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SoilGrids GYGA_Results_ll Aggregated_overERZD moist_cont_wilt: Moisture content of the fine earth - wilting point data
SoilGrids GYGA_Results_ll Aggregated_overERZD Moisture content of the fine earth - wilting point: Moisture content (v\%) of the fine earth at permanent wilting point, aggregated over the Effective Root Zone Depth for Maize, with PWP defined at pF 4.2.Independent Variables (Grids)
- Longitude
- grid: /X (degree_east) ordered (23.21W) to (56.9E) by 0.009000112 N= 8902 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (35S) to (38N) by 0.009000123 N= 8112 pts :grid
Other Info
- CE
- 100
- CS
- 0
- datatype
- realarraytype
- missing_value
- NaN
- scale_max
- 100.0
- scale_min
- 0.0
- SpatialReferenceSystemDims
- X
Y - SpatialReferenceSystemWKT
- GEOGCS["WGS 84",DATUM["WGS_1984",SPHEROID["WGS 84",6378137,298.257223563,AUTHORITY["EPSG","7030"]],AUTHORITY["EPSG","6326"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.01745329251994328,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4326"]]
- units
- percent
- valid_max
- 255.0
- valid_min
- 0.0
- 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
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