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Pypolyline

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 12 Dec 2021Publisher:Zenodo
Authors: Hügel, Stephan;

doi: 10.5281/zenodo.6405759 , 10.5281/zenodo.7764810 , 10.5281/zenodo.11110848 , 10.5281/zenodo.8407343 , 10.5281/zenodo.11187757 , 10.5281/zenodo.6093718 , 10.5281/zenodo.11110306 , 10.5281/zenodo.11110053 , 10.5281/zenodo.6093916 , 10.5281/zenodo.8396757 , 10.5281/zenodo.12666941 , 10.5281/zenodo.5752314 , 10.5281/zenodo.13914153 , 10.5281/zenodo.11110203 , 10.5281/zenodo.7628539 , 10.5281/zenodo.8396678 , 10.5281/zenodo.8396867 , 10.5281/zenodo.11188107 , 10.5281/zenodo.6554592 , 10.5281/zenodo.7725601 , 10.5281/zenodo.11187979

Abstract

Pypolyline: a Python library for Google Polyline encoding and decoding

If you use this software, please cite it using these metadata.

Keywords

polyline, geo, gis

  • BIP!
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visibility
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
0
Average
Average
Average
7