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MGAP IPA PPNA_UFFIP_desde_08-2015 tasa_promedio: Tasa promedio data
Tasa promedio from MGAP IPA PPNA_UFFIP_desde_08-2015: PPNA predios UFFIP.Independent Variables (Grids)
- id_lote
- grid: /id_lote (unitless) ordered (1.0) to (174.0) by 1.0 N= 174 pts :grid
- 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
- 4
- datatype
- realarraytype
- missing_value
- -9999.0
- pointwidth
- 1.0
- units
- kg /hectare /day
- standard units*
- 1.15740740740741×10-09 kilogram meter-2 second-1
Last updated: Wed, 19 Oct 2016 17:49:56 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| id_lote | T | |
 MGAP IPA PPNA_UFFIP_desde_08-2015 tasa_promedio[ id_lote | T] | M | M |
|---|
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 id_lote T
- Differentiate along id_lote T
- Take differences along id_lote T
RMS (root mean square with mean *not* removed) over id_lote T | id_lote T |
RMSA (root mean square with mean removed) over id_lote T | id_lote T |
Maximum over id_lote T | id_lote T |
Minimum over id_lote T | id_lote T |
Detrend (best-fit-line) over id_lote T | id_lote T |
Note on units