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disaggregation_of_crop_areas

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disaggregation_of_crop_areas [2020/03/28 09:31] – [Disaggregation of crop Areas] matszdisaggregation_of_crop_areas [2020/04/10 09:05] – [Data preparation] matsz
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 This is done on the basis of ‘similarity’ assuming that similar crops have similar preferences for natural conditions (or available infrastructure) and a similar spatial heterogeneity. This is done on the basis of ‘similarity’ assuming that similar crops have similar preferences for natural conditions (or available infrastructure) and a similar spatial heterogeneity.
 +
 This ‘gap-filling’ is done in three hierarchical steps: This ‘gap-filling’ is done in three hierarchical steps:
-  - Average crop area of similar crops in the same spatial unit as defined in the set mactgroups: + 
 +1. Average crop area of similar crops in the same spatial unit as defined in the set mactgroups: 
  
  
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     TREE.(APPL,CITR,OFRU,NURS,NUTS,LOLIV,LVINY)/;     TREE.(APPL,CITR,OFRU,NURS,NUTS,LOLIV,LVINY)/;
  
-  - If there are no ‘similar’ crops in the region or grid cell, the average area of all available crops is used. +2. If there are no ‘similar’ crops in the region or grid cell, the average area of all available crops is used. \\ 
-  If there is still no prediction of the in the spatial unit, the same crop area is given to the prior estimates in all spatial units in the region/grid cell.+3. If there is still no prediction of the in the spatial unit, the same crop area is given to the prior estimates in all spatial units in the region/grid cell.
  
 ===Checking availability of standard deviations=== ===Checking availability of standard deviations===
disaggregation_of_crop_areas.txt · Last modified: 2022/11/07 10:23 by 127.0.0.1

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