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lesson_22 [2020/02/14 19:58]
argemiro
lesson_22 [2020/02/19 14:16]
argemiro
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-====LESSON 22:  ​Heuristic calibration of models by using Genetic Algorithm ​ ====+=====Heuristic calibration of models by using Genetic Algorithm  ​=====
    
  
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 [{{ :​tutorial:​ga_ 5.1.jpg |Fig.3- ​ a) Transition probability map from Weights of Evidence (blue: low probability,​ red: high probability),​ b) Simulated changes (red) by using map from a) over historical changes from 1997 to 2000 (black). c) Transition probability map using weights output from //​[[:​Genetic Algorithm Tool]]// limited within a 120% envelope. d) Simulated changes (red) using map from b) over historical changes from 1997 to 2000 (black). e) Weights of evidence of deforestation as a function of distance to previously deforested areas (WofE- Weights of Evidence method, GAknn - GA sole method, others: GA with values limited, respectively,​ within 80% and 120% envelope of original weights of evidence values, ​ f ) Simulated changes (red) using map from c) over historical changes from 2000 to 2003 (black).}}] [{{ :​tutorial:​ga_ 5.1.jpg |Fig.3- ​ a) Transition probability map from Weights of Evidence (blue: low probability,​ red: high probability),​ b) Simulated changes (red) by using map from a) over historical changes from 1997 to 2000 (black). c) Transition probability map using weights output from //​[[:​Genetic Algorithm Tool]]// limited within a 120% envelope. d) Simulated changes (red) using map from b) over historical changes from 1997 to 2000 (black). e) Weights of evidence of deforestation as a function of distance to previously deforested areas (WofE- Weights of Evidence method, GAknn - GA sole method, others: GA with values limited, respectively,​ within 80% and 120% envelope of original weights of evidence values, ​ f ) Simulated changes (red) using map from c) over historical changes from 2000 to 2003 (black).}}]
  
-Congratulations,​ you have successfully completed this lesson! ​Now let’s move to the **next lesson:​** ​[[lesson_23|LESSON 23 Agent Based Model]]+\\ 
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 +===Congratulations,​ you have successfully completed this lesson!=== 
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 +[[lesson_23|Next: Agent Based Model]] 
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 +☞[[:​guidebook_start| Back to Guidebook Start]]