Author Archives: ssjothiganesh@gmail.com

Constructing a hypothetical scenario for a historical statement on long term landscape changes..

The followers of Sri Ramalingam alias Vallalar might be aware of Vallalar’s statement “One day, Vadalur will become Cuddalore”. I have been thinking for long time, what it means? The towns Vadalur and Cuddalore belong to South Arcot district (figure-1) until early 1990s, in Tamil Nadu province, India. Since the South Arcot district is very […]

19th Century Climate Scientist’s article on “Formation of rains”

Sri Ramalingam’s piece of work during 19th century on “how rain forms” is an extra-ordinary scientific work considering the time he had written without even having a primary school education. May be this piece of work is to clarify the doubt among the people on “how rain comes?”, as people had a wrong belief (according […]

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)

Scatterogram matrix

Data: Download R Script b.data <- read.table(“scatterogram.csv”, header=T,fill=T) # Scatterplot Matrices from the glus Package library(gclus) # call gclus package dta <- b.data[c(5,4,3,2)] # get data dta.r <- abs(cor(dta)) # get correlations dta.col <- dmat.color(dta.r) # get colors # reorder variables so those with highest correlation # are closest to the diagonal dta.o <- order.single(dta.r) […]

Box plots

Data: Download R Script #Read input data b.data <- read.table(“boxplot.csv”, header=T,fill=T) # Plot boxplot in single color #boxplot(b.data,ylab =”Rainfall in mm”, las = 2, at =c(1,2,3,4,5), names = c(“Trichy”,”Cuddalore”,”Mettur”,”Naga”,”Salem”)) # Plot boxplot in multi color boxplot(b.data,ylab =”Rainfall in mm”, col = c(“red”,”sienna”,”palevioletred1″,”royalblue2″,”orange”),las = 2, at =c(1,2,3,4,5), names = c(“Trichy”,”Cuddalore”,”Mettur”,”Naga”,”Salem”),boxwex = 0.5, notch = T) # Add […]

Veeranam tank – A Chola’s water management plan in 10th Century is worth more than 200 million US$ in 2014

Veeranam tank/lake, was built by the famous Chola king Rajadityan son of Paranthaka Cholan during 10th century AD, is one of the classical example of Chola’s water management plan. This lake stores the excess water from the tributaries of Cauvery River flowing into Bay of Bengal and supports the region for agriculture activities. This lake protects […]

Spiritual journey

“Spiritual life answers unanswered questions about mystical origin, development and function of this universe”   (Sunset in Bali Island) Spiritual pathways is to achieve eternal blissful life. Linking the common elements between the human’s life and universal life makes possible to attain it. Saint vallalar says “Whatever exists in the universe, it do exists in our […]