Modeling Environmental Dynamics with Dinamica EGO (short course)

DINAMICA EGO freeware ( is a spatially-explicit, high-performance, modeling platform used by many scholars around the world. Dinamica EGO presents outstanding possibilities for the design of spatial models, from analytical to the very complex dynamic ones. These models can ultimately involve nested iterations, dynamic feedbacks, multi-region and multi-scale approach, manipulation and algebraic combination of data in several format, dynamic coupling with R and Python code, decision processes for bifurcating and joining execution of pipelines, and a series of spatial algorithms for parallel processing of big-data, including imagery classification, and simulation of space-time phenomena.

Dinamica EGO has been applied to numerous environmental studies, including the modeling of deforestation, land-use change, forestry rents, cattle ranching and agriculture, fire propagation, river regime, biodiversity, land-use policy evaluation, and high-spatial resolution mapping. See list of publications at Dinamica EGO - Publications.

The course aims to introduce the vast possibilities of Dinamica EGO for the design and operation of spatial models.


-          Brief theory on land-use change modeling

-          Visual interface, library of algorithms and user’s submodels, and visual programming language

-          Design, calibration, validation, and operation of land use change model.

-          Examples of applications of Dinamica EGO, including fire spread, carbon cycling and CO2 emissions, spatially-explicit land-use change.

Requirement: Experience with GIS or environmental modeling

Duration: (8 hours).

Number of students: about 15, but can be more.  Just need to install Dinamica EGO on each student’s computer.


Please register here: