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mean ∂depto_sec [ MGAP SNIG ExGa Capones ] : ∂depto_sec Capones data
Capones partial_depto_sec partial_depto_sec ∂depto_sec Capones from MGAP SNIG ExGa: Existencias de bovinos y ovinos segun Declaraciones Juradas (Sujeto a revision de DICOSE).Independent Variables (Grids)
- depto_sec
- grid: /depto_sec (ids) unordered [ (0102) (0103) (0104) ... (15)] N= 274 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- pointwidth
- 12.0
- units
- unitless /ids
- history
- Averaged over T[2005, 2014] minimum 0.0% data present
Last updated: Thu, 04 Feb 2016 15:18:09 GMT
Data Views
Views
line plots
color bars
scatter| depto_sec | |
 doc[] | |
 mean $partialdiff sub depto_sec$ [ MGAP SNIG ExGa Capones ] [ depto_sec |] | 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 depto_sec
- Differentiate along depto_sec
- Take differences along depto_sec
RMS (root mean square with mean *not* removed) over depto_sec |
RMSA (root mean square with mean removed) over depto_sec |
Maximum over depto_sec |
Minimum over depto_sec |
Detrend (best-fit-line) over depto_sec |
Note on units