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start [2020/02/20 18:53]
lilian
start [2020/11/18 18:25]
hermann
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 EGO stands for //​Environment for Geoprocessing Objects//. Dinamica EGO consists of a sophisticated platform for environmental modeling with outstanding possibilities for the design from the very simple static spatial model to very complex dynamic ones.  Its main features includes: EGO stands for //​Environment for Geoprocessing Objects//. Dinamica EGO consists of a sophisticated platform for environmental modeling with outstanding possibilities for the design from the very simple static spatial model to very complex dynamic ones.  Its main features includes:
  
-  * Model design as diagrams using data-flow language on a friendly graphical interface,+  * [[lesson_2| ​Model design as diagrams using data-flow language on a friendly graphical interface]],
   ​   ​
   * Nested iterations,   * Nested iterations,
  
-  * Multi-transitions,​+  * [[tutorial:​varying_parameters_in_a_simulation|Multi-transitions]],
  
-  * Dynamic feedbacks,+  * [[lesson_13|Dynamic feedbacks]],
  
-  * Multi-region ​and multi-scale approach,+  * [[tutorial:​using_subregions_in_a_simulation_model|Multi-region]], 
 +  
 +  * [[reference_book:​image_virtualization|Multi-scale approach]],
  
   * Decision processes for bifurcating and joining execution pipelines,   * Decision processes for bifurcating and joining execution pipelines,
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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.
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   * [[reference_book:​image_virtualization|Image Virtualization]]   * [[reference_book:​image_virtualization|Image Virtualization]]
  
-  * [[guidebook_start|R Coupling]]+  * [[lesson_20|R Coupling]]
  
-  * [[guidebook_start|Python Coupling]]+  * [[python_coupling|Python Coupling]]
  
   * [[How-To]]   * [[How-To]]
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   * [[plugins|Plugins]]   * [[plugins|Plugins]]
 +
 +  * [[Submodel documentation]]
  
   * [[community:​Documentation Provided by the Community]]   * [[community:​Documentation Provided by the Community]]
  
-===== Model Examples =====+===== Model Examples ​and datasets ​=====
  
-  * [[Model Examples]]+<​note>​ https://​csr.ufmg.br/​imagery/​guidebook_dinamica_5.rar </​note>​ 
 +  ​