SoilGrids GYGA_Results_ll Aggregated_overERZD Textural_Class text_class: Textural class of the fine earth data
SoilGrids GYGA_Results_ll Aggregated_overERZD Textural_Class Textural class of the fine earth: Textural class (USDA) of the fine earth, aggregated over the Effective Root Zone Depth for Maize.
Independent Variables (Grids)
- Longitude
- grid: /X (degree_east) ordered (23.18W) to (56.89E) by 0.008999662 N= 8898 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (35S) to (38N) by 0.009000123 N= 8112 pts :grid
Other Info
Key |
1 | Cl |
2 | SiCl |
3 | SaCl |
4 | ClLo |
5 | SiClLo |
6 | SaClLo |
7 | Lo |
8 | SiLo |
9 | SaLo |
10 | Si |
11 | LoSa |
12 | Sa |
- datatype
- realarraytype
- missing_value
- NaN
- scale_max
- 12
- scale_min
- 1
- 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
- ids
- valid_max
- 255.0
- valid_min
- 0.0
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 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