Advancing Land Change Modeling Opportunities and Research Requirements (2014) / Chapter Skim
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References
References
Pages 107-126
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2008. Using neural networks and cellular automata for modelling intra‐urban land‐use dynamics.
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2004. Modeling urban landscape dynamics: A case study in Phoenix.
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A cellular automata-based microeconomic model. Regional Science and Urban Economics 37(5)
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International Jour nal of Geographical Information Science 12(7)
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2007. The Land Change Modeler, a software extension for ArcGIS.
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Agricultural and Resource Economics Review 40(3)
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2012. Influence of carbon mapping and land change mod elling on the prediction of carbon emissions from deforestation.
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International Journal of Geographical Information Science 20:1067-1085.
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2012. Measuring indirect land use change with biofuels: Implications for policy Annual Review of Resource Economics 4:161-184.
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International Journal of Geographical Information Science 25(1)
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International Journal of Geographical Information Science 20:991-1012. Manson, S
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2007. Comparison of a deductive and inductive approach to specify land suitability in a spatially explicit land use model.
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2002. Using neural networks and GIS to forecast land use changes: A land transformation model.
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2010. Similarity weighted instance-based learning for the generation of transition potentials in land use change modeling.
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2002. Optimization methodology for land use patterns using spatially explicit landscape models.
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2007. The emergence of land change science for global environmental change and sustainability.
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2001. The need for scale sensitive approaches in spatially explicit land use change modeling.
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2008. Assessing urban forest canopy cover using airborne or satellite imagery.
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International Journal of Geographical Information Science 26(10)
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