served from maproom.meteorwanda.gov.rw
∂Y root mean sq [ Rwanda RAB soil bld ] : ∂Y Bulk density data
soil bld bld ∂Y Bulk density from Rwanda RAB: Rwanda Agricultural Board.Independent Variables (Grids)
- sl
- grid: /sl (cm) ordered [ (5.0)] :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.839286S) to (1.0625S) by 0.008928572 N= 200 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999.0
0 - missing_value
- NaN
- units
- 57295.7795130823 kilogram meter-3 radian-1 north
- history
- Averaged over X[28.85714E, 30.89286E] minimum 0.0% data present
Last updated: Tue, 17 Mar 2020 13:52:02 GMT
Data Views
Views
line plots
color bars
scatter| sl | Y | |
 grid: /Y (degree_north) ordered (2.839286S) to (1.0625S) by 0.008928572 N= 200 pts :grid | M | |
|---|---|---|
 $partialdiff sub Y$ root mean sq [ Rwanda RAB soil bld ] 5.0 cm[ Y | sl] | 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 Y
- Differentiate along Y
- Take differences along Y
RMS (root mean square with mean *not* removed) over Y |
RMSA (root mean square with mean removed) over Y |
Maximum over Y |
Minimum over Y |
Detrend (best-fit-line) over Y |
Note on units