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determine_weights_of_evidence_ranges [2011/08/02 01:54]
hermann created
determine_weights_of_evidence_ranges [2015/10/13 01:40] (current)
admin
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 ^ Name ^ Type ^ Description ^ ^ Name ^ Type ^ Description ^
-| Initial Landscape ​ | [[Categorical Map Type|Categorical Map]]  | Initial map of land use and cover classes. ​ | +| Initial Landscape ​ | [[Categorical Map Type]] ​ | Initial map of land use and cover classes. ​ | 
-| Final Landscape ​ | [[Categorical Map Type|Categorical Map]]  | Final map of land use and cover classes. ​ | +| Final Landscape ​ | [[Categorical Map Type]] ​ | Final map of land use and cover classes. ​ | 
-| Skeleton ​ | [[Weights Of Evidence Skeleton Type|Weights Of Evidence Skeleton]]  | Spatial variables selected and their types - Category or continuous gray-tone -, and the parameters specified for range definitions,​ such as increment, maximum and minimum deltas, and tolerance angle. ​ |+| Skeleton ​ | [[Weights Of Evidence Skeleton Type]] ​ | Spatial variables selected and their types - Category or continuous gray-tone -, and the parameters specified for range definitions,​ such as increment, maximum and minimum deltas, and tolerance angle. ​ |
  
 ===== Optional Inputs ===== ===== Optional Inputs =====
 +
 +^ Name  ^ Type  ^ Description ​ ^ Default Value  ^
 +| Fix Abnormal Weights ​ | [[Boolean Value Type]] ​ | If true, recalculate abnormal weights. Otherwise, assume abnormal values are zero.  | False  |
  
 ===== Outputs ===== ===== Outputs =====
  
 ^ Name ^ Type ^ Description ^ ^ Name ^ Type ^ Description ^
-| Ranges ​ | [[Weights Type| Weights]]  | Intervals defined for continuous gray-tone variable. ​ |+| Ranges ​ | [[Weights Type]] ​ | Intervals defined for continuous gray-tone variable. ​ |
  
 ===== Group ===== ===== Group =====
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 <​m>​W^+ = ln({y_{n=k}-y_{n=k-1}}/​{A_{n=k}-A_{n=k-1}})</​m>​ (10) <​m>​W^+ = ln({y_{n=k}-y_{n=k-1}}/​{A_{n=k}-A_{n=k-1}})</​m>​ (10)
  
-where <m>Y_n=An*exp(W^+)</​m>​ and //k// represents the breakpoints defined for the n increments of //Dx//.+where <m>y_n=An*exp(W^+)</​m>​ and //k// represents the breakpoints defined for the n increments of //Dx//.
  
 [{{ :​weightsofevidenceranges004.gif?​nolink&​ |(a) Plot of //An// against for the variable "​distance to all roads"​. The best-fitting curve can be approximated by a series of straight-line segments by using a line-generalizing algorithm as explained in the text. This approach is used to define the breaking points for this curve and subsequently category intervals for a continuous variable (b).}}] [{{ :​weightsofevidenceranges004.gif?​nolink&​ |(a) Plot of //An// against for the variable "​distance to all roads"​. The best-fitting curve can be approximated by a series of straight-line segments by using a line-generalizing algorithm as explained in the text. This approach is used to define the breaking points for this curve and subsequently category intervals for a continuous variable (b).}}]