Scikit-mobility

Scikit-mobility is a library for human mobility analysis in Python. The library allows to: represent trajectories and mobility flows with proper data structures, TrajDataFrame and FlowDataFrame; manage and manipulate mobility data of various formats (call detail records, GPS data, data from Location Based Social Networks, survey data, etc.); extract human mobility metrics and patterns from data, both at individual and collective level (e.g., length of displacements, characteristic distance, origin-destination matrix, etc.); generate synthetic individual trajectories using standard mathematical models (random walk models, exploration and preferential return model, etc.); generate synthetic mobility flows using standard migration models (gravity model, radiation model, etc.); assess the privacy risk associated with a mobility dataset.

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Additional Info
Field Value
Accessibility Both
AccessibilityMode API Access
Application URI https://github.com/scikit-mobility/scikit-mobility
Area
Attribution requirements
Basic rights Making available to the public
CreationDate 2019-12-17
Creator Pappalardo, Luca, lucapappalardo1984@gmail.com, orcid.org/0000-0002-1547-6007
Dependencies on Other SW
Distribution requirements
Field/Scope of use Non-commercial only
Hosting Environment
IP/Copyrights
License term /Not specified
Owner Pappalardo, Luca, lucapappalardo1984@gmail.com, orcid.org/0000-0002-1547-6007
ProgrammingLanguage
RelatedPaper
Requirement of non-disclosure (confidentiality mark)
Restrictions on use
Semantic Coverage
Sublicense rights No
Territory of use World Wide
ThematicCluster Human Mobility Analytics
UsageMode as-a-Service by SoBigData Infrastructure
input
output
system:type SoBigData.eu: Application
Management Info
Field Value
Author PELLUNGRINI ROBERTO
Maintainer PELLUNGRINI ROBERTO
Version 1
Last Updated 17 December 2019, 15:14 (CET)
Created 17 December 2019, 15:14 (CET)