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∂Y ∂X [ SoilGrids GYGA_Results_ll Aggregated_over30cm text_class ] : ∂Y ∂X Textural class of the fine earth data
∂Y ∂Y ∂X Textural class of the fine earth: Textural class (USDA) of the fine earth, aggregated over the top 30 cm.Independent Variables (Grids)
- Longitude
- grid: /X (degree_east) ordered (23.2055W) to (56.8955E) by 0.009000112 N= 8901 pts :grid
- Latitude
- grid: /Y (degree_north) ordered (34.991S) to (37.991N) by 0.009000123 N= 8110 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
- ids /degree_east /degree_north
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 | |
 $partialdiff sub Y$ $partialdiff sub X$ [ SoilGrids GYGA_Results_ll Aggregated_over30cm text_class ] [ X Y |] | M | M |
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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