served from dlibrary.snia.gub.uy
∂depto_sec [ MGAP SNIG UsoSuelo MA ]: ∂depto_sec Montes artificiales data
MA partial_depto_sec partial_depto_sec ∂depto_sec Montes artificiales from MGAP SNIG UsoSuelo: Uso del Suelo segun Declaraciones Juradas (Sujeto a revision de DICOSE).Independent Variables (Grids)
- depto_sec
- grid: /depto_sec (ids) unordered [ (0102) (0103) (0104) ... (15)] N= 274 pts :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (Jul 2005 - Jun 2006) to (Jul 2013 - Jun 2014) by 12.0 N= 9 pts :grid
Other Info
- bufferwordsize
- 4
- datatype
- realarraytype
- file_missing_value
- -9999.0
- missing_value
- NaN
- pointwidth
- 12.0
- units
- hectare /ids
Last updated: Thu, 31 Mar 2016 19:52:20 GMT
Data Views
Views
data as colors
data as contours
line plots
color bars| depto_sec | T | |
 MGAP SNIG UsoSuelo[NM-SZ
H_F_V
SUPGAN
NM-TOTAL
CN
CM
the_geom
NM-SD
label
NM-Praderas
CFA
CF
TUS
TdeL
NM-SC
MA
NM-CNF
praderas
] | ||
 $partialdiff sub depto_sec$ [ MGAP SNIG UsoSuelo MA ][ depto_sec | 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 depto_sec T
- Differentiate along depto_sec T
- Take differences along depto_sec T
RMS (root mean square with mean *not* removed) over depto_sec T | depto_sec T |
RMSA (root mean square with mean removed) over depto_sec T | depto_sec T |
Maximum over depto_sec T | depto_sec T |
Minimum over depto_sec T | depto_sec T |
Detrend (best-fit-line) over depto_sec T | depto_sec T |
Note on units