Maps user half degree gridded data at country level by first aggregating.

Description

Maps user half degree gridded data at country level by first aggregating.

Usage

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mapHalfDegreeGridToCountries(inFile = "", aggregateOption = "sum",
  nameCountryColumn = "", suggestForFailedCodes = FALSE, projection = NA,
  mapResolution = "low", numCats = 7, xlim = c(-160, 160), ylim = c(-80,
  90), mapRegion = "world", catMethod = "quantiles",
  colourPalette = "heat", addLegend = TRUE, lwd = 0.5)

Arguments

inFile

either a gridascii filename or an sp SpatialGridDataFrame object specifying a global half degree grid dataset, if none specified an internal example data is used

aggregateOption

how to aggregate the data ('sum','mean','min','max')

nameCountryColumn

optional name of column containing country names (used in reporting of success/failure)

suggestForFailedCodes

T/F whether you want system to suggest for failed codes NOT YET WORKING

projection

deprecated june 2012

mapResolution

options low, medium, only for projection='none' initially

numCats

number of categories, may be overided e.g. if catMethod ='pretty'

xlim

map extents c(west,east), can be overidden by mapRegion

ylim

map extents c(south,north), can be overidden by mapRegion

mapRegion

'world','africa','oceania','eurasia','uk' sets map extents, overrides we,ea etc.

catMethod

method for categorisation of data "pretty", any vector defining breaks, "fixedWidth","quantiles"

colourPalette

"heat","white2Black","palette":for current palette

addLegend

whether to add a legend or not T/F

lwd

line width for country borders

Details

Aggregates half degree gridded data to countries using the option specified in 'aggregateOption' then maps at a country level.

Value

invisibly returns a list containing the data and main options used for the map, the list can be passed to addMapLegend along with additional options to allow greater flexibility in legend creation.

Author(s)

andy south

See Also

aggregateHalfDegreeGridToCountries

Examples

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data(gridExData,envir=environment(),package="rworldmap")
gridExData <- get("gridExData")
mapHalfDegreeGridToCountries(gridExData)             

#different aggregate option
mapHalfDegreeGridToCountries( gridExData, aggregateOption="mean" )

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