The "Dorian Distribution"

Among all the other strange and scary characteristics of Dorian, there is something very centered and normative about the distribution of its path.  Note that the Google Earth Pro jpg on the left probably suffers from plotting on a globe (e.g. curved surface). Also, the satellite/jet readings are regular intervals so obviously once the storm was in the gulf stream, Dorian moved much faster. I would feign to construct a pentagram over the path of Dorian's geometry, but that doesn't sound very statistical.  Click to enlarge the chart. R code and data below. 

# data extracted: # https://www.nrlmry.navy.mil/tcdat/tc19/ATL/05L.DORIAN/kml/2019_ATL_05L.main.kml
# after loading into Google Earth Pro save the "Dorian Track Line" component as kml.
# ("DorianTrackLine.kml")
# Data listed far below:

library(data.table)
library(rgdal)
# library(sp) # if necessary
# This foo will probably work for any NRL track line. 
# I cannot locate where I found the original top function now.

allKmlLayers = function(x){
  lyr = ogrListLayers(x)
  mykml = listmy()
  for (i in 1:length(lyr)) {
    mykml[i] = readOGR(x,lyr[i])
  }
  names(mykml) = lyr
  return(mykml)
}

allKmlLayers = function(x){
  lyr = ogrListLayers(x)
  mykml = list()
  for (i in 1:length(lyr)) {
    mykml[i] = readOGR(x,lyr[i])
  }
  names(mykml) = lyr
  return(mykml)
}

x = "DorianTrackLine.kml"
mykml = allKmlLayers(x)

dev.new();
setnames(Map(as.data.table,
(rbind(Reduce(as.matrix,coordinates((mykml$Layer))))))[[1]],
c("long","lat"))[][,plot(lat,long,xlim =c(0,60),ylim=c(-30,-90))]
abline(v=30)
abline(h=-60)

setnames(Map(as.data.table,(rbind(Reduce(as.matrix,coordinates((mykml$Layer))))))[[1]],c("long","lat"))[]

# output
cat('
     long  lat
 1: -55.5 51.6
 2: -58.5 50.6
 3: -60.4 49.4
 4: -61.9 47.6
 5: -62.9 45.2
 6: -64.6 42.8
 7: -66.9 40.9
 8: -69.1 38.8
 9: -71.2 37.5
10: -73.7 36.3
11: -75.7 35.1
12: -76.9 34.1
13: -77.9 33.4
14: -78.9 32.7
15: -79.2 32.1
16: -79.6 31.4
17: -79.7 31.0
18: -79.7 30.2
19: -79.6 29.5
20: -79.2 28.8
21: -78.8 28.1
22: -78.7 27.5
23: -78.4 27.1
24: -78.4 26.9
25: -78.4 26.8
26: -78.4 26.8
27: -78.2 26.7
28: -78.1 26.6
29: -77.7 26.6
30: -77.1 26.5
31: -76.5 26.5
32: -75.6 26.4
33: -74.7 26.2
34: -74.0 26.1
35: -73.0 25.9
36: -72.1 25.7
37: -71.0 25.3
38: -70.3 24.8
39: -69.4 24.2
40: -68.8 23.5
41: -68.0 22.8
42: -67.4 22.1
43: -66.9 21.0
44: -66.4 20.0
45: -65.7 19.2
46: -65.1 18.3
47: -64.1 17.1
48: -63.5 16.4
49: -62.7 15.8
50: -62.0 15.0
51: -61.3 14.0
52: -60.2 13.3
53: -59.2 13.0
54: -58.3 12.5
55: -57.1 12.1
56: -55.8 11.8
57: -54.7 11.6
58: -53.5 11.4
59: -52.3 11.1
60: -51.0 10.9
61: -49.7 10.8
62: -48.6 10.6
63: -47.4 10.3
     long  lat
')