Last data update: 2014.03.03

R: US Tornado Touchdown Data
tornadosR Documentation

US Tornado Touchdown Data

Description

Data set from NOAA's National Weather Service Indianapolis, IN Weather Forecast Office 6900 W. Hanna Ave.

Usage

 
data(tornados)
torn
torn2 

Format

  • torn Tornado Touchdown points SpatialPointsDataFrame - geographical projection

  • torn2 Tornado Touchdown points SpatialPointsDataFrame - equal area projection

Source

http://www.crh.noaa.gov/ind/?n=svrgis

Examples

# Read in the data
data(tornados)
# Split the plot in two
par(mfrow=c(2,1))
# Plot US states
plot(us_states)
# Add Locations of observation stations
plot(torn,add=TRUE,pch=16,col='red')
# Plot a histogram of year of observation next to this
hist(torn$YEAR)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(GISTools)
Loading required package: maptools
Loading required package: sp
Checking rgeos availability: TRUE
Loading required package: RColorBrewer
Loading required package: MASS
Loading required package: rgeos
rgeos version: 0.3-19, (SVN revision 524)
 GEOS runtime version: 3.5.0-CAPI-1.9.0 r4084 
 Linking to sp version: 1.2-3 
 Polygon checking: TRUE 

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GISTools/tornados.Rd_%03d_medium.png", width=480, height=480)
> ### Name: tornados
> ### Title: US Tornado Touchdown Data
> ### Aliases: tornados torn torn2
> 
> ### ** Examples
> 
> # Read in the data
> data(tornados)
> # Split the plot in two
> par(mfrow=c(2,1))
> # Plot US states
> plot(us_states)
> # Add Locations of observation stations
> plot(torn,add=TRUE,pch=16,col='red')
> # Plot a histogram of year of observation next to this
> hist(torn$YEAR)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>