metaclipR.loadeR: Directed metadata graph construction for loadeR outputs

Description Usage Arguments Details Value Author(s) References See Also

Description

Build a directed metadata graph from loadeR outputs, that are subsets (and possibly aggregations and/or climate indices) of Datasets.

Usage

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metaclipR.loadeR(package = "loadeR", version = "1.4.0", graph, fun = NULL,
  arg.list = NULL, index.name = "none", output = NULL)

Arguments

package

loading climate4R package. Default to "loadeR" (but see argument fun)

version

package version

graph

A previously initialized metaclipR output list ($graph + $parentnodename).

fun

function name. Default to "loadGridData", but other loading functions are accepted, namely loadStationData from package loadeR, loadECOMS, from package loadeR.ECOMS or loadValueStations and loadValuePredictions from package R.VALUE.

arg.list

arg.list. See details

index.name

Xharacter string (default to "none"). In case of using loadGridData, it exists the possibility of applying filters to monthly aggregations, leading to specific climate indices with particular names. Some of these are instances of the ds:ClimateIndex class (e.g. "SU", for the ETCCDI index 'summer days'). An overview of already existing indices see knownClassIndividuals("ClimateIndex").

output

A climate4R grid, resulting from the application of the specified fun function. The name of the grid is passed as a character string

Details

This function takes as reference the semantics defined in the Data Source and Transformation ontology defined in the Metaclip Framework (http://metaclip.predictia.es/).

Value

A named list with the updated graph in element graph and the terminal node in parentnodename, needed for linking subsequent operations.

Argument list

A list of arguments passed to fun is required. The different arguments are explained in the the help menu of the corresponding functions. The following list need to be specified. The default values are also indicated:

Author(s)

D. San Martín, J. Bedia

References

The METACLIP web page at Predictia

Climate4R page at University of Cantabria

See Also

Other subsetting: metaclipR.DatasetSubset


Predictia/metaclipR documentation built on May 14, 2019, 6:07 a.m.