README.md
October 14, 2024 · View on GitHub
"bivariatemaps"
R Package with functions developed over 10+ years at: https://rfunctions.blogspot.com
Simple example of usage:
# Load these packages (if not installed, use “install.packages()”):
library(classInt)library(classInt)
library(raster)
library(dismo)
library(XML)
library(maps)
library(sp)
library(geodata)
library(bivariatemaps)
# Use ‘geodata’ to download temperature and precipitation rasters:
bclim <- worldclim_global(var="tavg", res=10, path=tempdir())bclim2 <- worldclim_global(var="prec", res=10, path=tempdir())
# Use ‘bivariatemaps’ package to generate color matrix and bivariate map:
col.matrix<-colmat(nquantiles=10, upperleft="blue", upperright="green", bottomleft="grey", bottomright="red")bivmap<-bivariate.map(bclim,bclim2, colormatrix=col.matrix, nquantiles=10)