max root mean sq anom ∫dX [ SoilGrids GYGA_Results_ll Aggregated_overERZD coarse_frag_cont ] : Coarse fragments content data
max Coarse fragments content: Coarse fragments content (v\%) of the whole earth, aggregated over the Effective Root Zone Depth for Maize.
is
Independent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- missing_value
- NaN
- 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
- 0.000174532925199433 radian east
- history
- max root mean sq anom $integral dX$ [ SoilGrids GYGA_Results_ll Aggregated_overERZD coarse_frag_cont ]
- Averaged over Y[35S, 38N] minimum 0.0% data present
max over X[23.2145W, 56.9045E]
Last updated: Tue, 15 Aug 2017 15:51:28 GMT
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
- Differentiate along
- Take differences along
Average over
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units