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tutorial:building_a_land-use_and_land-cover_change_simulation_model [2017/01/27 17:05]
francisco [Second step: Calculating ranges to categorize gray-tone variables]
tutorial:building_a_land-use_and_land-cover_change_simulation_model [2017/10/17 03:20]
admin
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 ==== Second step: Calculating ranges to categorize gray-tone variables ==== ==== Second step: Calculating ranges to categorize gray-tone variables ====
  
-The Weights of Evidence method [[http://​dx.doi.org/​10.1016/​0040-1951(93)90011-8|(Goodacre et al. 1993]] +The Weights of Evidence method [[http://​dx.doi.org/​10.1016/​0040-1951(93)90011-8|(Goodacre et al. 1993]][[https://books.google.com/books?​printsec=frontcover&​vid=ISBN0080424201&​vid=ISBN0080418678&​vid=LCCN94028315#​v=onepage&​q&​f=false|Bonham-Carter 1994)]] is applied in Dinamica EGO to produce a transition probability map (fig. 3), which depicts the most favourable areas for a change [[http://​dx.doi.org/​10.1016/​S0304-3800(02)00059-5|(Soares-Filho et al. 2002]][[http://​dx.doi.org/​ 10.1111/​j.1529-8817.2003.00769.x|,​ 2004)]]. ​
-[[http://www.rc.unesp.br/igce/​geologia/​GAA01048/​papers/​Bonham-Carter_Cap9.pdf|Bonham-Carter1994)]] is applied in Dinamica EGO to produce a transition probability map (fig. 3), which depicts the most favourable areas for a change [[http://​dx.doi.org/​10.1016/​S0304-3800(02)00059-5|(Soares-Filho et al. 2002]][[http://​dx.doi.org/​ 10.1111/​j.1529-8817.2003.00769.x|,​ 2004)]]. ​+
  
 Weights of Evidence consists of a Bayesian method, in which the effect of a spatial variable on a transition is calculated independently of a combined solution. The Weights of Evidence represent each variable’s influence on the spatial probability of a transition i-j and are calculated as follows. Weights of Evidence consists of a Bayesian method, in which the effect of a spatial variable on a transition is calculated independently of a combined solution. The Weights of Evidence represent each variable’s influence on the spatial probability of a transition i-j and are calculated as follows.
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 {{ :​tutorial:​lucc_16.jpg |}} {{ :​tutorial:​lucc_16.jpg |}}
  
-Instead of //[[:Number Map]]//, now you find //[[:Name Map]]// within this container. This functor is applied to containers that need a map name or alias to identify the maps passed to them. //[[:Name Map]]// is found in the Create Hook into container´s toolbar. This can be any name, but you must be consistent, therefore using the same names when setting the container internal parameters, as shown below. Examples of containers that need Name Map are //​[[:​Determine Weights Of Evidence Ranges]]//, //​[[:​Determine Weights Of Evidence Coefficients]]//,​ and //​[[:​calc_w._of_e._probability_map|Calc W. Of E. Probability Map]]//.+Instead of //[[:Number Map]]//, now you find //[[:Name Map]]// within this container. This functor is applied to containers that need a map name or alias to identify the maps passed to them. //[[:Name Map]]// is found in the Create Hook into container action bar. This can be any name, but you must be consistent, therefore using the same names when setting the container internal parameters, as shown below. Examples of containers that need Name Map are //​[[:​Determine Weights Of Evidence Ranges]]//, //​[[:​Determine Weights Of Evidence Coefficients]]//,​ and //​[[:​calc_w._of_e._probability_map|Calc W. Of E. Probability Map]]//.
  
 There are two //[[:Name Map]]// functors within this container, one for the map ''​23267statitcs.ers''​ and another for the distance map output from the //[[:Calc Distance Map]]//. There are two //[[:Name Map]]// functors within this container, one for the map ''​23267statitcs.ers''​ and another for the distance map output from the //[[:Calc Distance Map]]//.
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-This model performs pairwise tests for categorical maps in order to test the independence assumption. Methods employed are the Chi^2, ​Crammers, the Contingency,​ the Entropy and the Uncertainty Joint Information [[http://​www.rc.unesp.br/​igce/​geologia/​GAA01048/​papers/​Bonham-Carter_Cap9.pdf|( Bonham-Carter,​ 1994)]]. In addition to the links to be connected, the only parameter to be set in the Determine Weights of Evidence Correlation is the transition as follows:+This model performs pairwise tests for categorical maps in order to test the independence assumption. Methods employed are the Chi^2, ​Cramer, the Contingency,​ the Entropy and the Uncertainty Joint Information [[http://​www.rc.unesp.br/​igce/​geologia/​GAA01048/​papers/​Bonham-Carter_Cap9.pdf|( Bonham-Carter,​ 1994)]]. In addition to the links to be connected, the only parameter to be set in the Determine Weights of Evidence Correlation is the transition as follows:
  
 {{ :​tutorial:​lucc_26.2.jpg |}}\\ {{ :​tutorial:​lucc_26.2.jpg |}}\\
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 ==== Fifth step: Setting up and running a LUCC simulation model ==== ==== Fifth step: Setting up and running a LUCC simulation model ====
  
-Let’s start setting up the deforestation simulation model by loading the input data. You will need //[[:Load Categorical Map]]// to load the initial landscape: ''​original/​23267_1997.ers'',​ //[[:Load Map]]// for ''​originals/​23267statics.ers'',​ //[[:Load Weights]]// for ''​new_weights.dcf'',​ and //[[:Load Lookup Table]]// for the multi-step transition matrix: ''​originals/​multiple_steps.csv''​ because you will run the model in annual time-steps. Add the following comments to each functor:+Let’s start setting up the deforestation simulation model by loading the input data. You will need //[[:Load Categorical Map]]// to load the initial landscape: ''​originals/​23267_1997.ers'',​ //[[:Load Map]]// for ''​originals/​23267statics.ers'',​ //[[:Load Weights]]// for ''​new_weights.dcf'',​ and //[[:Load Lookup Table]]// for the multi-step transition matrix: ''​originals/​multiple_steps.csv''​ because you will run the model in annual time-steps. Add the following comments to each functor:
  
 {{ :​tutorial:​lucc_28.jpg |}} {{ :​tutorial:​lucc_28.jpg |}}