Correlation Matrix for Bioclimatic Variables

This document describes the code used to plot a correlation matrix of bioclimatic layers for use in climate envelope modeling.

This project uses the following non-standard library (corrplot):

library("corrplot")

and read in our correlation matrix:

Corr_Present <- read.delim("/Volumes/~hellmann/!Hellmann lab data/Personal_Documents/Jason_Docs/Hellmann Lab/R/Correlation_Matrix/Corr_Present.txt", 
    header = F)
View(Corr_Present)

## Error: X11 dataentry cannot be loaded

Next, we want to assign descriptive variable names:

colnames(Corr_Present) <- c("Mean_Temp", "Diurnal_Range", "Isothermality (Bio2/Bio7)", 
    "Temp_Seasonality (STDEV*100)", "Max_Temp_Warmest_Month", "Min_Temp_Warmest_Month", 
    "Temp_Annual_Range (Bio5-Bio6)", "Mean_Temp_Wettest_Quarter", "Mean_Temp_Driest_Quarter", 
    "Mean_Temp_Warmest_Quarter", "Mean_Temp_Coldest_Quarter", "Annual_Precip", 
    "Precip_Wettest_Month", "Precip_Driest_Month", "Precip_Seasonality", "Precip_Wettest_Quarter", 
    "Precip_Driest_Quarter", "Precip_Warmest_Quarter", "Precip_Coldest_Quarter")

Finally, we want to plot the correlation matrix:

corrplot(cor(Corr_Present))