disaggregation_of_crop_areas
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| Both sides previous revisionPrevious revision | Next revisionBoth sides next revision | ||
| disaggregation_of_crop_areas [2020/03/28 09:31] – [Disaggregation of crop Areas] matsz | disaggregation_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: | ||
| Line 328: | Line 330: | ||
| TREE.(APPL, | TREE.(APPL, | ||
| - | - 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. |
| - | | + | 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