p4Calc: P4. Temperature seasonality
In BioCalc: Bioclim Variables Calculator

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

Calculates the temperature seasonality (coefficient of variation) based upon monthly data

1	p4Calc(rlist, outfile, format='')

`rlist`	A list of rasters from 1 to 12 corresponding to mean temperatures
`outfile`	Name of the output file
`format`	The format of your input files. Can be GRD, ASCII, BIL...

The list of rasters can be generated via the LoadMonthlyFiles function of this package. This function is based upon several features of the raster package (available at sourceforge.net). Application of the functions take very long since they are cell-by-cell calculations (when not enough space in memory is available). So, any efficient contributions would be very useful.

A RasterLayer object with temperature seasonality, plus a file containing the data

Julian Ramirez, dawnpatrolmustaine@gmail.com

Busby J.R. 1991. BIOCLIM: a bioclimatic analysis and prediction system. In C.R. Margules, M.P. Austin, eds. Nature conservation: cost effective biological surveys and data analysis, pp. 64, 68. Canberra, Australia, Commonwealth Scientific and Industrial Research Organisation (CSIRO).

BioCalc, LoadMonthlyFiles

# Folder where your data is stored (in ascii format, for example)
# dir <- "C://MyMonthlyData//"
#
# Load the files
# rasterlist <- LoadMonthlyFiles(dir, ext='.asc', varbl='tmean', format='ascii')
#
# Now calculate the bioclimatic variable
# outputfile <- "C://MyOutput//P4.asc"
# p4 <- p4Calc(rasterlist, outputfile, format='ascii')
#