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Software . 2022
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TransBigData: A Python package for transportation spatio-temporal big data processing, analysis and visualization

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 02 Mar 2022 English Publisher:Zenodo
Authors: Yu, Qing; Yuan, Jian;
Code repository: https://github.com/ni1o1/transbigdata/tree/v0.3.7

doi: 10.5281/zenodo.6236507 , 10.5281/zenodo.5912101

TransBigData: A Python package for transportation spatio-temporal big data processing, analysis and visualization

Abstract

Published at https://anaconda.org/conda-forge/transbigdata/ TransBigData is a Python package developed for transportation spatio-temporal big data processing, analysis and visualization. TransBigData provides fast and concise methods for processing common transportation spatio-temporal big data such as Taxi GPS data, bicycle sharing data and bus GPS data. TransBigData provides a variety of processing methods for each stage of transportation spatio-temporal big data analysis. The code with TransBigData is clean, efficient, flexible, and easy to use, allowing complex data tasks to be achieved with concise code.

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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