data: SoilGrids GYGA_Results_ll Aggregated_overERZD root

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SoilGrids GYGA_Results_ll Aggregated_overERZD root_zone: Effective Root Zone Depth data

SoilGrids GYGA_Results_ll Aggregated_overERZD Effective Root Zone Depth: Effective Root Zone Depth (cm) for Maize.

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

datatype: realarraytype
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: cm
valid_max: 255.0
valid_min: 0.0
standard units*: 0.01 meter

Last updated: Tue, 15 Aug 2017 15:51:28 GMT

Data Views

	X	Y
SoilGrids GYGA_Results_ll Aggregated_overERZD[moist_cont_wilt soil_qual coarse_frag_cont wat_cap_whole wat_cap_fine wat_cap_abs moist_cont_sat Textural_Class root_zone ]
SoilGrids GYGA_Results_ll Aggregated_overERZD wat_cap_abs[ X Y \|]	M	M
SoilGrids GYGA_Results_ll Aggregated_overERZD root_zone[ 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