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For the sake of distance Places can be viewed as a set of point in a constrained region
This can lead to two interpretation: voronoi and delaunay triangulation
When we evaluate nearest place essentially we are asking in which cell of the corresponding voronoi diagram that location is placed.
A view of the region of the voronoi diagram can be handy in some debug visualizations
WordCloud could be improved by expanding his word inside all of the voronoi cell area without intersecting other cells
voronoi cell can be added as polygon as an additional field and evaluate when a place is inserted
NOTE: is always fast to check distances than if a point is inside a cell/polygon
For the sake of distance Places can be viewed as a set of point in a constrained region
This can lead to two interpretation: voronoi and delaunay triangulation
When we evaluate nearest place essentially we are asking in which cell of the corresponding voronoi diagram that location is placed.
NOTE: is always fast to check distances than if a point is inside a cell/polygon
Reference: https://en.wikipedia.org/wiki/Voronoi_diagram
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