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root mean sq [ MGAP IPA PPNA_UFFIP_desde_08-2015 tasa_promedio ]: Tasa promedio data
tasa_promedio Tasa promedio from MGAP IPA PPNA_UFFIP_desde_08-2015: PPNA predios UFFIP.Independent Variables (Grids)
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Aug 2015) to (Jan 2016) by 1.0 N= 6 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- pointwidth
- 1.0
- units
- kg /hectare /day
- standard units*
- 1.15740740740741×10-09 kilogram meter-2 second-1
- history
- Averaged over id_lote[0.5, 174.5] minimum 0.0% data present
Last updated: Wed, 19 Oct 2016 17:49:56 GMT
Data Views
Views
line plots
color bars
scatter
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 T
- Differentiate along T
- Take differences along T
RMS (root mean square with mean *not* removed) over T |
RMSA (root mean square with mean removed) over T |
Maximum over T |
Minimum over T |
Detrend (best-fit-line) over T |
Note on units