metaclipR.SkillMap: Directed metadata graph construction for skill Map graphical...
In Predictia/metaclipR: A climate4R extension for METACLIP provenance description

Description Usage Arguments Details Author(s) References See Also

Build a directed metadata graph describing a skill map

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metaclipR.SkillMap(graph, package = "visualizeR", version = "1.1.1",
  input.grid = NULL, fun = "skillMap", arg.list = NULL,
  StipplingInputGraph = NULL, epsg.code = "EPSG:4979")

`graph`	metaclipR output object containing the input grid whose values are to be mapped
`package`	package
`version`	version
`input.grid`	Optional. The input grid passed to the plotting function. Some metadata are extracted from this object if not explicit from the plotting arguments (e.g., the spatial extent of the map).
`fun`	function name. Default to `spatialPlot`, from package `visualizeR`.
`arg.list`	Argument list (A named list in key-value format).
`StipplingInputGraph`	Currently unused. The metaclipR output containing the step from which the stippling is derived (default to `NULL`, and no stippling is indicated)
`epsg.code`	A character string indicating the EPSG code of the map projection. Default to `"4979"` (the most widely used WGS84 proj).

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

D. San Martín, J. Bedia

Visual schema of the graphical product ontology Climate4R page at University of Cantabria

Other graphical.products: metaclipR.AnomalyMap, metaclipR.EnsoPlume, metaclipR.SpatialPlot

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