data: $integral dprovince$ [ NiMet WASP queriesENACTS statequery adm0

served from maproom.nimet.gov.ng

∫dprovince [ NiMet WASP queriesENACTS statequery adm0_code ]

∫dprovince [ NiMet WASP queriesENACTS statequery adm0_code ].

Independent Variables (Grids)

province: grid: /province (ids) unordered [ (Abia) (0a�'0a�') (0a�'0a�') (m) (0a�'0a�') (0a�'0a�') (0a�'0a�') (0a�'0a�') (0a�'0a�') (ver) (Ј� ) (0a�'0a�') (0a�'0a�') (0a�'0a�') (@h� ) (0a�'0a�') (6F7B) (2D15) (7174) (A309) (E356) (F9FA) (2C3C) (F8EE) (AA2B) (a) (1321) (62D9) (1815) (as province,* from g2015_2014_1 where adm1_name is not null and adm0_name~'Nigeria' order by adm1_name)as mybquery) as ivarq;) (��() (q�() (0a�'0a�') (�a�'�a�'�PC) (0a�'0a�'0a�') (0a�'0a�'0a�') (0a�'0a�'0a�') (0a�'0a�'0a�')] :grid

Other Info

bufferwordsize: 8
CE: null
CS: null
datatype: doublearraytype
PGtype: int4
units: unitless ids

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

Data Views

	province
NiMet WASP queriesENACTS statequery[adm1_code coarse_geom status str1_year disp_area adm0_code adm0_name shape_leng exp1_year shape_area gid the_geom adm1_name ]
NiMet WASP queriesENACTS statequery gid[ \| province]	D
$integral dprovince$ [ NiMet WASP queriesENACTS statequery adm0_code ][ \| 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