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start [2020/04/02 12:51] britaldo |
start [2020/11/18 18:25] hermann |
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- | ====== Dinamica EGO 5 ====== | + | ====== Dinamica EGO 5 ======teste |
===== Overview ===== | ===== Overview ===== | ||
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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]], |
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* 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]] |
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+ | * [[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. |