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Rwanda RAB soil BLD_d: Bulk density data
soil Bulk density from Rwanda RAB: Rwanda Agricultural Board.Independent Variables (Grids)
- sl
- grid: /sl (cm) ordered [ (15.0) (30.0) (60.0) (100.0) (200.0)] :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (28.86161E) to (30.88839E) by 0.008928576 N= 228 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (2.84375S) to (1.058036S) by 0.008928572 N= 201 pts :grid
Other Info
- datatype
- realarraytype
- missing_value
- 1.00000003E32
- units
- g /cm3
- standard units*
- 1000 kilogram meter-3
Last updated: Tue, 17 Mar 2020 13:52:02 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| sl | X | Y | |
 grid: /X (degree_east) ordered (28.86161E) to (30.88839E) by 0.008928576 N= 228 pts :grid | M | ||
|---|---|---|---|
| grid: /Y (degree_north) ordered (2.84375S) to (1.058036S) by 0.008928572 N= 201 pts :grid | M | ||
| grid: /sl (cm) ordered [ (15.0) (30.0) (60.0) (100.0) (200.0)] :grid | M | ||
 Rwanda RAB soil BLD_d[ X Y sl |] | M | 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 sl
- Differentiate along X Y sl
- Take differences along X Y sl
RMS (root mean square with mean *not* removed) over X Y sl | X Y X sl Y sl | X Y sl |
RMSA (root mean square with mean removed) over X Y sl | X Y X sl Y sl | X Y sl |
Maximum over X Y sl | X Y X sl Y sl | X Y sl |
Minimum over X Y sl | X Y X sl Y sl | X Y sl |
Detrend (best-fit-line) over X Y sl | X Y X sl Y sl | X Y sl |
Note on units