Difference between revisions of "Spatial schematization"

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{{scientific}}
 
The crop models in MCYFS where originally developed to simulate crop yield for a single location (or region) where weather, soil and crop characteristics are assumed homogeneous. To apply the crop models on a large scale the models have to be run for every location with a unique set of weather, soil and crop characteristics.
 
The crop models in MCYFS where originally developed to simulate crop yield for a single location (or region) where weather, soil and crop characteristics are assumed homogeneous. To apply the crop models on a large scale the models have to be run for every location with a unique set of weather, soil and crop characteristics.
  
The weather and spatial and temporal crop characteristics are assumed to be homogeneous per grid cell of the 25x25km climate grid. The soil characteristics are assumed to be homogeneous per {{Hint|STU|Soil Typologic Unit}}. The STU data are stored in table {{Tablelink|SOIL_TYPOLOGIC_UNIT}}.
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The weather and spatial and temporal crop characteristics are assumed to be homogeneous per grid cell of the 25x25km climate grid. The soil characteristics are assumed to be homogeneous per {{Hint|STU|Soil Typologic Unit}}. The STU data are stored in table {{Object|SOIL_TYPOLOGIC_UNIT}}. The smallest cartographic unit of the  soil map is called a {{Hint|SMU|Soil Mapping Unit}} which consists of various STU's. Only the relative amount of a STU within a SMU is known. All unique SMU's are stored in table {{Object|SOIL_MAPPING_UNIT}}, the relation between STU's and SMU's is stored in table {{Object|SOIL_ASSOCIATION_COMPOSITION}}. When combining the weather, crop and soil data layers we have to intersect the 25x25km climate grid with a map of the SMU's. This results in so-called {{Hint|EMU|Elementary Mapping Unit}}’s stored in table {{Object|EMU}}.
  
The smallest cartographic unit of the  soil map is called a {{Hint|SMU|Soil Mapping Unit}} which consists of variuos STU's. Only the relative amount of a STU within a SMU is know. All unique SMU's are stored in table {{Tablelink|SOIL_MAPPING_UNIT}}, the relation between STU's and SMU's is stored in table {{Tablelink|SOIL_ASSOCIATION_COMPOSITION}}.
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Note that inside each EMU one or more STU's can exist. The crop models have to be run for every unique combination of grid cell and STU called simulation unit. The simulation units are stored in table {{Object|SIMULATION_UNIT}}. The result are aggregated to a values per EMU by a weighted average of the simulation units it consists off. The aggregated results per EMU are stored in the table {{Object|SIMYIELD_EMU}}. With the existing relation between EMU's and grid cells the results can be aggregated to grid cells (stored in table {{Object|SIMYIELD_GRID}}).
  
When combining the weather, crop and soil datalayers we have to instersect the 25x25km climate grid with a map of the SMU's. This results in so-called {{Hint|EMU|Elementary Mapping Unit}}’s stored in table {{Tablelink|ELEMENTARY_MAPPING_UNIT}}.
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In the [[Yield Forecasting]] module the simulated results are compared on a regional scale. The regional yield statistics are normally available at national (level 0) or at provincial level (level 1 or 2). To be able to aggregate model output to administrative regions it is necessary to know the relation between EMU's and administrative regions. Therefore the EMU's are intersected with a map of the administrative regions on the finest resolution (level 3). Together with the relation between administrative levels (stored in table {{Object|REGION_MAPPINGS}}, the crop area per region stored in {{Object|LINK_EMU_REGION_LANDCOVER}} and {{Object|AGGREGATION_AREAS}}) the results can be aggregated to any administrative level. The aggregated simulation results per administrative region are stored in the table {{Object|SIMYIELD_REGION}}.
 
 
Still the crop models have to be run for every unique combination of grid cell and STU (for every simulation unit) and the result need to be aggregated to a values per SMU by a weighted average of the simulation units it contains. The aggregated simulation results per EMU are stored in the table {{Tablelink|CROP_YIELD}}. With the existing relation between EMU's and grid cells the results can be aggregated to grid cells (stored in table {{Tablelink|GRID_YIELD}}).
 
 
 
In the [[Yield Forecasting]] module the simulated results are compared on a regional scale. The regional yield statistics are normally available at national (level 0) or at provincial level (level 1 or 2). To be able to aggregate model output to administrative regions it is necessary to know the relation between EMU's and administrative regions. Therefore the EMU's are intersected with a map of the administrative regions ({{Gloshint|NUTS|Nomenclature des Unités Territoriales Statistiques. |NUTS}} level 3). In this way results can be aggregated to any administrative level. The aggregated simulation results per administrative region are stored in the table {{Tablelink|NUTS_YIELD}}.
 
  
 
[[File:Flowchart_mcyfs_spatial_mapping.jpg|thumb|none|700px|Spatial schematization. Intersection of weather map (25x25 km grid cells), soil map (SMU's) and administrative regions (NUTS level 3.]]
 
[[File:Flowchart_mcyfs_spatial_mapping.jpg|thumb|none|700px|Spatial schematization. Intersection of weather map (25x25 km grid cells), soil map (SMU's) and administrative regions (NUTS level 3.]]
 
==Tables==
 
* describe different database tables
 
  
 
[[Category:Crop Simulation]]
 
[[Category:Crop Simulation]]

Latest revision as of 16:42, 13 December 2018



The crop models in MCYFS where originally developed to simulate crop yield for a single location (or region) where weather, soil and crop characteristics are assumed homogeneous. To apply the crop models on a large scale the models have to be run for every location with a unique set of weather, soil and crop characteristics.

The weather and spatial and temporal crop characteristics are assumed to be homogeneous per grid cell of the 25x25km climate grid. The soil characteristics are assumed to be homogeneous per STU. The STU data are stored in table SOIL_TYPOLOGIC_UNIT. The smallest cartographic unit of the soil map is called a SMU which consists of various STU's. Only the relative amount of a STU within a SMU is known. All unique SMU's are stored in table SOIL_MAPPING_UNIT, the relation between STU's and SMU's is stored in table SOIL_ASSOCIATION_COMPOSITION. When combining the weather, crop and soil data layers we have to intersect the 25x25km climate grid with a map of the SMU's. This results in so-called EMU’s stored in table EMU.

Note that inside each EMU one or more STU's can exist. The crop models have to be run for every unique combination of grid cell and STU called simulation unit. The simulation units are stored in table SIMULATION_UNIT. The result are aggregated to a values per EMU by a weighted average of the simulation units it consists off. The aggregated results per EMU are stored in the table SIMYIELD_EMU. With the existing relation between EMU's and grid cells the results can be aggregated to grid cells (stored in table SIMYIELD_GRID).

In the Yield Forecasting module the simulated results are compared on a regional scale. The regional yield statistics are normally available at national (level 0) or at provincial level (level 1 or 2). To be able to aggregate model output to administrative regions it is necessary to know the relation between EMU's and administrative regions. Therefore the EMU's are intersected with a map of the administrative regions on the finest resolution (level 3). Together with the relation between administrative levels (stored in table REGION_MAPPINGS, the crop area per region stored in LINK_EMU_REGION_LANDCOVER and AGGREGATION_AREAS) the results can be aggregated to any administrative level. The aggregated simulation results per administrative region are stored in the table SIMYIELD_REGION.

Spatial schematization. Intersection of weather map (25x25 km grid cells), soil map (SMU's) and administrative regions (NUTS level 3.