Differences
This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Next revision Both sides next revision | ||
start [2020/04/02 13:00] britaldo |
start [2021/03/08 18:40] britaldo [Documentation] |
||
---|---|---|---|
Line 5: | Line 5: | ||
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, | ||
Line 11: | Line 11: | ||
* [[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]], | ||
Line 27: | Line 27: | ||
* [[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. | ||
Line 73: | Line 75: | ||
* [[plugins|Plugins]] | * [[plugins|Plugins]] | ||
- | * [[Submodel documentation]] | + | * [[submodel_list| Submodel documentation ]] |
* [[community:Documentation Provided by the Community]] | * [[community:Documentation Provided by the Community]] |