served from digilib.icpac.net
SoilGrids GYGA_Results_1km Aggregated_over30cm moist_cont_wilt: Moisture content of the fine earth - wilting point data
SoilGrids GYGA_Results_1km Aggregated_over30cm Moisture content of the fine earth - wilting point: Moisture content (v\%) of the fine earth at permanent wilting point, aggregated over the top 30 cm, with PWP defined at pF 4.2.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 15:51:28 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| X | Y | |
 SoilGrids GYGA_Results_1km Aggregated_over30cm[moist_cont_sat
wat_cap_fine
text_class
moist_cont_wilt
wat_cap_whole
wat_cap_abs
coarse_frag_cont
] | ||
 SoilGrids GYGA_Results_1km Aggregated_over30cm moist_cont_wilt[ 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
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