Voronoi Cartogram¶

A Voronoi tesselation cartogram where US States are represented by Voronoi cells whose areas are proportional to population. Uses carto_flow.voronoi_cartogram.create_voronoi_cartogram.

Load dataset and run the morphing algorithm.

import matplotlib

matplotlib.use("Agg")
import matplotlib.pyplot as plt

import carto_flow.data as examples
import carto_flow.voronoi_cartogram as vor

us_states = examples.load_us_census(population=True)

# compute Voronoi cartogram
result = vor.create_voronoi_cartogram(
    us_states,
    weights="Population",
    backend=vor.RasterBackend(resolution=256, boundary=vor.ElasticBoundary(strength=0.02), adjacency_spring=0.2),
    options=vor.VoronoiOptions(n_iter=100, show_progress=False),
)

Plot the cartogram.

_, ax = plt.subplots(1, 1, figsize=(10, 6))

p = result.plot(
    "Population (Millions)",
    ax=ax,
    vmin=0,
    vmax=40,
    legend=True,
    legend_kwds={"shrink": 0.6, "label": "Population (Millions)"},
    cmap="RdYlGn_r",
    show_edges=True,
)

p.ax.set(title="Cartogram of US States by Population")
p.ax.axis("off")

plt.tight_layout()

Cartogram of US States by Population

Total running time of the script: ( 0 minutes 5.934 seconds)

Download Python source code: plot_voronoi_cartogram.py

Download Jupyter notebook: plot_voronoi_cartogram.ipynb

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