data: $integral dT$ [ AGRHYMET TERRAIN SAN _bilan CILSS CONSOMMATION_HABITANT Consom

∫dT [ AGRHYMET TERRAIN SAN _bilan CILSS CONSOMMATION_HABITANT Consom_Habit ]: Consommation par habitant data

Consom_Habit Consommation par habitant from AGRHYMET TERRAIN SAN _bilan CILSS CONSOMMATION_HABITANT: Consommation par habitant de 2000 à 2008.

Independent Variables (Grids)

PAYS: grid: /PAYS (ids) unordered [ (Burkina) (CapVert) (Gambie) (GuineeBissau) (Mali) (Mauritanie) (Niger) (Senegal) (Tchad)] :grid
Time (time): grid: /T (months since 1960-01-01) ordered (0000 1 Jan 2000) to (0000 1 Jan 2009) by 12.0 N= 10 pts :grid

Other Info

bufferwordsize: 8
CE: 300
CS: 0
datatype: doublearraytype
file_missing_value: -999
missing_value: NaN
units: months
standard units*: 0.0833333333333333 year

Last updated: Tue, 24 Apr 2018 19:27:11 GMT

Data Views

	PAYS	T
$integral dT$ [ AGRHYMET TERRAIN SAN _bilan CILSS CONSOMMATION_HABITANT Consom_Habit ][ PAYS T \|]	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 PAYS T
Differentiate along PAYS T
Take differences along PAYS T