data: SoilGrids Africa GYGA_Results_1km Aggregated_over30cm moist_cont

SoilGrids Africa GYGA_Results_1km Aggregated_over30cm moist_cont_sat: Moisture content of the fine earth - saturation data

SoilGrids Africa GYGA_Results_1km Aggregated_over30cm Moisture content of the fine earth - saturation: Moisture content (v\%) of the fine earth at saturation, aggregated over the top 30 cm.

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
SoilGrids Africa GYGA_Results_1km Aggregated_over30cm[wat_cap_fine moist_cont_wilt wat_cap_whole text_class coarse_frag_cont wat_cap_abs moist_cont_sat ]
SoilGrids Africa GYGA_Results_1km Aggregated_over30cm moist_cont_sat[ 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