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∂province ∫dprovince [ NiMet WASP queriesENACTS statequery gid ] : ∂province data
∂province ∫dprovince [ NiMet WASP queriesENACTS statequery gid ] .Independent Variables (Grids)
- province
- grid: /province (ids) unordered [ () (Abuja) (Adamawa) (Akwa Ibom) (0a'0a') (ko East) () (Benue) (Borno) (0a'0a') (0a'0a') ( ) ( w) (AUTHORITY["EPSG","4326"]]) (') (k ) (j ) (Jigawa) (Kaduna) (0a'0a') (0a'0a') ( ) (Kogi) (Kwara) (\i ) (0a'0a') (0a'0a') (Ogun) (Ondo) (Osun) (Oyo) (Plateau) (Rivers) (Sokoto) (Taraba) (') (Zamfara)] :grid
Other Info
- CE
- null
- CS
- null
- datatype
- realarraytype
- PGtype
- int4
- units
- unitless ids /ids
Last updated: Tue, 13 Aug 2024 08:17:43 GMT
Data Views
Views
line plots
color bars
scatter| district | province | |
 NiMet WASP queriesENACTS[cabaseline_full
caENACTS-last_WASP12
statequery
lgasquery
countryquery
laENACTS-last_WASP12
labaseline_full
sabaseline_full
saENACTS-last_WASP12
] | ||
| NiMet WASP queriesENACTS lgasquery status[ | district] | M | |
|---|---|---|
 $partialdiff sub province$ $integral dprovince$ [ NiMet WASP queriesENACTS statequery gid ] [ | province] | 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 province
- Differentiate along province
- Take differences along province
RMS (root mean square with mean *not* removed) over province |
RMSA (root mean square with mean removed) over province |
Maximum over province |
Minimum over province |
Detrend (best-fit-line) over province |
Note on units