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tutorial:varying_parameters_in_a_simulation [2013/07/23 21:10]
juliana
tutorial:varying_parameters_in_a_simulation [2013/07/29 13:55]
juliana
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-==== Varying parameters in a simulation ====+====== Varying parameters in a simulation ====== 
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-**Matrix Number** in this functor indentifies the model step in which this transition matrix begins to operate. The model will use this matrix until it finds a //Number Transition Matrix// with **Matrix Number** that corresponds to the current model step, while from this point onwards Select Transition Matrix switches to the new transition matrix. ​+**Matrix Number** in this functor indentifies the model step in which this transition matrix begins to operate. The model will use this matrix until it finds a //Number Transition Matrix// with **Matrix Number** that corresponds to the current model step, while from this point onwards ​//Select Transition Matrix// switches to the new transition matrix. ​
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 +**Using different Weights of Evidence coefficients** ​
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 +The same procedure applies to the selection of other model parameters, such as the Weight of Evidence ​
 +coefficients. ​
 +Load the model: “simulate_deforestation_using_multiple_transition_matrix_and_weights.xml” from \Examples\advanced\multiple_parameters\simulate_deforestation_using_multiple_transition_matrix_and_weights
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 +A //Select Weights// functor is added to the model to enable the selection of more than one Weights of Evidence coefficient files. A //Number Weight// is inserted within the container //Select Weights// for each Weights of Evidence coefficient file. Another //Load Weights// is added to the model in the outside part of the main loop (//​Repeat//​). This functor loads the coefficients from a file and is connected to one of the// Number Weights// inside the //Select Weights//. Open each one of the// Number Weights// and edit the **Weight Number** field to define the step when each coefficient file begins to take part in the model.
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 +{{:​tutorial:​advanced_18.jpg |}}
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 +[[tutorial:​using_subregions_in_a_simulation_model|Next Lesson]]