served from dlibrary.snia.gub.uy
root mean sq [ ∂Region ( MGAP IPA PPNA promedio ) climatology ]: ∂Region Promedio data
promedio promedio partial_Region partial_Region ∂Region Promedio from MGAP IPA PPNA: PPNA mensual.Independent Variables (Grids)
- Region
- grid: /Region (ids) ordered (2) to (10) by 1.0 N= 9 pts :grid
Other Info
- bufferwordsize
- 8
- CE
- null
- CS
- null
- datatype
- doublearraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- units
- unitless /ids
- history
- root mean sq [ $partialdiff sub Region$ ( MGAP IPA PPNA promedio ) climatology ]
- Averaged over T2[Mar 2000 - Feb 2001, Mar 2016 - Feb 2017] minimum 0.0% data present
Averaged over T[Mar, Feb] minimum 0.0% data present
- Averaged over T2[Mar 2000 - Feb 2001, Mar 2016 - Feb 2017] minimum 0.0% data present
Last updated: Tue, 27 Jun 2017 15:51:03 GMT
Data Views
Views
line plots
color bars
scatter| Region | |
 doc[] | |
| MGAP IPA PPNA[minimo
nombre
the_geom
promedio
label
maximo
desvio
] | |
 root mean sq [ $partialdiff sub Region$ ( MGAP IPA PPNA promedio ) climatology ][ Region |] | 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 Region
- Differentiate along Region
- Take differences along Region
RMS (root mean square with mean *not* removed) over Region |
RMSA (root mean square with mean removed) over Region |
Maximum over Region |
Minimum over Region |
Detrend (best-fit-line) over Region |
Note on units