Tag Archives: R for climate

Time series

Interannual variation of OND rainfall Data: download #Read data b.data <- read.table(“timeseries.csv”, header=T,fill=T) # Scatterplot Matrices from the glus Package attach(mtcars) #library(gclus) library(scatterplot3d) attach(b.data) # TIMESERIES1 plot(Rainfall~Year, cex = 1, col = “blue”, type=”o”, pch=19, ylab=”Rainfall in mm”, main = “Oct-Dec rainfall variation from 1960 to 2000”)

Scatterplot 2D

Data:download R Script par(mar=c(5,6,4,3)+0.1) # set marigin b.data <- read.table(“3dscatterogram.csv”, header=T,fill=T) # read input data attach(b.data) plot(Rainfall, SOI_O, main=”Scatterplot Rainfall Vs SOI_O (1960-2000)”, xlab=”Rainfall in mm”, ylab=”SOI”, pch=19) # plot function # Fit planes abline(lm(Rainfall~SOI_O), col=”red”) # regression line (y~x) lines(lowess(Rainfall,SOI_O), col=”blue”) # lowess line (x,y)

Scatterogram 3D

Data: download #Read input data b.data <- read.table(“3dscatterogram.csv”, header=T,fill=T) # call scatterplot3d package library(scatterplot3d) attach(b.data) # simple 3d scatterplot scatterplot3d(SOI_O,Rainfall,SLP_O, main=”3D Scatterplot”) # 3d scatterplot with Fit planes s3d <-scatterplot3d(SOI_O,SLP_O,Rainfall, pch=16, highlight.3d=TRUE, type=”h”, main=”3D Scatterplot”) fit <- lm(Rainfall ~ SOI_O+SLP_O) s3d$plane3d(fit)