data: IRI EPPF catch yearly human

served from IRI/LDEO Climate Data Library

IRI EPPF catch yearly human_consumption ports: Catch for Indirect Human Consumption by Port: 1968-1995 data

catch yearly human_consumption Catch for Indirect Human Consumption by Port: 1968-1995 from IRI EPPF: Fisheries data from the Pacific Coast of South America.

Independent Variables (Grids)

port: grid: /port (ids) unordered [ (Ilo) (San_Juan) (Pisco) (Callao) (Central_Area) (Don_Martin) (Chimbote) (Trujillo) (Chicama) (Paita) (Talara) (Tumbes) (La_Libertad) (Peru)] :grid
time: grid: /T (months since 1960-01-01) ordered (16 Dec 1949 - 15 Dec 1950) to (16 Dec 1995 - 15 Dec 1996) by 12.0 N= 47 pts :grid

Other Info

datatype: realarraytype
missing_value: NaN
units: number

References

Csirke, J., R. Guevara, G. Cárdenas,M. Ñiquen, and A. Chipollini. 1996. Situación de los recursos anchoveta (Engraulis ringens) y sardina (Sardinops sagax) a principios de 1994 y perspectivas para la pesca en el Perú, con especial referencia a la región norte-centro de la costa peruana. Bol. Inst. Mar Perú-Callao. 15 (1): 23 pp.

Last updated: Mon, 16 Feb 2015 21:51:22 GMT

Data Views

	port	T
IRI EPPF catch yearly human_consumption ports[ T \| port]	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 T port
Differentiate along T port
Take differences along T port