assessing landscape functions with broad-scale environmental data: Insights gained from a prototype development for Europe. Environmental Management 44(6):1099-1120.
Kirwan, B. E. 2009. The incidence of U.S. agricultural subsidies on farmland rental rates. Journal of Political Economy 117(1):138-164.
Kittur, A., E. H. Chi, and B. Suh 2008. Crowdsourcing user studies with Mechanical Turk. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. p453-456.
Klaiber, H. A., and N. V. Kuminoff. 2013. Equilibrium sorting models of land use and residential location. In The Oxford Handbook of Land Economics, edited by J. M. Duke and J. Wu. New York: Oxford University Press.
Klaiber, H. A., and D. Phaneuf. 2010. Valuing open space in a residential sorting model of the Twin Cities. Journal of Environmental Economics and Management 60:57-77.
Klaiber, H. A., and D. Phaneuf. In press. Linking demand and supply in a housing market sorting model. Journal of Urban Economics.
Klein Goldewijk, K., and N. Ramankutty. 2004. Land cover change over the last three centuries due to human activities: The availability of new global data sets. GeoJournal 61(4):335-344.
Klosterman, R. E. 1999. The what if? Collaborative planning support system. Environment and Planning, B: Planning and Design. 26:393-408.
Krugman, P. 1991. Increasing returns and economic geography. Journal of Political Economy 99(3):483-499.
Krugman, P. 1999. The role of geography in development. International Regional Science Review 22(2):142-161.
Kuminoff, N. 2009. Decomposing the structural identification of non-market values. Journal of Environmental Economics and Management 57(2):123-129.
Kuminoff, N. V., V. K. Smith, and C. Timmins. 2010. The New Economics of Equilibrium Sorting and Its Transformational Role for Policy Evaluation. NBER Working Paper. Available at http://www.nber.org/papers/w16349 (accessed August 2013).
Laliberte, A. S., A. Rango, K. M. Havstad, J. F. Paris, R. F. Beck, R. McNeely, and A. L. Gonzalez. 2004. Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico. Remote Sensing of Environment 93(1-2):198-210.
Lambin, E. F. 1997. Modelling and monitoring land-cover change processes in tropical regions. Progress in Physical Geography. 21(3):375-393.
Lapola, D. M., R. Schaldach, J. Alcamo, A. Bondeau, J. Koch, C. Koelking, and J. A. Priess. 2010. Indirect land-use changes can overcome carbon savings from biofuels in Brazil. Proceedings of the National Academy of Sciences, 107:3388-3393.
Lawrence, D. M., K. W. Oleson, M. G. Flanner, P. E. Thornton, S. C. Swenson, P. J. Lawrence, and S. G. Slater. 2011. Parameterization improvements and functional and structural advances in version 4 of the Community Land Model. Journal of Advances in Modeling Earth Systems. 3(1):27.
Laurence, W. F., and G. B. Williamson. 2001. Positive feedbacks among forest fragmentation, drought, and climate change in the Amazon. Conservation Biology 15(6):1529-1535.
Lazer, D., A. Pentland, L. Adamic, S. Aral, A. L. Barabasi, D. Brewer, N. Christakis, N. Contractor, J. Fowler, M. Gutmann, T. Jebara, G. King, M. Macy, D. Roy, and M. Van Alstyne. 2009. Life in the network: The coming age of computational social science. Science 323(5915):721-723.
Lazrak, E., J. F. Mari, and M. Benot. 2010. Landscape regularity modelling for environmental challenges in agriculture. Landscape Ecology 25(2):169-183.
LePage, C., N. Becu, P. Bommel, and F. Bousquet. 2012. Participatory agent-based simulation for renewable resource management: The role of the Cormas simulation platform to nurture a community of practice. Journal of Artificial Societies and Social Simulation 15(1):10. Available at http://jasss.soc.surrey.ac.uk/15/1/10.html (accessed August 2013).
Lee, H. L. 2004. Incorporating agro-ecologically zoned data into the GTAP framework. Paper presented at the Seventh Annual Conference on Global Economic Analysis, The World Bank, Washington, DC, June.
Lehrbass, B., and J. Wang. 2012. Urban tree cover mapping with relief-corrected aerial imagery and lidar. Photogrammetric Engineering and Remote Sensing 78(5):473-484.
Lesschen, J. P., K. Kok, P. H. Verburg, and L. H. Cammeraat. 2007. Identification of vulnerable areas for gully erosion under different scenarios of land abandonment in Southeast Spain. Catena 71(1):110-121.
Letourneau, A., P. H. Verburg, and E. Stehfest. 2012. A land-use systems approach to represent landuse dynamics at continental and global scales. Environmental Modelling & Software 33:61-79, doi:10.1016/j.envsoft.2012.01.007.
Lewis, D. 2010. An economic framework for forecasting land-use and ecosystem change. Resource and Energy Economics 32:98-116.
Lewis, D., and A. Plantinga. 2007. Policies for habitat fragmentation: Combining econometrics with GIS-based landscape simulations. Land Economics 83:109-127.
Lewis, D., B. Provencher, and V. Butsic. 2009. The dynamic effects of open-space conservation policies on residential development density. Journal of Environmental Economics and Management 57:239-252.
Lewis, D., A. Plantinga, E. Nelson, and S. Polasky. 2011. The efficiency of voluntary incentive policies for preventing biodiversity loss. Resource and Energy Economics 33:192-211.
Li, X., and A. G. O. Yeh. 2002. Neural-network-based cellular automata for simulating multiple land use changes using GIS. International Journal of Geographical Information Science. 16(4):323-343.
Li, D., X. Li, X. P. Liu, Y. M. Chen, S. Y. Li, K. Liu, J. G. Qiao, Y. Z. Zheng, Y. H. Zhang, and C. H. Lao. 2012. GPU-CA model for large-scale land-use change simulation. Chinese Science Bulletin 57(19):2442-2452.
Ligmann-Zielinska, A., and P. Jankowski. 2008. A framework for sensitivity analysis in spatial multiple criteria evaluation. Geographic Information Science 5266:217-233.
Ligmann-Zielinska, A., and L. Sun. 2010. Applying time-dependent variance-based global sensitivity analysis to represent the dynamics of an agent-based model of land use change. International Journal of Geographical Information Science 24(12):1829-1850.
Lin, Y. P., H. J. Chu, C. F. Wu, and P. H. Verburg. 2010. Predictive ability of logistic regression, auto-logistic regression and neural network models in empirical land-use change modeling: A case study. International Journal of Geographical Information Science 25(1):65-87, doi:10.1080/13658811003752332.
Liu, J., T. Dietz, S. R. Carpenter, M. Alberti, C. Folke, E. Moran, A. N. Pell, P. Deadman, T. Kratz, J. Lubchenco, E. Ostrom, Z. Ouyang, W. Provencher, C. L. Redman, S. H. Schneider, and W. W. Taylor. 2007. Complexity of coupled human and natural systems. Science 317(5844):1513-1516.
Lobo, J. M. 2008. More complex distribution models or more representative data? Biodiversity Informatics 5:14-19.
Lubowski, R., A. Plantinga, and R. Stavins. 2006. Land use change and carbon sinks: Estimation of the carbon sequestration supply function. Journal of Environmental Economics and Management 51:135-152.
LUCC (Land-Use and Land-Cover Change). 2002. Agent-Based Models of Land-Use and Land-Cover Change: Report and Review of an International Workshop, Irvine, California, USA, October 4-7, 2001, ed. D. C. Parker, T. Berger, and S. M. Manson. LUCC Report Series No. 6. Bloomington, IN: LUCC International Program Office.
Lunetta, R. S., J. G. Lyon, B. Guindon, and C. D. Elvidge. 1998. North American landscape characterization dataset development and data fusion issues. Photogrammetric Engineering and Remote Sensing 64:821-828.
Magliocca, N. R., E. Safirova, V. McConnell, and M. Walls. 2011. An economic agent-based model of coupled housing and land markets (CHALMS). Computers, Environment, and Urban Systems 35(3):183-191.
Manson, S. M. 2006. Bounded rationality in agent-based models: Experiments with evolutionary programs. International Journal of Geographical Information Science 20:991-1012.
Manson, S. M., and T. Evans. 2007. Agent-based modeling of deforestation in southern Yucatán, Mexico, and reforestation in the Midwest United States. Proceedings of the National Academy of Sciences 104(52):20678-20683.
Maringanti, C., I. Chaubey, and J. Popp. 2009. Development of a multi-objective optimization tool for the selection and placement of best management practices for nonpoint source pollution control. Water Resources Research 45(6): W06406.
Matthews, R. B., N. G. Gilbert, A. Roach, J. G. Polhill, and N. M. Gotts. 2007. Agent-based land-use models: A review of applications. Landscape Ecology 22:1447-1459.
Maxwell, S. K. and K. M. Sylvester. 2012. Identification of “ever-cropped” land (1984–2010) using Landsat annual maximum NDVI image composites: Southwestern Kansas case study. Remote Sensing of Environment 121:186-195.
McCarl, B. A., and U. A. Schneider. 2001. Greenhouse gas mitigation in U.S. agriculture and forestry. Science 294:2481-2482.
McDonald, R. I., and D. L. Urban. 2006. Spatially varying rules of landscape change: Lessons from a case study. Landscape and Urban Planning 74(1):7-20.
McGarigal, K., S.A. Cushman, and E. Ene. 2012. FRAGSTATS v4: Spatial Pattern Analysis Program for Categorical and Continuous Maps. Computer software program produced by the authors at the University of Massachusetts, Amherst. Available at the following web site: http://www.umass.edu/landeco/research/fragstats/fragstats.html
Meyfroidt, P. 2013. Environmental cognitions, land change, and social–ecological feedbacks: An overview. Journal of Land Use Science 8(3):341-367, doi:10.1080/1747423X.2012.667452.
Miller, H. 2010. The data avalanche is here. Shouldn’t we be digging? Journal of Regional Science 50(1):181-201.
Millington, J. D., G.L. Perry, and R. Romero-Calcerrada. 2007. Regression techniques for examining land use/cover change: A case study of a Mediterranean landscape. Ecosystems 10(4): 562-578. Morsdorf, F., E. Meier, B. Kötz, K. I. Itten, M. Dobbertin, and B. Allgöwer. 2004. LIDAR-based geometric reconstruction of boreal type forest stands at single tree level for forest and wildland fire management. Remote Sensing of Environment 92(3):353-362.
Moss, R. H., J. A. Edmonds, K. A. Hibbard, M. R. Manning, S. K. Rose, D. P. van Vuuren, T. R. Carter, S. Emori, M. Kainuma, T. Kram, G. A. Meehl, J. F. B. Mitchell, N. Nakicenovic, K. Riahi, S. J. Smith, R. J. Stouffer, A. M. Thomson, J. P. Weyant, and T. J. Wilbanks. 2010. The next generation of scenarios for climate change research and assessment. Nature 463:747-756.
Muller, M. R., and J. Middleton. 1994. A Markov model of land-use change dynamics in the Niagara Region, Ontario, Canada. Landscape Ecology 9(2):151-157.
Mutlu, M., S. C. Popescu, C. Stripling, and T. Spencer. 2008. Mapping surface fuel models using lidar and multispectral data fusion for fire behavior. Remote Sensing of Environment 112(1):274-285.
Nelson, E., S. Polasky, D. Lewis, A. Plantinga, E. Lonsdorf, D. White, D. Bael, and J. Lawler. 2008. Efficiency of incentives to jointly increase carbon sequestration and species conservation on a landscape. Proceedings of the National Academy of Sciences of the United States of America 105(28):9471-9476.
Nelson, E., G. Mendoza, J. Regetz, S. Polasky, H. Tallis, D. R. Cameron, K. M. A. Chan, G. C. Daily, J. Goldstein, P. M. Kareiva, E. Lonsdorf, R. Naidoo, T. H. Ricketts, and M. R. Shaw. 2009. Modeling multiple ecosystem services, biodiversity conservation, commodity production, and tradeoffs at landscape scales. Frontiers in Ecology and Environment 7(1):4-11.
Nelson, G. C., and J. Geoghegan. 2002. Deforestation and land use change: Sparse data environments. Agricultural Economics 27(3):201-216.
Newburn, D., and P. Berck. 2011. Exurban development. Journal of Environmental Economics and Management 62:323-336.
NRC (National Research Council). 2001. Grand Challenges in Environmental Sciences. Washington, DC: The National Academies Press.
NRC. 2003. Using Linking Remote Sensing in State and Local Government: Information for Management and Decision Making. Washington, DC: The National Academies Press.
NRC. 2007. National Land Parcel Data: A Vision for the Future. Washington, DC: The National Academies Press.
NRC. 2008. Earth Observation from Space: The First 50 Years of Scientific Achievements. Washington, DC: The National Academies Press.
NRC. 2010a. Limiting the Magnitude of Future Climate Change. Washington, DC: The National Academies Press.
NRC. 2010b. Adapting to the Impacts of Climate Change. Washington, DC: The National Academies Press.
NRC. 2010c. Understanding the Changing Planet: Strategic Directions for the Geographical Sciences. Washington, DC: The National Academies Press.
NRC. 2011a. America’s Climate Choices. Washington, DC: The National Academies Press.
NRC. 2011b. Advancing the Science of Climate Change. Washington, DC: The National Academies Press.
Overmars, K. P., P. H. Verburg, and T. Veldkamp. 2007. Comparison of a deductive and inductive approach to specify land suitability in a spatially explicit land use model. Land Use Policy 24(3):584-599.
Paavalo, S. 2004. Abduction as a logic and methodology of discovery: The importance of strategy. Foundations of Science 9(3):267-283.
Parker, D. C., S. M. Manson, M. A. Janssen, M. J. Hoffman, and P. Deadman. 2003. Multi-agent systems models for the simulation of land-use and land-cover change: A review. Annals of the Association of American Geographers 93(2):314-337.
Parker, D. C., D. G. Brown, J. G. Polhill, P. J. Deadman, and S. M. Manson. 2008. Illustrating a new “conceptual design pattern” for agent-based models of land use via five case studies—the MR POTATOHEAD framework. Pp. 23-51 in Agent-Based Modelling in Natural Resource Management, ed. A. L. Paredes and C. H. Iglesias. Valladolid, Spain: Universidad de Valladolid.
Pasher, J., and D. J. King. 2010. Multivariate forest structure modelling and mapping using high resolution airborne imagery and topographic information. Remote Sensing of Environment 114(8):1718-1732.
Patel, N., D. Chittamuru, A. Jain, P. Dave, T. S. Parikh. 2010. Avaaj Otalo: A Field Study of an Interactive Voice Forum for Small Farmers in Rural India. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems p33-742.
Pfaff, A., J. Robalino, R. Walker, S. Aldrich, M. Caldas, E. Reis, and K. Kirby. 2007. Road investments, spatial spillovers, and deforestation in the Brazilian Amazon. Journal of Regional Science. 47(1):109-123.
Pielke, R. A. 2005. Land use and climate change. Science 310(5754):1625-1626.
Pijanowski, B. C., D. G. Brown, B. A. Shellito, and G. A. Manik. 2002. Using neural networks and GIS to forecast land use changes: A land transformation model. Computers, Environment and Urban Systems 26:553-575.
Pijanowski, B., N. Moore, D. Mauree, and D. Niyogi. 2011. Evaluating Error Propagation in Coupled Land—Atmosphere Models. Earth Interactions 15:1-25.
Pijanowski, B., S. Pithadia, K. Alexandridis, and B. Shellito. 2005. Forecasting large-scale land use change with GIS and neural networks. International Journal of Geographic Information Science. 19(2): 197-215.
Pijanowski, B. C., S. Pithadia, B. A. Shellito, and K. Alexandridis. 2005. Calibrating a neural network-based urban change model for two metropolitan areas of the upper midwest of the United States. International Journal of Geographical Information Science 19(2).
Plantinga, A., and D. Lewis. 2013. Landscape simulations with econometric-based land-use models. In The Oxford Handbook of Land Economics, ed. J. M. Duke and J. Wu. New York: Oxford University Press.
Polasky, S., and K. Segerson. 2009. Integrating ecology and economics in the study of ecosystem services: Some lessons learned. Annual Review of Resource Economics 1:409-434.
Polasky, S., E. Nelson, J. Camm, B. Csuti, P. Fackler, E. Lonsdorf, C. Montgomery, D. White, J. Arthur, B. Garber-Yonts, R. Haight, J. Kagan, A. Starfield, and C. Tobalske. 2008. Where to put things: Spatial land management to sustain biodiversity and economic returns. Biological Conservation 141(6):1505-1524.
Pontius, R. G., Jr., and M. Millones. 2011. Death to Kappa: Birth of quantity disagreement and allocation disagreement for accuracy assessment. International Journal of Remote Sensing 32(15):4407-4429.
Pontius, R. G., Jr., J. D. Cornell, and C. A. S. Hall. 2001. Modeling the spatial pattern of land-use change with GEOMOD2: Application and validation for Costa Rica. Agriculture, Ecosystems and Environment 85(1/3).
Pontius, R. G., Jr., W. Boersma, J. C. Castella, K. H. Clarke, T. Nijs, C. Dietzel, Z. Duan, E. Fotsing, N. Goldstein, K. Kok, E. Koomen, C. D. Lippitt, W. McConnell, A. M. Sood, B. Pijanowski, S. Pithadia, S. Sweeney, T. N. Trung, A. T. Veldkamp, and P. H. Verburg. 2008. Comparing the input, output, and validation maps for several models of land change. Annals of Regional Science 42(1):11-47.
Pontius, R. G., S. Peethambaram, and J. C. Castella. 2011. Comparison of three maps at multiple resolutions: A case study of land change simulation in Cho Don District, Vietnam. Annals of the Association of American Geographers 101(1):45-62.
Rabin, M. 1998. Psychology and economics. Journal of Economic Literature 36(1):11-46.
Ray, D. K., J. Duckles, and B. C. Pijanowski. 2010. The impact of future land use scenarios on runoff volumes in the Muskegon River Watershed. Environmental Management. 46(3):351-366.
Ray, D. K., and B. C. Pijanowski. 2010. A backcast land use change model to generate past land use maps: Application and validation at the Muskegon River watershed of Michigan, USA. Journal of Land Use Science 5(1):1-29.
Reid, W. V., D. Chen, L. Goldfarn, H. Hackman, Y. T. Lee, K. Mokhele, E. Ostrom, K. Raivio, J. Rockstrom, H. J. Schellnhuber, and A. Whyte. 2010. Earth system science for global sustainability: Grand challenges. Science 330(6006):916-917.
Robinson, D. T., D. G. Brown, D. C. Parker, P. Schreinemachers, M. A. Janssen, M. Huigen, H. Wittmer, N. Gotts, P. Promburom, E. Irwin, T. Berger, F. Gatzweiler, and C. Barnaud. 2007. Comparison of empirical methods for building agent-based models of land and resource use. Journal of Land Use Science 2(1):31-55.
Rodell, M., P. R. Houser, U. E. A. Jambor, J. Gottschalck, K. Mitchell, C. J. Meng, and D. Toll. 2004. The global land data assimilation system. Bulletin of the American Meteorological Society. 85(3):381-394.
Roetter, R.P., C. T. Hoanh, A. G. Laborte, H. Van Keulen, M. K. Van Ittersum, C. Dreiser, C. A. Van Diepen, N. De Ridder, and H. H. Van Laar. 2005. Integration of Systems Network (SysNet) tools for regional land use scenario analysis in Asia. Environmental Modelling & Software 20:291-307.
Ronneberger, K., R. S. J. Tol, and U. A. Schneider. 2005. KLUM: A Simple Model of Global Agricultural Land Use as a Coupling Tool of Economy and Vegetation. Working Paper FNU-65, Hamburg University.
Ronneberger, K., M. Berrittella, F. Bosello, and R. S. J. Tol. 2009. KLUM@GTAP: Spatially-explicit, biophysical land use in a computable general equilibrium model. In Economic Analysis of Land Use in Global Climate Change Policy, ed. T. W. Hertel, S. Rose, and R. S. J. Tol. Abingdon: Routledge.
Rosegrant, M. W., X. Cai, and S. A. Cline. 2002. World Water and Food to 2025: Dealing with Scarcity. Washington, DC: International Food Policy Research Institute.
Rounsevell, M. D. A., B. Pedroli, K. H. Erb, M. Gramberger, A. G. Busck, H. Haberl, S. Kristensen, T. Kuemmerle, S. Lavorel, M. Lindner, H. Lotze-Campen, M. J. Metzger, D. Murray-Rust, A. Popp, M. Pérez-Soba, A. Reenberg, A. Vadineanu, P. H. Verburg, and B. Wolfslehner. 2012. Challenges for land system science. Land Use Policy 29(4):899-910.
Rudel, T. K. 1998. Is there a forest transition? Deforestation, reforestation, and development. Rural Sociology 63(4):533-552.
Rudel, T. K. 2005. Tropical Forests: Regional Paths of Destruction and Regeneration in the Late Twentieth Century. New York: Columbia University Press.
Sands, R. D., and J. A. Edmonds. 2005. Climate change impacts for the conterminous USA: An integrated assessment, Part 7. Economic analysis of field crops and land use with climate change. Climatic Change 69(1):127-150.
Sands, R. and M. K. Kim. 2009. Modelling the competitions: Methods and applications to climate policy. Chapter 7 in Economic Analysis of Land Use in Global Climate Change Policy, ed. T. W. Hertel, S. Rose, and R. S. J. Tol. London: Routledge. p348.
Sands, R. D., and M. Leimbach. 2003. Modeling agriculture and land use in an integrated assessment framework. Climatic Change 56:185-210.
Sangermano, F., J. R. Eastman, and H. Zhu. 2010. Similarity weighted instance-based learning for the generation of transition potentials in land use change modeling. Transactions in GIS 14(5):569-580.
Schaldach, R., J. Alcamo, J. Koch, C. Kölking, D. M. Lapola, J. Schnngel, J. A. Priess. 2011. An integrated approach to modelling land-use change on continental and global scales. Environmental Modelling & Software 26(8):1041-1051.
Schaldach, R, and J. A. Priess. 2008. Integrated models of the land system: A review of modeling approaches on the regional to global scale. Living Reviews in Landscape Research 2:1-34.
Schmit, C., and M. D. A. Rounsevell. 2006. Are agricultural land use patterns influenced by farmer imitation? Agriculture, Ecosystems & Environment 115(1-4):113-127.
Schneider, U. A. 2000. Agricultural Sector Analysis on Greenhouse Gas Emission Mitigation in the U.S. Ph.D. dissertation. Department of Agricultural Economics, Texas A&M University.
Schrojenstein Lantman, J., P. H. Verburg, A. Bregt, and S. Geertman. 2011. Core principles and concepts in land-use modelling: A literature review. Chapter 3 in Land-Use Modelling in Planning Practice, ed. E. Koomen and J. Borsboom-van Beurden. New York: Springer.
Schwartzman, Y. and T. S. Parikh. 2007. Using CAM.]equipped Mobile Phones for Procurement and Quality Control at a Rural Coffee Cooperative. MobEA V, Mobile Web in the Developing World, May 8th, 2007, Banff, Canada.
Seppelt, R., S. Lautenbach, and M. Volk. 2013. Identifying trade-offs between ecosystem services, land use, and biodiversity: A plea for combining scenario analysis and optimization on different spatial scales. Current Opinion in Environmental Sustainability in press.
Seppelt, R., and A. Voinov. 2002. Optimization methodology for land use patterns using spatially explicit landscape models. Ecological Modelling 151(2-3):125-142.
Seto, K. C., A. Reenberg, C. G. Boone, M. Fragkias, D. Haase, T. Langanke, P. Marcotullio, D. K. Munroe, B. Olah, and D. Simon. 2012. Urban land teleconnections and sustainability. Proceedings of the National Academy of Sciences of the United States of America 109(20):7687-7692.
Shields, C. A., L. E. Band, N. Law, P. M. Groffman, S. S. Kaushal, K. Savvas, and K. T. Belt. 2008.
Streamflow distribution of non–point source nitrogen export from urban-rural catchments in the Chesapeake Bay watershed. Water Resources Research. 44(9): W09416.
Sinclair, R. O. B. E. 1967. Von Thunen and urban sprawl. Annals of the Association of American Geographers 57(1):72-87.
Smajgl, A., D. G. Brown, D. Valbuena, and M. G. A. Huigen. 2011. Empirical characterisation of agent behaviours in socioecological systems. Environmental Modelling and Software 26(7):837-844.
Smith, T. R., G. Janée, J. Frew, and A. Coleman. 2001. The Alexandria Digital Earth Prototype System. Proceedings of the 1st ACM/IEEE-CS joint conference on Digital libraries 118-119.
Smith, M., J. Sanchirico, and J. Wilen. 2009. The economics of spatial dynamic processes: Applications to renewable resources. Journal of Environmental Economics and Management 57:104-121.
Soares-Filho, B. S., D. C. Nepstad, L. M. Curran, G. C. Cerqueira, R. A. Garcia, C. A. Ramos, E. Voll, A. McDonald, P. Lefebvre, and P. Schlesinger. 2006. Modeling conservation in the Amazon basin. Nature 440(7083):520-523.
Soares-Filho, B. S., P. Moutinho, D. Nepstad, A. Anderson, H. Rodrigues, R. Garcia, L. Dietzsch, F. Merry, M. Bowman, L. Hissa, R. Silvestrini, and C. Maretti. 2010. Role of Brazilian Amazon protected areas in climate change mitigation. Proceedings of the National Academy of Sciences of the United States of America 107(24):10821-10826.
Sohl, T. L., B. M. Sleeter, Z. Zhu, K. L. Sayler, S. Bennett, M. Bouchard, R. Reker, T. Hawbaker, A. Wein, S. Liu, R. Kanengieter, and W. Acevedo. 2012. A land-use and land-cover modeling strategy to support a national assessment of carbon stocks and fluxes. Applied Geography 34:111-124.
Sohn, G., and I. Dowman. 2007. Data fusion of high-resolution satellite imagery and LiDAR data for automatic building extraction. ISPRS Journal of Photogrammetry and Remote Sensing 62(1):43-63.
Sohngen, B., R. Mendelsohn, and R. Sedjo. 1999. Forest management, conservation, and global timber markets. American Journal of Agricultural Economics 81:1-13.
Sokolov, A. P., C. A. Schlosser, S. Dutkiewicz, S. Paltsev, D. W. Kicklighter, H. D. Jacoby, R. G. Prinn, C. E. Forest, J. Reilly, C. Wang, B. Felzer, M. C. Sarofim, J. Scott, P. H. Stone, J. M. Melilo, and J. Cohen. 2005. The MIT Integrated Global System Model (IGSM) Version 2: Model Description and Baseline Evaluation. MIT Joint Program on the Science and Policy of Global Change Report No. 124, Cambridge, Mass.
Southworth, J., D. Munroe, and H. Nagendra. 2004. Land cover change and landscape fragmentation—comparing the utility of continuous and discrete analyses for a western Honduras region. Agriculture, Ecosystems & Environment 101(2-3):185-205.
Stewart, T. J., R. Janssen, and M. van Herwijnen. 2004. A genetic algorithm approach to multiobjective land use planning. Computers and Operations Research 31(14):2293-2313.
Stueve, K. M., I. W. Housman, P. L. Zimmerman, M. D. Nelson, J. B. Webb, C. H. Perry, R. A. Chastain, D. D. Gormanson, C. Huang, S. P. Healey, and W. B. Cohen. 2011. Snow-covered Landsat time series stacks improve automated disturbance mapping accuracy in forested landscapes. Remote Sensing of Environment 115(12):3203-3219.
Sun, W., V. Heidt, P. Gong, and G. Xu. 2003. Information fusion for rural land-use classification with high-resolution satellite imagery. Transactions on Geoscience and Remote Sensing 41(4):883-890.
Sylvester, K.M., D. G. Brown, G. Deane, and R. Kornak. 2013. Land transitions in the American Plains: Multilevel modeling of drivers of grassland conversion (1950 to 2000). Agriculture Ecosystems and Environment. 168:7-15.
Syphard, A. D., K. C. Clarke, and J. Franklin. 2005. Using a cellular automaton model to forecast the effects of alternate scenarios of urban growth on habitat fragmentation in southern California. Ecological Complexity 2:185-203.
Syphard, A. D., K. C. Clarke, J. Franklin, H. M. Regand, and M. Mcginnis. 2011. Forecasts of habitat loss and fragmentation due to urban growth are sensitive to source of input data. Journal of Environmental Management 92(7):1882-1893, doi:10.1016/j.jenvman.2011.03.014.
Tang, W. and D. A. Bennett. 2011. Parallel agent-based modeling of spatial opinion diffusion accelerated using Graphics Processing Units. Ecological Modelling 222: 3605-3615.
Tang, Z., B. A. Engel, K. J. Lim, B. C. Pijanowski, and J. Harbor, J. 2005. Minimizing the impact of urbanization on long term runoff. Journal of the American Water Resources Association. 41(6):1347-1359.
Tayyebi, A., B. K. Pekin, B. C. Pijanowski, J. D. Plourde, J. S. Doucette, and D. Braun. 2012. Hierarchical modeling of urban growth across the conterminous USA: Developing meso-scale quantity drivers for the Land Transformation Model. Journal of Land Use Science, doi:10.108 0/1747423X.2012.675364.
Thapa, R. B., and Y. Murayama. 2011. Urban growth modeling of Kathmandu metropolitan region, Nepal. Computers, Environment and Urban Systems 35(1):25-34.
Thompson, J.R., D.R. Foster, R.M. Scheller, D. Kittredge. 2011. The influence of land use and climate change on forest biomass and composition in Massachusetts, USA. Ecological Applications. 21:2425-2444.
Tobler, W. R. 1970. A computer movie simulating urban growth in the Detroit region. Economic Geography. 46:234–240.
Tobler, W. 1979. Cellular geography. Pp. 379-386 in Philosophy in Geography, ed. S. Gale and G. Olsson. Dordrecht: Reidel.
Torrens, P. M., and I. Benenson. 2005. Geographic automata systems. International Journal of Geographical Information Science 19(4):385-412.
Towe, C., and L. Lynch. 2013. Quasi-experimental methods. In The Oxford Handbook of Land Economics, edited by J. M. Duke and J. Wu. New York: Oxford University Press.
Towe, C., C. Nickerson, and N. Bockstael. 2008. An empirical examination of the timing of land conversions in the presence of farmland preservation programs. American Journal of Agricultural Economics 90:613-626.
Townsend, A. C., and D. A. Bruce. 2010. The use of night-time lights satellite imagery as a measure of Australia’s regional electricity consumption and population distribution. International Journal of Remote Sensing 31(16):4459-4480.
Turner, B. L., and A. M. Ali. 1996. Induced intensification: Agricultural change in Bangladesh with implications for Malthus and Boserup. Proceedings of the National Academy of Sciences of the United States of America 93(25):14984-14991.
Turner, B. L., and M. Fischer-Kowalski. 2010. Ester Boserup: An interdisciplinary visionary relevant for sustainability. Proceedings of the National Academy of Sciences of the United States of America 107(51):21963-21965.
Turner, B. L., E. F. Lambin, and A. Reenberg. 2007. The emergence of land change science for global environmental change and sustainability. Proceedings of the National Academy of Sciences 104(52):20666-20671.
Turner, B. L., D. Skole, S. Sanderson, G. Fischer, L. Fresco, and R. Leemans. 1995. Land Use and Land-Cover Change Science/Research Plan. Joint publication of the International Geosphere-Biosphere Programme (Report No. 35) and the Human Dimensions of Global Environmental Change Programme (Report No. 7). Stockholm: Royal Swedish Academy of Sciences.
Turner, M. 1987. Spatial simulation of landscape changes in Georgia: A comparison of 3 transition models. Landscape Ecology 1(1):29-36.
UNEP (United Nations Environment Programme). 2007. Global Environment Outlook 4: Environment for Development. Nairobi: UNEP.
Uthes, S., K. Fricke, H. König, P. Zander, M. Van Ittersum, S. Sieber, K. Helming, A. Piorr, and K. Mnller. 2010. Policy relevance of three integrated assessment tools—A comparison with specific reference to agricultural policies. Ecological Modelling 221(18):2136-2152.
Vaccari, L., P. Shvaiko, and M. Marchese. 2009. A geo-service semantic integration in spatial data infrastructures. International Journal of Spatial Data Infrastructures 4:24-51.
Valbuena, D., P. H. Verburg, A. K. Bregt, and A. Ligtenberg. 2010. An agent-based approach to model land-use change at a regional scale. Landscape Ecology 25(2):185-199.
Van Berkel, D., and P. Verburg. 2012. Combining exploratory scenarios and participatory backcasting: Using an agent-based model in participatory policy design for a multi-functional landscape. Landscape Ecology 27(5):641-658.
van Delden, H., P. Luja, and G. Engelen. 2007. Integration of multi-scale dynamic spatial models of socio-economic and physical processes for river basin management. Environmental Modelling & Software 22(2):223-238.
van Delden, H., R. Seppelt, R. White, and A. J. Jakeman. 2011. A methodology for the design and development of integrated models for policy support. Environmental Modelling & Software 26(3):266-279.
Van der Werf, E., and S. Peterson. 2009. Modeling Linkages Between Climate Policy and Land Use: An Overview. Kiel Working Paper No. 1323, Kiel, Germany: Kiel Institute for the World Economy.
van Tongeren, F., H. van Meijl, and Y. Surry. 2001. Global models applied to agricultural and trade policies: A review and assessment. Agricultural Economics 26(2001):149-172.
Veldkamp, A., and L. O. Fresco. 1996. CLUE-CR: An integrated multi-scale model to simulate land use change scenarios in Costa Rica. Ecological Modelling 91(1-3):231-248.
Veldkamp, A., P. H. Verburg, K. Kok, G. H. J. de Koning, J. Priess, A. R. Bergsma. 2001. The need for scale sensitive approaches in spatially explicit land use change modeling. Environmental Modeling and Assessment 6(2):111-121.
Verburg, P. H., and K. Overmars. 2009. Combining top-down and bottom-up dynamics in land use modeling: Exploring the future of abandoned farmlands in Europe with the Dyna-CLUE model. Landscape Ecology 24(9):1167-1181.
Verburg, P. H., W. Soepboer, R. Limpiada, M. V. O. Espaldon, M. Sharifa, and A. Veldkamp. 2002. Land use change modelling at the regional scale: The CLUE-S model. Environmental Management 30(3):391-405.
Verburg, P. H., J. Ritsema van Eck, T. de Nijs, M. J. Dijst, and P. Schot. 2004a. Determinants of land use change patterns in the Netherlands. Environment and Planning B 31:125-150.
Verburg, P. H., T. C. M. de Nijs, J. Ritsema van Eck, H. Visser, and K. de Jong. 2004b. A method to analyse neighbourhood characteristics of land use patterns. Computers, Environment and Urban Systems 28(6):667-690.
Verburg, P. H., K. P. Overmars, M. G. A. Huigen, W. T. de Groot, and A. Veldkamp. 2006. Analysis of the effects of land use change on protected areas in the Philippines. Applied Geography 26(2):153-173.
Verburg, P. H., B. Eickhout, and H. van Meijl. 2008. A multi-scale, multi-model approach for analyzing the future dynamics of European land use. Annals of Regional Science 42(1):57-77.
Verburg, P. H., E. C. Ellis, and A. Letourneau. 2011. A global assessment of market accessibility and market influence for global environmental change studies. Environmental Research Letters 6(3):034019.
Verdung, E. 1997. Public Policy and Program Evaluation. New Brunswick, N.J.: Rutgers University Press.
Verbesselt, J., R. Hyndman, G. Newnham, and D. Culvenor. 2010. Detecting trend and seasonal changes in satellite image time series. Remote Sensing of Environment 114(1):106-115.
von Thünen, J. H. 1966. Der Isolierte Staat in Beziehung der Landwirtschaft und Nationalökonomie, ed. P. Hall. Oxford: Pergamon.
Waddell, P. 2002. UrbanSim: Modeling urban development for land use, transportation and environmental planning. Journal of the American Planning Association 8(3):297-314.
Waddell, P., A. Borning, M. North, N. Freier, M. Becke, and G. Ulfarsson. 2003. Microsimulation of urban development and location choices: Design and implementation of UrbanSim. Networks and Spatial Economics 3(1):43-67.
Waddell, P., H. S. Sevcikova, D. Socha, E. J. Miller, and K. Nagel. 2005. OPUS: An International Collaboration to Develop an Open Platform for Urban Simulation. Paper presented at 9th Conference on Computers in Urban Planning and Urban Management (CUPUM), June, London.
Waddell, P., C. Bhat, N. Eluru, L. Wang, and R. Pendyala. 2007. Modeling the interdependence in household residence and workplace choices. Transportation Research Record 2003:84-92.
Walker, R. and W. D. Solecki. 2004. Theorizing land-cover and land-use change: The case of the Florida Everglades and its degradation. Annals of the Association of American Geographers 94(2):311-328.
Walsh, R. 2007. Endogenous open space amenities in a locational equilibrium. Journal of Urban Economics 61:319-344.
Walsh, S. J., T. P. Evans, W. F. Welsh, B. Entwisle, and R. R. Rindfuss. 1999. Scale-dependent relationships between population and environment in northeastern Thailand. Photogrammetric Engineering & Remote Sensing 65(1).
Walton, J. T., D. J. Nowak, and E. J. Greenfield. 2008. Assessing urban forest canopy cover using airborne or satellite imagery. Arboriculture and Urban Forestry 34(6):334-340.
Ward, D. P., A. T. Murray, and S. R. Phinn. 2003. Integrating spatial optimization and cellular automata for evaluating urban change. The Annals of Regional Science. 37(1):131-148.
Wassenaar, T., P. Gerber, M. Rosales, M. Ibrahim, P. H. Verburg, and H. Steinfeld. 2007. Predicting land use changes in the Neotropics: The geography of pasture expansion into forest. Global Environmental Change 17(1):86-104.
Watson, R. T., I. R. Noble, B. Bolin, N. H. Ravindranath, 2000. Land Use, Land-use Change, and Forestry: A Special Report of the Intergovernmental Panel on Climate Change. Cambridge: Cambridge University Press.
Watts, M. E., I. R. Ball, R. S. Stewart, C. J. Klein, K. Wilson, C. Steinback, R. Lourival, L. Kircher, and H. P. Possingham. 2009. Marxan with Zones: Software for optimal conservation based landand sea-use zoning. Environmental Modelling & Software 24(12):1513-1521.
White, R., and G. Engelen. 2000. High-resolution integrated modelling of the spatial dynamics of urban and regional systems. Computers, Environment and Urban Systems 24(5):383-400.
White, R., G. Engelen, and I. Uijee. 1997. The use of constrained cellular automata for high-resolution modelling of urban land-use dynamics. Environment and Planning B 24(3):323-343.
Wiley, M. J., D. W. Hyndman, B. C. Pijanowski, A. D. Kendall, C. Riseng, E. S. Rutherford, S. T. Cheng, M. L. Carlson, J. A. Tyler, R. J. Stevenson, P. J. Steen, P. L. Richards, P. W. Seelbach, J. M. Koches, and R. R. Rediske. 2010. A multi-modeling approach to evaluating climate and land use change impacts in a Great Lakes River Basin. Hydrobiologia 657:243-262.
Wilson, K. A., E. Meijaard, S. Drummond, H. S. Grantham, L. Boitani, G. Catullo, L. Christie, R. Dennis, I. Dutton, A. Falcucci, L. Maiorano, H. P. Possingham, C. Rondinini, W. R. Turner, O. Venter, and M. Watts. 2010. Conserving biodiversity in production landscapes. Ecological Applications 20(6):1721-1732.
Wing, I. S. 2004. Computable General Equilibrium Models and Their Use in Economy-wide Policy Analysis. MIT Joint Program on the Science and Policy of Global Change, Technical Note No. 6, September.
Wong, G. Y., and J. R. R. Alavalapati. 2003. The land-use effects of a forest carbon policy in the US.
Forest Policy and Economics 5:249-263.
Wooldridge, M. 2002. An Introduction to MultiAgent Systems. New York: John Wiley & Sons, 366 pp.
Wrenn, D., and E. G. Irwin. 2012. Time Is Money: An Empirical Examination of the Dynamic Effects of Regulatory Uncertainty on Residential Subdivision Development. Paper presented at the 2012 Association and Environmental and Resource Economists Annual Meeting, Ashville, SC, June.
Wright, D. J., and S. Wang. 2011. The emergence of spatial cyberinfrastructure. Proceedings of the National Academy of Sciences of the United States of America 108(14):5488-5491.
Wu, J., and A. Plantinga. 2003. The influence of public open space on urban spatial structure. Journal of Environmental Economics and Management 46:288-309.
Wu, J., R. Adams, C. Kling, and T. Tanaka. 2004. From micro-level decisions to landscape changes: An assessment of agricultural conservation policies. American Journal of Agricultural Economics 86(1):26-41.
Würtenberger, L., T. Koellner, and C. R. Binder. 2006. Virtual land use and agricultural trade: Estimating environmental and socio-economic impacts. Ecological Economics 57(4):679-697.
Zeigler, B. P., H. Praehofer, and T. G. Kim. 2000. Theory of Modeling and Simulation: Integrating Discrete Event and Continuous Complex Dynamic Systems, Second Edition. New York: Academic Press.
Zellner, M. L. 2008. Embracing complexity and uncertainty: The potential of agent-based modeling for environmental planning and policy. Planning Theory and Practice 9(4):437-457.
Zhao, N., T. Ghosh, and E. L. Samson. 2012. Mapping spatio-temporal changes of Chinese electric power consumption using night-time imagery. International Journal of Remote Sensing 33(20):6304-6320.
Zhu, T., C. Ringler, and M. W. Rosegrant. 2008. Development and Validation of a Global Hydrology Model for Climate Change Impact Assessment. Working Paper, International Food Policy Research Institute, Washington, DC.
Zhu, Z., and C. E. Woodcock. 2012. Object-based cloud and cloud shadow detection in Landsat imagery. Remote Sensing of Environment 118:83-94.
Zhu, Z., C. E. Woodcock, and P. Olofsson. 2012. Continuous monitoring of forest disturbance using all available Landsat imagery. Remote Sensing of Environment 122:75-91.
Zook, M., M. Graham, T. Shelton, S. Gorman. 2012. Volunteered Geographic Information and Crowdsourcing Disaster Relief: A Case Study of the Haitian Earthquake. World Medical & Health Policy 2:7-33.
Zou, Y., P. M. Torrens, R. G. Ghanem, and I. G. Kevrekidis. 2012. Accelerating agent-based computation of complex urban systems. International Journal of Geographical Information Science 26(10): 1917-1937, doi:10.1080/13658816.2012.669891.