Aggregates global half degree gridded data to countries

Share:

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

1
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

See Also

mapHalfDegreeGridToCountries

Examples

1
2
3
4
5
6
7
8
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')

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.