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∂feature_id [ Features Political Africa Districts prov_na ]: ∂feature_id data
Districts prov_na ∂feature_id from Features Political Africa: Africa 1st and 2nd Order Administrative Boundaries.Independent Variables (Grids)
- feature_id
- grid: /feature_id (unitless) ordered [ (101.5) (102.5) (103.5) ... (2.5101000E+08)] N= 3895 pts :grid
Other Info
- datatype
- realarraytype
- PGtype
- varchar
- units
- ids
Last updated: Fri, 12 Jun 2015 18:59:27 GMT
Data Views
Views
line plots
color bars
scatter| feature_id | |
 grid: /feature_id (unitless) ordered [ (101.5) (102.5) (103.5) ... (2.5101000E+08)] N= 3895 pts :grid | M |
|---|---|
 $partialdiff sub feature_id$ [ Features Political Africa Districts prov_na ][ | feature_id] | 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 feature_id
- Differentiate along feature_id
- Take differences along feature_id
RMS (root mean square with mean *not* removed) over feature_id |
RMSA (root mean square with mean removed) over feature_id |
Maximum over feature_id |
Minimum over feature_id |
Detrend (best-fit-line) over feature_id |
Note on units