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SoilGrids Rwanda GYGA_Results_ll Aggregated_overERZD wat_cap_abs: Absolute total available water data
SoilGrids Rwanda GYGA_Results_ll Aggregated_overERZD Absolute total available water: Absolute total available water capacity (mm), aggregated over the Effective Root Zone Depth for Maize.Independent Variables (Grids)
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.52265E) to (30.97968E) by 0.009000108 N= 274 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.977561S) to (1.024535S) by 0.00900012 N= 218 pts :grid
Other Info
- CE
- null
- CS
- 0
- datatype
- realarraytype
- missing_value
- NaN
- scale_min
- 0.0
- units
- mm
- standard units*
- 0.001 meter
Last updated: Tue, 15 Aug 2017 14:04:01 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 SoilGrids Rwanda GYGA_Results_ll Aggregated_overERZD[wat_cap_abs
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 SoilGrids Rwanda GYGA_Results_ll Aggregated_overERZD wat_cap_abs[ X Y |] | M | M |
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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