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SoilGrids GYGA_Results_ll Aggregated_overERZD coarse_frag_cont: Coarse fragments content data
SoilGrids GYGA_Results_ll Aggregated_overERZD Coarse fragments content: Coarse fragments content (v\%) of the whole earth, aggregated over the Effective Root Zone Depth 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
- 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| X | Y | |
 SoilGrids GYGA_Results_ll Aggregated_overERZD[coarse_frag_cont
wat_cap_whole
wat_cap_fine
soil_qual
wat_cap_abs
moist_cont_sat
moist_cont_wilt
Textural_Class
root_zone
] | ||
| grid: /X (degree_east) ordered (23.21W) to (56.9E) by 0.009000112 N= 8902 pts :grid | M | |
|---|---|---|
| grid: /Y (degree_north) ordered (35S) to (38N) by 0.009000123 N= 8112 pts :grid | M | |
| grid: /X (degree_east) ordered (23.21W) to (56.9E) by 0.009000112 N= 8902 pts :grid | M | |
| grid: /Y (degree_north) ordered (35S) to (38N) by 0.009000123 N= 8112 pts :grid | M | |
 SoilGrids GYGA_Results_ll Aggregated_overERZD coarse_frag_cont[ 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