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MGAP IPA PPNA_UFFIP area climatology: Area (ha) data
area Area (ha) from MGAP IPA PPNA_UFFIP: PPNA predios UFFIP.Independent Variables (Grids)
- id_lote
- grid: /id_lote (unitless) ordered (1) to (220) by 1.0 N= 220 pts :grid
- Time (time)
- grid: /T (months since 01-Jan) periodic (Mar) to (Feb) by 1.0 N= 12 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- units
- hectare
- standard units*
- 10000 meter2
- history
- Averaged over T2[Mar 2000 - Feb 2001, Mar 2016 - Feb 2017] minimum 0.0% data present
Last updated: Tue, 27 Jun 2017 15:57:17 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| id_lote | T | |
 doc[] | ||
| MGAP IPA PPNA_UFFIP[region
tasa_promedio
lote
grupo
the_geom
label
area
id_campo
] | ||
 MGAP IPA PPNA_UFFIP area climatology[ 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