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Peru VITO VCI VCI: Vegetation Condition Index data
Peru VITO VCI Vegetation Condition Index from SOURCES: the ANA collection of climate data.Independent Variables (Grids)
- Time
- grid: /T (days since 1960-01-01) ordered [ (1-10 Jan 2013) (11-20 Jan 2013) (21-31 Jan 2013) ... (21-31 May 2025)] N= 447 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (86.0045W) to (66.067W) by 0.008928572 N= 2234 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (1.15625N) to (19.03125S) by 0.008928572 N= 2262 pts :grid
Other Info
- CE
- 100
- colorscalename
- colores_VCI
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- NaN
- scale_max
- 100.0
- scale_min
- 0.0
- units
- percent
- valid_range
- [ 0 200 ]
- standard units*
- 0.01
- colorscale
Last updated: Fri, 15 Dec 2017 19:57:54 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| T | X | Y | |
 Peru VITO VCI VCI[ X Y | T] | M | 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 X Y T
- Differentiate along X Y T
- Take differences along X Y T
RMS (root mean square with mean *not* removed) over X Y T | X Y X T Y T | X Y T |
RMSA (root mean square with mean removed) over X Y T | X Y X T Y T | X Y T |
Maximum over X Y T | X Y X T Y T | X Y T |
Minimum over X Y T | X Y X T Y T | X Y T |
Detrend (best-fit-line) over X Y T | X Y X T Y T | X Y T |
Note on units