aggregateHalfDegreeGridToCountries: Aggregates global half degree gridded data to countries

In rworldmap: Mapping Global Data

Aggregates global half degree gridded data to countries

Description

Aggregates global half degree gridded data to countries (options for sum, mean, min, max ). Uses a very simple grid map defining a single country identity for each half degree cell. (other more sophisticated approaches dividing cells between multiple countries will be investigated in future). The country identity at each cell is specified in data(gridCountriesDegreesHalf).

Usage

aggregateHalfDegreeGridToCountries(inFile = "", aggregateOption = "sum")

Arguments

inFile	either a gridascii filename or an sp SpatialGridDataFrame object specifying a global half degree grid dataset
aggregateOption	how to aggregate the data ('sum','mean','min','max')

Value

a dataframe with 2 columns : numeric country codes and the aggregated value for each country

Author(s)

andy south #@importFrom maptools readAsciiGrid

See Also

mapHalfDegreeGridToCountries

Examples

data(gridExData,envir=environment(),package="rworldmap")
gridExData <- get("gridExData")
#aggregating the gridded data to countries
dF <- aggregateHalfDegreeGridToCountries(gridExData)
#joining the aggregated data to a country map
sPDF <- joinCountryData2Map(dF, nameJoinColumn='UN', joinCode='UN')
#plotting the map
mapCountryData(sPDF,nameColumnToPlot='sum_pa2000.asc')

rworldmap documentation built on Oct. 16, 2023, 5:07 p.m.