data: NiMet WASP queriesENACTS statequery exp1

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NiMet WASP queriesENACTS statequery exp1_year

NiMet WASP queriesENACTS statequery exp1_year.

Independent Variables (Grids)

State info: grid: /province (ids) unordered [ (Abia) (Abuja) (Adamawa) (Akwa Ibom) (Anambra) (Bauchi) (Bayelsa) (Benue) (Borno) (Cross River) (Delta) (Ebonyi) (Edo) (Ekiti) (Enugu) (Gombe) (Imo) (Jigawa) (Kaduna) (Kano) (Katsina) (Kebbi) (Kogi) (Kwara) (Lagos) (Nassarawa) (Niger) (Ogun) (Ondo) (Osun) (Oyo) (Plateau) (Rivers) (Sokoto) (Taraba) (Yobe) (Zamfara)] :grid

Other Info

bufferwordsize: 4
datatype: integerarraytype
PGtype: int4
units: unitless

Last updated: Tue, 13 Aug 2024 08:17:43 GMT

Data Views

	district	province
NiMet WASP queriesENACTS[labaseline_full countryquery sabaseline_full statequery caENACTS-last_WASP12 saENACTS-last_WASP12 cabaseline_full lgasquery laENACTS-last_WASP12 ]
NiMet WASP queriesENACTS lgasquery adm2_name[ \| district]	M
NiMet WASP queriesENACTS statequery exp1_year[ \| 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