Visualisation
To inspect the results, a plotting function is included.
Simple plotting
To plot the graph in a matplotlib figure use:
from leuvenmapmatching import visualization as mmviz
mmviz.plot_map(map_con, matcher=matcher,
show_labels=True, show_matching=True, show_graph=True,
filename="my_plot.png")
This will result in the following figure:
You can also define your own figure by passing a matplotlib axis object:
fig, ax = plt.subplots(1, 1)
mmviz.plot_map(map_con, matcher=matcher,
ax=ax,
show_labels=True, show_matching=True, show_graph=True,
filename="my_plot.png")
Plotting with an OpenStreetMap background
The plotting function also supports a link with the smopy
package.
Set the use_osm
argument to true and pass a map that is defined with
latitude-longitude (thus use_latlon=True
).
You can set zoom_path
to true to only see the relevant part and not the
entire map that is available in the map. Alternatively you can also set the
bounding box manually using the bb
argument.
mm_viz.plot_map(map_con, matcher=matcher,
use_osm=True, zoom_path=True,
show_labels=False, show_matching=True, show_graph=False,
filename="my_osm_plot.png")
This will result in the following figure:
Or when some GPS points are missing in the track, the matching is more visible as the matched route deviates from the straight line between two GPS points: