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SoilGrids GYGA_Results_1km Aggregated_over30cm wat_cap_fine: Available water capacity - fine earth data
SoilGrids GYGA_Results_1km Aggregated_over30cm Available water capacity - fine earth: Available water capacity (percent water by volume, v\%) of the fine earth, aggregated over the top 30 cm, with field capacity defined at pF 2.3.Independent Variables (Grids)
- Longitude
- grid: /X (km) ordered (-3978.0 km) to (3397.0 km) by 1.0 N= 7376 pts :grid
- Latitude
- grid: /Y (km) ordered (-4322.0 km) to (3554.0 km) by 1.0 N= 7877 pts :grid
Other Info
- bufferwordsize
- 1
- CE
- 100
- CS
- 0
- datatype
- stringtype
- missing_value
- 255
- scale_max
- 100.0
- scale_min
- 0.0
- SpatialReferenceSystemDims
- X
Y - SpatialReferenceSystemWKT
- null
- units
- percent
- standard units*
- 0.01
Last updated: Tue, 15 Aug 2017 15:51:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 grid: /X (km) ordered (-3978.0 km) to (3397.0 km) by 1.0 N= 7376 pts :grid | M | |
|---|---|---|
| grid: /Y (km) ordered (-4322.0 km) to (3554.0 km) by 1.0 N= 7877 pts :grid | M | |
 SoilGrids GYGA_Results_1km Aggregated_over30cm wat_cap_fine[ X Y |] | M | M |
Filters
Here are some filters that are useful for manipulating data. There are actually many more available, but they have to be entered manually. See Ingrid Function Documentation for more information.- Monthly Climatology calculates a monthly climatology by averaging over all years.
- anomalies calculates the difference between the (above) monthly climatology and the original data.
- Integrate along X Y
- Differentiate along X Y
- Take differences along X Y
RMS (root mean square with mean *not* removed) over X Y | X Y |
RMSA (root mean square with mean removed) over X Y | X Y |
Maximum over X Y | X Y |
Minimum over X Y | X Y |
Detrend (best-fit-line) over X Y | X Y |
Note on units