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∂depto_sec root mean sq anom [ MGAP SNIG ExGa UG-Ha_OvyBov ] : ∂depto_sec UG/Ha OVINOS Y BOVINOS data
UG-Ha_OvyBov UG-Ha_OvyBov ∂depto_sec UG/Ha OVINOS Y BOVINOS from MGAP SNIG ExGa: Existencias de bovinos y ovinos segun Declaraciones Juradas (Sujeto a revision de DICOSE).Independent Variables (Grids)
- depto_sec
- grid: /depto_sec (ids) unordered [ () () () ... ()] N= 275 pts :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- pointwidth
- 12.0
- units
- unitless /ids
- history
- Averaged over T[2005, 2014] minimum 0.0% data present
Last updated: Thu, 04 Feb 2016 15:18:09 GMT
Data Views
Views
line plots
color bars
scatter| depto_sec | |
 doc[] | |
| MGAP SNIG ExGa[OvejasConsumo
toros
Capones
Mamones
Nov2-3
Ovi_Tot
Corderas_DL
NovMas3
Corderos_DL
Nov1-2
UGTotBovinos
UG-Ha_soloBov
the_geom
Vaq1-2
label
UG-Ha_OvyBov
UGTotOvyBov
Bov_Tot
UGTotOvinos
tern
VaqMas2
OvejasCria
VC
Borregas2-4D
VI
carneros
] | |
 $partialdiff sub depto_sec$ root mean sq anom [ MGAP SNIG ExGa UG-Ha_OvyBov ] [ depto_sec |] | 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 depto_sec
- Differentiate along depto_sec
- Take differences along depto_sec
RMS (root mean square with mean *not* removed) over depto_sec |
RMSA (root mean square with mean removed) over depto_sec |
Maximum over depto_sec |
Minimum over depto_sec |
Detrend (best-fit-line) over depto_sec |
Note on units