Hurricane Data Analysis

HURDAT_mapping.r

## Code was compiled by Paul Julian
## contact infor: pjulian@ufl.edu

#Libraries
library(HURDAT)
library(plyr)
library(sp)
library(tmap)

#Projection
nad83.pro=CRS("+init=epsg:4269");# I assumed NAD83 projection

# Hurricane_TropcialStorm -------------------------------------------------
hur.dat=get_hurdat(basin = c("AL"))

#Convert XY data to points
hur.dat.sp.pt=SpatialPointsDataFrame(coords=hur.dat[,c("Lon","Lat")],data=hur.dat,proj4string = CRS("+init=epsg:4269"))

#Convert SpatialPointsDataFrame to SpatialLinesDataFrame data
hur.dat2=hur.dat
hur.id=ddply(hur.dat2,c("Key","Name"),summarise,N.val=length(which(Key!="NA")))
hur.dat2=subset(hur.dat2,Key%in%subset(hur.id,N.val>1)$Key)# Can't draw a line with only one point. 
coordinates(hur.dat2)=c("Lon","Lat")
hur.dat2=hur.dat2[order(hur.dat2$Key,hur.dat2$DateTime),];#reorders the data accordingly
path=split(hur.dat2,hur.dat2$Key)
sp_lines=SpatialLinesDataFrame(SpatialLines(list(Lines(list(Line(path[[1]])),unique(path[[1]]@data$Key))),CRS("+init=epsg:4269")),data.frame(row.names=hur.id$Key,Key=hur.id$Key,Name=hur.id$Name))
pb=txtProgressBar(1,max=length(path),style=3);#progress bar
for(i in 2:length(path)){
  tmp=SpatialLinesDataFrame(SpatialLines(list(Lines(list(Line(path[[i]])),unique(path[[i]]@data$Key))),CRS("+init=epsg:4269")),data.frame(row.names=hur.id$Key,Key=hur.id$Key,Name=hur.id$Name))
  sp_lines=rbind(sp_lines,tmp)
  setTxtProgressBar(pb,i)
}
tm_shape(sp_lines)+tm_lines(col="Key")


## Explore the yearly occurance of hurricanes
hur.dat$Year=as.numeric(format(hur.dat$date,"%Y"))
hur.year=ddply(hur.dat,c("Key","Name"),summarise,Year.start=min(Year,na.rm=T),max.wind=max(Wind,na.rm=T),min.pres=min(Pressure,na.rm=T))
sp_lines=merge(sp_lines,hur.year,by.x=c("Key","Name"),by.y=c("Key","Name"))

tmap_mode("view")
tm_shape(hur.tck)+tm_lines(col="Year.start",breaks=seq(1851,2017,20))

Fixed line 22. This gives a count of all points from any given hurricane track and only counts numbers (i.e. something not "NA").