====== Dinamica EGO 7 ====== ===== Overview ===== 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: * [[lesson_2| Model design as diagrams using data-flow language on a friendly graphical interface]], * Nested iterations, * [[tutorial:varying_parameters_in_a_simulation|Multi-transitions]], * [[lesson_13|Dynamic feedbacks]], * [[tutorial:using_subregions_in_a_simulation_model|Multi-region]], * [[reference_book:image_virtualization|Multi-scale approach]], * Decision processes for bifurcating and joining execution pipelines, * [[functor list|A series of complex spatial algorithms for the analysis and simulation of space-time phenomena]]. * [[submodels|Sub-models]], * [[wizard|Model wizards]], * [[tutorial:heuristic_calibration_of_models_by_using_genetic_algorithm|Genetic Algorithm for model calibration]] * [[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. 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 EGOMLX, [[XML Script|EGOML Script]] or [[EGO Script|EGO script]] formats. In sum, Dinamica-EGO favors simplicity, flexibility and performance, optimizing speed and computer resources, such as memory and parallel processing. {{ :screens:dinamica-ego-5.png?direct&1200 |}} ===== Documentation ===== * [[http://www.dinamicaego.com|Dinamica EGO Website]] * [[http://www.dinamicaego.com/license|License Agreement]] * [[guidebook_start|Guidebook 2.0]] * [[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]] | [[what_is_new_6|What Is New in version 6]] | [[what_is_new_7|What Is New in version 7]] * [[Screenshots]] * [[https://www.youtube.com/channel/UC8NsKElyl_6ku9plyyRYKcg/playlists|Videos showing how to use Dinamica EGO 3, 4, 5, 6, and 7]] * [[guidebook_start|GUI Basics - Graphical Interface Elements]] * [[faq|Frequently Answered Questions (FAQ)]] / [[faq#troubleshooting|Troubleshooting]] * [[Submodels]] * [[reference_book:image_virtualization|Image Virtualization]] * [[lesson_20|R Coupling]] * [[python_coupling|Python Coupling]] * [[How-To]] * [[Useful Tips]] * [[Functor List]] * [[Utilities]] * [[plugins|Plugins]] * [[submodel_list| Submodel documentation ]] * [[community:Documentation Provided by the Community]] ===== Model Examples and datasets ===== https://csr.ufmg.br/imagery/guidebook_dinamica_5.rar