data: SoilGrids Africa GYGA_Results_1km Aggregated_overERZD wat_cap

SoilGrids Africa GYGA_Results_1km Aggregated_overERZD wat_cap_whole: Total available water - fine earth and coarse fragments data

SoilGrids Africa GYGA_Results_1km Aggregated_overERZD Total available water - fine earth and coarse fragments: Total available water capacity (v\%) of the whole earth (incl. both fine earth and coarse fragments), aggregated over the Effective Root Zone Depth for Maize, 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 14:04:01 GMT

Data Views

	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 Africa GYGA_Results_1km Aggregated_overERZD wat_cap_whole[ 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

Average over X Y | 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