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∂adm0_code [ Features Political World Countries_GAUL_coarse label ]: ∂adm0_code Label data
Countries_GAUL_coarse label ∂adm0_code Label from Features Political World: Countries and 1st Order Admin boundaries.Independent Variables (Grids)
- adm0_code
- grid: /adm0_code (unitless) ordered [ (1.5) (2.5) (3.5) ... (147295.5)] N= 276 pts :grid
Other Info
- datatype
- realarraytype
- PGtype
- varchar
- units
- ids
Last updated: Mon, 07 Sep 2020 08:24:24 GMT
Data Views
Views
line plots
color bars
scatter| adm0_code | |
 $partialdiff sub adm0_code$ [ Features Political World Countries_GAUL_coarse label ][ | adm0_code] | 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 adm0_code
- Differentiate along adm0_code
- Take differences along adm0_code
RMS (root mean square with mean *not* removed) over adm0_code |
RMSA (root mean square with mean removed) over adm0_code |
Maximum over adm0_code |
Minimum over adm0_code |
Detrend (best-fit-line) over adm0_code |
Note on units