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+ | ====== Dinamica EGO 6 ====== | ||
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+ | ===== 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: | ||
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+ | * [[lesson_2| Model design as diagrams using data-flow language on a friendly graphical interface]], | ||
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+ | * Nested iterations, | ||
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+ | * [[tutorial:varying_parameters_in_a_simulation|Multi-transitions]], | ||
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+ | * [[lesson_13|Dynamic feedbacks]], | ||
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+ | * [[tutorial:using_subregions_in_a_simulation_model|Multi-region]], | ||
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+ | * [[reference_book:image_virtualization|Multi-scale approach]], | ||
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+ | * Decision processes for bifurcating and joining execution pipelines, | ||
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+ | * [[functor list|A series of complex spatial algorithms for the analysis and simulation of space-time phenomena]]. | ||
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+ | * [[submodels|Sub-models]], | ||
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+ | * [[wizard|Model wizards]], | ||
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+ | * [[tutorial:heuristic_calibration_of_models_by_using_genetic_algorithm|Genetic Algorithm for model calibration]] | ||
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+ | * [[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]] | ||
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+ | 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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+ | Dinamica EGO functors are sequenced in a graph form to establish a visual data flow. With the help of its graphical interface, one can create models by simply dragging and connecting functors via their ports, each of which represents a connector to a data element, such as a map, a table, a matrix, a mathematical expression, or a constant. Thus, models can be designed as a diagram, whose execution follows a data flow chain. This friendly interface allows for creative design of spatial models that are saved in [[XML Script|XML]] or [[EGO Script|EGO script]] format. | ||
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+ | In sum, Dinamica-EGO favors simplicity, flexibility and performance, optimizing speed and computer resources, such as memory and parallel processing. | ||
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+ | {{ :screens:dinamica-ego-5.png?direct&1200 |}} | ||
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+ | ===== Documentation ===== | ||
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+ | * [[http://www.dinamicaego.com|Dinamica EGO Website]] | ||
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+ | * [[http://www.dinamicaego.com/license|License Agreement]] | ||
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+ | * [[guidebook_start|Guidebook 2.0]] | ||
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+ | * [[what_is_new_3|What Was New in version 3]] | [[what_is_new_4|What Is New in version 4]] | [[what_is_new_5|What Is New in version 5]] | ||
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+ | * [[Screenshots]] | ||
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+ | * [[https://www.youtube.com/channel/UC8NsKElyl_6ku9plyyRYKcg/playlists|Videos showing how to use Dinamica EGO 3, 4, and 5]] | ||
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+ | * [[guidebook_start|GUI Basics - Graphical Interface Elements]] | ||
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+ | * [[faq|Frequently Answered Questions (FAQ)]] / [[faq#troubleshooting|Troubleshooting]] | ||
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+ | * [[Submodels]] | ||
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+ | * [[reference_book:image_virtualization|Image Virtualization]] | ||
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+ | * [[lesson_20|R Coupling]] | ||
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+ | * [[python_coupling|Python Coupling]] | ||
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+ | * [[How-To]] | ||
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+ | * [[Useful Tips]] | ||
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+ | * [[Functor List]] | ||
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+ | * [[Utilities]] | ||
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+ | * [[plugins|Plugins]] | ||
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+ | * [[submodel_list| Submodel documentation ]] | ||
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+ | * [[community:Documentation Provided by the Community]] | ||
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+ | ===== Model Examples and datasets ===== | ||
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+ | <note> https://csr.ufmg.br/imagery/guidebook_dinamica_5.rar </note> | ||
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