douglas_peucker 0.0.4

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polyline simplification it uses a combination of Douglas-Peucker and Radial Distance algorithms. Polyline simplification dramatically reduces the number of points in a polyline while retaining its sh

Stable versions of douglas_peucker

Version Uploaded Documentation Archive
0.0.4 Jul 8, 2019 Go to the documentation of douglas_peucker 0.0.4 Download douglas_peucker 0.0.4 archive
0.0.3 Jul 8, 2019 Go to the documentation of douglas_peucker 0.0.3 Download douglas_peucker 0.0.3 archive
0.0.2 Jul 8, 2019 Go to the documentation of douglas_peucker 0.0.2 Download douglas_peucker 0.0.2 archive
0.0.1 Jul 8, 2019 Go to the documentation of douglas_peucker 0.0.1 Download douglas_peucker 0.0.1 archive
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polyline simplification it uses a combination of Douglas-Peucker and Radial Distance algorithms. Polyline simplification dramatically reduces the number of points in a polyline while retaining its shape, giving a huge performance boost when processing it and also reducing visual noise. For example, it's essential when rendering a 70k-points line chart or a map route in the browser using Canvas or SVG.

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dsmr.apps@gmail.com

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MIT (LICENSE)

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