PR Categorizing class reductino coeficient into categories

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  • Pro rata categories represent groups of land cover classes that share a common value of eligibility rate, even if they may relate to completely different permanent grassland land cover classes.
  • When the sample used for pro rata assessment yields a normal distribution with a low standard deviation, pro rata categories can be determined by:
  • calculating the area weighted mean RC of the sample,
  • applying no reduction when the pro rata RC calculation result is below 10%; full eligibility applies,
  • deducting any result above 10% from 100% and round that difference to the nearest 5.

Example of possible set of eligibility rates is given below:

LC Class observed RC [%] 100-RC Pro rata category Eligibility rate
Class 1 2,2 97,8 Grassland 100%
Class 2 8,9 91,1 Grassland 100%
Class 3 10,6 89,4 Grassland90 90%
Class 4 37,7 62,3 Grassland60 60%
Class 5 42,3 57,7 Grassland60 60%
Class 6 43,9 56,1 Grassland55 55%
Class 7 66,0 44,0 Grassland0 0%
  • By default, if the rate of eligibility drops below 50%, as for class 7 above, the land cover class RC should be set to zero. As an exception, below 50% eligibility grasslands should only be in the eligibility profile if the class is very specific and if the scattering of its ineligible features produces a standard deviation of the RC below 2%. Else, 20% of all class 7 cases would individually have 40% or less grass and imply a quantification error of more than 10%. Therefore, a careful analysis of the standard deviation of the class RC assessment is due.
  • Each of the retained pro rata LC classes has to be inserted in the eligibility profile with its precise definition, detailed description and eligibility rate assessment documentation.

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