This is a plotting companion for the OpenStreetMapX.jl package.
The package provides to plotting mechanisms for map vizualization:
Plots.jlwith GR as a back-end
- plotting directly to
PyPlot.jl(please note that due to slower painting speed this option is reasonable only for small maps up to few thousand nodes)
The current version has been tested with Julia 1.3.1 and Julia 1.5.0
using Pkg pkg"add OpenStreetMapX" pkg"add OpenStreetMapXPlot"
We will show a full scenario including routing. Let us start by preparing the data and calculating a sample route.
using OpenStreetMapX pth = joinpath(dirname(pathof(OpenStreetMapX)),"..","test","data","reno_east3.osm") m = get_map_data(pth,use_cache = false); import Random Random.seed!(0); pointA = point_to_nodes(generate_point_in_bounds(m), m) pointB = point_to_nodes(generate_point_in_bounds(m), m) sr = shortest_route(m, pointA, pointB)
Once the map data is in the memory we can start plotting. Let us start with
Plots.jl with a
GR back-end (this is the recommended approach due to GR's plotting speed, however due to Julia compiling process time-to-the-first-plot is around one minute, while subsequent plots can be created within few seconds).
using OpenStreetMapXPlot import Plots Plots.gr() p = OpenStreetMapXPlot.plotmap(m,width=600,height=400); addroute!(p,m,sr;route_color="red"); plot_nodes!(p,m,[sr,sr[end]],start_numbering_from=nothing,fontsize=13,color="pink"); p
Now, let us paint the same route using the plain
using OpenStreetMapXPlot import PyPlot p=OpenStreetMapXPlot.plotmap(m,width=600,height=400,use_plain_pyplot=true); addroute!(p,m,sr;route_color="red"); plot_nodes!(p,m,[sr,sr[end]],start_numbering_from=nothing,fontsize=13,color="pink");
Note that when using
PyPlot.jl in Atom, depending on your configuration you might need to add
PyPlot.display_figs() to actually see the figure
This code is a major re-write of plotting functionality of https://github.com/tedsteiner/OpenStreetMap.jl project. The creation of this source code was partially financed by research project supported by the Ontario Centres of Excellence ("OCE") under Voucher for Innovation and Productivity (VIP) program, OCE Project Number: 30293, project name: "Agent-based simulation modelling of out-of-home advertising viewing opportunity conducted in cooperation with Environics Analytics of Toronto, Canada.