Haversine.jl
Haversine (Great Circle) distance tools for Julia
This project contains helper geospatial tools using Haversine which assume a perfectly spherical earth to compute special geospatial functions. All the functions included are using pairwise distance and will require mapping to work on arrays. Contributions are welcome, submit a PR and I will review it as soon as I can.
HaversineDistance
This uses the great circle distance to find the approximate distance between two coordinates assuming a perfectly spherical earth
using Haversine
p1 = [1, 2] # (lon, lat) in degrees
p2 = [3, 4]
# returns distance in meters
HaversineDistance(p1, p2)
>>> 314283.25507368386HaversineBearing
This returns the bearing/heading between from point 1 to point 2 in degrees
using Haversine
p1 = [1, 2] # (lon, lat) in degrees
p2 = [3, 4]
# returns heading in degrees
HaversineBearing(p1, p2)
>>> 44.91272645906142HaversineDestination
Given a point, bearing, and distance, show the coordinates of the final destination
using Haversine
p = [1, 2] # (lon, lat) in degrees
θ = 30 # heading in degrees
d = 2 # distance in meters
# returns destination coordinates as Array[lon, lat]
HaversineDestination(p, θ, d)
>>> 2-element Array{Float64,1}:
>>> 1.0000089986979082
>>> 2.000015576707113Broadcasting
All functions as of version 1.0.0 can now support broadcasting. Arguments can broadcast to support array-like inputs
using Haversine
p = [5, 4] # initial location
θ = [30, 60] # multiple headings
d = [10, 900000] # destination for each heading
HaversineDestination(p, θ, d)
>>> 2-element Array{Array{Float64,1},1}:
>>> [5.000045075887166, 4.0000778835344555]
>>> [12.072951161820168, 8.006647216172182]using Haversine
p1 = [[1, 2], [3, 4]] # multiple points
p2 = [[5, 1], [0, 9]]
HaversineBearing(p1, p2)
>>> 2-element Array{Float64,1}:
>>> 126.81261556373533
>>> -11.186184406292147