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root mean sq mean [ MGAP SNIG UsoSuelo TdeL ] : Tierras de labranza data
TdeL TdeL TdeL Tierras de labranza from MGAP SNIG UsoSuelo: Uso del Suelo segun Declaraciones Juradas (Sujeto a revision de DICOSE). isIndependent Variables (Grids)
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- pointwidth
- 12.0
- units
- hectare
- standard units*
- 10000 meter2
- history
- root mean sq mean [ MGAP SNIG UsoSuelo TdeL ]
- Averaged over T[2005, 2014] minimum 0.0% data present
Averaged over depto_sec[, ] minimum 0.0% data present
- Averaged over T[2005, 2014] minimum 0.0% data present
Last updated: Thu, 31 Mar 2016 19:52:20 GMT
Data Views
 doc[] |
| MGAP SNIG UsoSuelo[MA
NM-TOTAL
NM-SZ
CM
H_F_V
SUPGAN
CN
the_geom
label
NM-SD
NM-Praderas
CF
CFA
TUS
TdeL
NM-SC
NM-CNF
praderas
] |
 root mean sq mean [ MGAP SNIG UsoSuelo TdeL ] [ |] |
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
- Differentiate along
- Take differences along
RMS (root mean square with mean *not* removed) over
RMSA (root mean square with mean removed) over
Maximum over
Minimum over
Detrend (best-fit-line) over
Note on units