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patterns_of_change [2015/09/26 21:20]
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patterns_of_change [2015/09/27 00:56]
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 ====== Spatial Patterns of Changes ====== ====== Spatial Patterns of Changes ======
  
-As Dinamica EGO was designed to be a general purpose dynamic modeling software, we present a collection of spatial patterns produced by the various combinations of its transition functions. In order to evaluate the wide range of Dinamias’s possibilities,​ a series of simulation were run using synthetic simplified maps. The results for each model are presented as follows:+As Dinamica EGO was designed to be a general purpose dynamic modeling software, we present a collection of spatial patterns produced by the various combinations of its transition functions. In order to evaluate the wide range of Dinamicas’s possibilities,​ a series of simulation were run using synthetic simplified maps. The results for each model are presented as follows:
  
 H0 to H8 are run, for a sole time step, by using a transition matrix 2x2 that models only one transition – from class 2 to 1 – with a rate of 0.01. The landscape map encompasses a matrix of 132 by 132 cells and all cells have equivalent spatial transition probability,​ which means that ancillary variables are not used to influence the cell allocation process. H0 to H8 are run, for a sole time step, by using a transition matrix 2x2 that models only one transition – from class 2 to 1 – with a rate of 0.01. The landscape map encompasses a matrix of 132 by 132 cells and all cells have equivalent spatial transition probability,​ which means that ancillary variables are not used to influence the cell allocation process.
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 |[{{:​image149.jpg|Simulated Landscape After 1 Iteration}}][{{:​image150.jpg|Simulated Landscape After 10 Iterations}}]| |[{{:​image149.jpg|Simulated Landscape After 1 Iteration}}][{{:​image150.jpg|Simulated Landscape After 10 Iterations}}]|
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 +In conclusion, the combination of Dinamica’s transition function presents numerous possibilities with respect to the generation and evolvement of spatial patterns of change. As a result, Dinamica can be considered as a potential tool for the replication of dynamic landscape structures. The calibration of a simulated landscape can be achieved by a series of simulation using varying parameters. An approximated solution can be attained comparing landscape metrics, such as fractal index and mean patch size of the simulated maps with the ones of the reference landscape. We intend to incorporate in the next version of Dinamica an automatic calibration procedure aiming at the match of spatial patterns.
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