Views provided by UsageCounts
Published at https://anaconda.org/conda-forge/movingpandas New features: 15 First trajectory smoothing algorithm: Kalman filter with constant velocity model based on StoneSoup 128 First spatiotemporal trajectory generalization algorithm: Top-Down Time Ratio algorithm proposed by Meratnia & de By (2004) ported from MovinPy 129 First trajectory cleaning algorithm: Outlier cleaner ported from MovinPy 165 New convenience function showing library versions Includes fixes and enhancements for: 152 Faster length of the diagonal of the minimum rotated rectangle 151 Customizable speed column name 147 Filter TrajectoryCollection by trajectory duration 124 Add option for splitting trajectories by hour 160 Faster TrajectoryCollection aggregation Behind the scenes: We have moved testing from Travis to Github Actions Sources are now linted using flake8 and black
| selected citations These citations are derived from selected sources. 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 55 |

Views provided by UsageCounts