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Ethiopia ASIS ASI: Agricultural Stress Index data
Agricultural Stress Index from Ethiopia ASIS: Agricultural Stress Index System.Independent Variables (Grids)
- Crop ID
- grid: /crop_id (ids) ordered (1) to (4) by 1.0 N= 4 pts :grid
- Season ID
- grid: /season_id (ids) ordered (1) to (2) N= 2 pts :grid
- Time (time)
- grid: /T (months since 1960-01-01) ordered (1985) to (2020) by 12.0 N= 36 pts :grid
- Longitude (longitude)
- grid: /X (degree_east) ordered (33E) to (48.12E) by 0.009 N= 1681 pts :grid
- Latitude (latitude)
- grid: /Y (degree_north) ordered (3.39N) to (14.991N) by 0.009 N= 1290 pts :grid
Other Info
- CE
- 100
- CS
- 0
- datatype
- realarraytype
- maxncolor
- 254
- missing_value
- -3.39999995E38
- pointwidth
- 1.0
- scale_max
- 100.0
- scale_min
- 0.0
- units
- percent
- standard units*
- 0.01
- colorscale
Last updated: Fri, 27 Jan 2023 13:17:09 GMT
Data Views
Views
data as colors
data as contours
colors with land
contours with land
colors with coasts| crop_id | season_id | T | X | Y | |
 Ethiopia ASIS ASI[ X Y T | season_id crop_id] | M | M | 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 season_id crop_id
- Differentiate along X Y T season_id crop_id
- Take differences along X Y T season_id crop_id
RMS (root mean square with mean *not* removed) over X Y T season_id crop_id | X Y X T X season_id X crop_id Y T Y season_id Y crop_id T season_id T crop_id season_id crop_id | X Y T X Y season_id X Y crop_id X T season_id X T crop_id X season_id crop_id Y T season_id Y T crop_id Y season_id crop_id T season_id crop_id | X Y T season_id X Y T crop_id X Y season_id crop_id X T season_id crop_id Y T season_id crop_id | X Y T season_id crop_id |
RMSA (root mean square with mean removed) over X Y T season_id crop_id | X Y X T X season_id X crop_id Y T Y season_id Y crop_id T season_id T crop_id season_id crop_id | X Y T X Y season_id X Y crop_id X T season_id X T crop_id X season_id crop_id Y T season_id Y T crop_id Y season_id crop_id T season_id crop_id | X Y T season_id X Y T crop_id X Y season_id crop_id X T season_id crop_id Y T season_id crop_id | X Y T season_id crop_id |
Maximum over X Y T season_id crop_id | X Y X T X season_id X crop_id Y T Y season_id Y crop_id T season_id T crop_id season_id crop_id | X Y T X Y season_id X Y crop_id X T season_id X T crop_id X season_id crop_id Y T season_id Y T crop_id Y season_id crop_id T season_id crop_id | X Y T season_id X Y T crop_id X Y season_id crop_id X T season_id crop_id Y T season_id crop_id | X Y T season_id crop_id |
Minimum over X Y T season_id crop_id | X Y X T X season_id X crop_id Y T Y season_id Y crop_id T season_id T crop_id season_id crop_id | X Y T X Y season_id X Y crop_id X T season_id X T crop_id X season_id crop_id Y T season_id Y T crop_id Y season_id crop_id T season_id crop_id | X Y T season_id X Y T crop_id X Y season_id crop_id X T season_id crop_id Y T season_id crop_id | X Y T season_id crop_id |
Detrend (best-fit-line) over X Y T season_id crop_id | X Y X T X season_id X crop_id Y T Y season_id Y crop_id T season_id T crop_id season_id crop_id | X Y T X Y season_id X Y crop_id X T season_id X T crop_id X season_id crop_id Y T season_id Y T crop_id Y season_id crop_id T season_id crop_id | X Y T season_id X Y T crop_id X Y season_id crop_id X T season_id crop_id Y T season_id crop_id | X Y T season_id crop_id |
Note on units