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group_modelling:goodnessoffit [2009/03/27 10:30] – inpeifgigroup_modelling:goodnessoffit [2009/03/27 12:03] – inpeifgi
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 Calibration of cellular automata or agent-based models is not a trivial task as parameters influence is in most cases non-linear and often the number of parameters is high, making comprehensive evaluation of all combinations unfeasible. Simple approaches like by Clarke et al. (1998) generate lots of simulations to be evaluated by the user, they consider interactive visualization as an important tool. Still users may not find the most influential parameter combinations. This task was addressed by Miller (1998) who used several robust optimization algorithms to investigate the parameter space. Calibration of cellular automata or agent-based models is not a trivial task as parameters influence is in most cases non-linear and often the number of parameters is high, making comprehensive evaluation of all combinations unfeasible. Simple approaches like by Clarke et al. (1998) generate lots of simulations to be evaluated by the user, they consider interactive visualization as an important tool. Still users may not find the most influential parameter combinations. This task was addressed by Miller (1998) who used several robust optimization algorithms to investigate the parameter space.
  
-The diversity of LUCC models may require different calibration and validation methods. An overview over current multi-agent models is given by Parker et al. (2003).+The diversity of LUCC models may require different calibration and validation methods. An overview over current models is given by Agarwal et al., whereas Parker et al. (2003) focus on multi-agent models.
  
 =====Topics of the proposed Thesis and Questions to be answered in each work package===== =====Topics of the proposed Thesis and Questions to be answered in each work package=====
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 =====Mobility Measures===== =====Mobility Measures=====
 The topic is at the overlap of the research at INPE (agent-based and cellular automata models of LUCC) and IFGI (statistics, calibration / validation of models). Therefore the theses should take place as sandwich (exchange: PhD 6-12 months, MSc 2-3 months), starting either at INPE or IFGI. The topic is at the overlap of the research at INPE (agent-based and cellular automata models of LUCC) and IFGI (statistics, calibration / validation of models). Therefore the theses should take place as sandwich (exchange: PhD 6-12 months, MSc 2-3 months), starting either at INPE or IFGI.
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 ===== References ===== ===== References =====
 +AGARWAL, CH.; GREEN, G. M.; GROVE, J. M.; EVANS, T. P. & SCHWEIK, CH. M. [[http://hero.geog.psu.edu/archives/AgarwalEtALInPress.pdf | A Review and Assessment of Land-Use Change Models Dynamics of Space, Time, and Human Choice]]. CIPEC Collaborative Report Series No. 1.
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 C. M. ALMEIDA, A. M. V. MONTEIRO, G. CAMARA, B. S. SOARES-FILHO, G. C. CERQUEIRA, C. L.pENNACHIN, M. BATTY. {{http://www.dpi.inpe.br/gilberto/papers/claudia_ijrs.pdf|GIS and remote sensing as tools for the simulation of urban land-use change}} International Journal of Remote Sensing Vol. 26, No. 4, 20 February 2005, 759–774 C. M. ALMEIDA, A. M. V. MONTEIRO, G. CAMARA, B. S. SOARES-FILHO, G. C. CERQUEIRA, C. L.pENNACHIN, M. BATTY. {{http://www.dpi.inpe.br/gilberto/papers/claudia_ijrs.pdf|GIS and remote sensing as tools for the simulation of urban land-use change}} International Journal of Remote Sensing Vol. 26, No. 4, 20 February 2005, 759–774
  
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 JANTZ, C. A.; GOETZ, S. J. {{group_modelling:analysis_of_scale_dependencies_in_an_urban_land-use-change_model.pdf|Analysis of scale dependencies in an urban land-use-change model}}. International Journal of Geographical Information Science. Vol. 19, No. 2, February 2005, 217–241 JANTZ, C. A.; GOETZ, S. J. {{group_modelling:analysis_of_scale_dependencies_in_an_urban_land-use-change_model.pdf|Analysis of scale dependencies in an urban land-use-change model}}. International Journal of Geographical Information Science. Vol. 19, No. 2, February 2005, 217–241
  
-LI, B.-L. 2000. {{http://www.sciencedirect.com/science?_ob=MImg&_imagekey=B6VBS-410MBGV-5-2Y&_cdi=5934&_user=2160112&_orig=browse&_coverDate=07%2F30%2F2000&_sk=998679998&view=c&wchp=dGLzVzz-zSkWA&md5=e2d7b9fac173919b7260d60977366d72&ie=/sdarticle.pdf|Fractal geometry applications in description and analysis of patch patterns and patch dynamics}}. Ecological +LI, B.-L. 2000. {{group_modelling:fractal_geometry_applications_in_description_and_analysis_of_patch_patterns_and_patch_dynamics.pdf|Fractal geometry applications in description and analysis of patch patterns and patch dynamics. }}. Ecological Modelling 132 (1/2): 33–50.
-Modelling 132 (1/2): 33–50.+
  
 MANSON, S. M. {{encontros_e_eventos:inpeifgi2009:agent-based_dynamic_spatial_simulation_of_land-use_cover_change.pdf|Agent-based dynamic spatial simulation of land-use/cover change in the Yucatán peninsula, Mexico}}. 4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4): MANSON, S. M. {{encontros_e_eventos:inpeifgi2009:agent-based_dynamic_spatial_simulation_of_land-use_cover_change.pdf|Agent-based dynamic spatial simulation of land-use/cover change in the Yucatán peninsula, Mexico}}. 4th International Conference on Integrating GIS and Environmental Modeling (GIS/EM4):
 Problems, Prospects and Research Needs. Banff, Alberta, Canada, September 2 - 8, 2000. Problems, Prospects and Research Needs. Banff, Alberta, Canada, September 2 - 8, 2000.
  
-MILLER, J. H. 1998. Active nonlinear tests (ANTs) of complex +MILLER, J. H. 1998. {{group_modelling:active_nonlinear_tests_ants_of_complex_simulation_models.pdf|Active nonlinear tests (ANTs) of complex 
-simulation models. Management Science 44 (6): 820–30.+simulation models}}. Management Science 44 (6): 820–30.
  
 E. MOREIRA, S. COSTA, A. P. AGUIAR, G. CAMARA, T. CARNEIRO Dynamic coupling of multiscale land change models: interactions and feedbacks across regional and local deforestation models in the Brazilian Amazonia, Ecological Modelling (//submitted//). 2009 E. MOREIRA, S. COSTA, A. P. AGUIAR, G. CAMARA, T. CARNEIRO Dynamic coupling of multiscale land change models: interactions and feedbacks across regional and local deforestation models in the Brazilian Amazonia, Ecological Modelling (//submitted//). 2009
  
-PARKER, D. C.; Manson, S. M.; JANSSEN, M. A.; HOFFMANN, M. J. & DEADMAN, P. 2003 {{|Multi-Agent Systems for the Simulation of Land-Use+PARKER, D. C.; Manson, S. M.; JANSSEN, M. A.; HOFFMANN, M. J. & DEADMAN, P. 2003 {{group_modelling:multi-agent_systems_for_the_simulation_of_land-use_and_land-cover_change_a_review.pdf|Multi-Agent Systems for the Simulation of Land-Use
 and Land-Cover Change: A Review}}. Annals of the Association of American Geographers 93 (2): 314–337. and Land-Cover Change: A Review}}. Annals of the Association of American Geographers 93 (2): 314–337.
  
group_modelling/goodnessoffit.txt · Última modificação: 2009/06/09 18:00 por inpeifgi