geovoronoi | a package to create and plot Voronoi regions | Map library
kandi X-RAY | geovoronoi Summary
kandi X-RAY | geovoronoi Summary
geovoronoi helps generating Voronoi regions for geographic data, for example coordinates of public universities in a certain country. This in turn may be used to estimate some kind of "coverage". The usage is not confined to geographic data, though. This package allows you to generate finite Voronoi regions inside any valid surrounding polygonal shape. The main function of this package, voronoi_regions_from_coords(), takes a list of coordinates and calculates the Voronoi regions from them using SciPy. At the edges, these regions go to infinity. We can then take the shape of the surrounding area (e.g. the shape of a country as polygon) to cut the Voronoi regions so that they fit into the provided shape, making the regions at the edges finite. geovoronoi uses shapely for these operations. The package furthermore implements some functions for easy plotting of the resulting Voronoi regions.
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Top functions reviewed by kandi - BETA
- Plot polygon with polygon polygon polygon
- Generate a set of colors for a given region and region
- Assign points to a region
- Return a color for the given label
- Generate a list of n colors
- Compute the x y coordinates from a numpy array
- Plot a polygon collection
- Plot points
- Plot a list of Voronoi polygons
- Calculate Voronoi regions from a list of coordinates
- Generate polygon polygons from Voronoi
- Convert list of points to coordinates
- Convert coords to points
- R Determine the intersection of a line segment
- Create a matplotlib subplots
- Calculates the area of each polygon polygon polygon
- Plot a line
- Convert coords to Point objects
- Converts a list of points to coordinates
geovoronoi Key Features
geovoronoi Examples and Code Snippets
Community Discussions
Trending Discussions on geovoronoi
QUESTION
I'm trying to create the voronoi diagram of a map of North America, which means effectively slicing the country into pieces based on the location of its capitals. To do so, I'm using Geopandas to get the geographic data on North America, and then using the GeoVoronoi library to create a Voronoi diagram out of that:
...ANSWER
Answered 2020-Mar-01 at 19:36The error you are receiving arises from the fact that the city info you are pulling contains few cities North America or that they are not properly being recognized as within the boundaries of North America. Your question is about creating a Voronoi diagram based on capitals so I have included a link to a data set for US capitals so that you can test an example with a reliable number of cities:
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