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start [2020/04/02 13:02]
britaldo
start [2020/11/18 18:25]
hermann
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   * [[tutorial:​varying_parameters_in_a_simulation|Multi-transitions]],​   * [[tutorial:​varying_parameters_in_a_simulation|Multi-transitions]],​
  
-  * Dynamic feedbacks,+  * [[lesson_13|Dynamic feedbacks]],
  
   * [[tutorial:​using_subregions_in_a_simulation_model|Multi-region]],​   * [[tutorial:​using_subregions_in_a_simulation_model|Multi-region]],​
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   * [[tutorial:​heuristic_calibration_of_models_by_using_genetic_algorithm|Genetic Algorithm for model calibration]] ​   * [[tutorial:​heuristic_calibration_of_models_by_using_genetic_algorithm|Genetic Algorithm for model calibration]] ​
  
-  * High performance,​ including 64-bit native version, multiprocessor computing architecture,​ smart handling of large raster datasets +  * [[parallelism_on_dinamica|High performance,​ including 64-bit native version, ​full parallelism using multiprocessor computing architecture,​ smart handling of large raster datasets]] 
 + 
 +  * [[biodinamica|BioDinamica plug-in for analyses of biodiversity,​ biogeography and macroecology]] ​ 
  
 The software environment,​ written in C++ and Java, holds a series of algorithms called functors. Each functor performs an operation. We have implemented the most common spatial analysis algorithms available in commercial GIS (Geographic Information System), plus a series of algorithms especially designed for spatial simulations,​ including transition functions and calibration and validation methods. The software environment,​ written in C++ and Java, holds a series of algorithms called functors. Each functor performs an operation. We have implemented the most common spatial analysis algorithms available in commercial GIS (Geographic Information System), plus a series of algorithms especially designed for spatial simulations,​ including transition functions and calibration and validation methods.