Human-Mobility-Analysis | crowd level human mobility analysis based on trajectory data
kandi X-RAY | Human-Mobility-Analysis Summary
kandi X-RAY | Human-Mobility-Analysis Summary
Human-Mobility-Analysis is a JavaScript library. Human-Mobility-Analysis has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
A toolkit and models for individual and crowd level human mobility analysis based on trajectory data, including travel destination prediction, travel spatiotemporal and semantic features calculations (e.g., entropy, radius of gyration, motif ratio, travel rhythm, etc), driving characters and dispositions.
A toolkit and models for individual and crowd level human mobility analysis based on trajectory data, including travel destination prediction, travel spatiotemporal and semantic features calculations (e.g., entropy, radius of gyration, motif ratio, travel rhythm, etc), driving characters and dispositions.
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Support
Human-Mobility-Analysis has a low active ecosystem.
It has 12 star(s) with 9 fork(s). There are 2 watchers for this library.
It had no major release in the last 6 months.
Human-Mobility-Analysis has no issues reported. There are 6 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of Human-Mobility-Analysis is current.
Quality
Human-Mobility-Analysis has no bugs reported.
Security
Human-Mobility-Analysis has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
Human-Mobility-Analysis does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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Human-Mobility-Analysis releases are not available. You will need to build from source code and install.
Installation instructions are not available. Examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed Human-Mobility-Analysis and discovered the below as its top functions. This is intended to give you an instant insight into Human-Mobility-Analysis implemented functionality, and help decide if they suit your requirements.
- Train Iters
- Evaluate loss
- Takes two strings
- Evaluate a random prediction
- Load features from TTS sampling
- R Calculates the k distance of a mesh
- Compute internal consistency
- Calculates the correlation coefficient
- Split random sampling
- Read a csv file
- Compute the item discrimination
- Calculate features in TTS
- Generate a csv file
- Calculate the maximum distance between two locations
- Calculates the entropy of a datetime distribution
- Compute the loss function
- Calculates the entropy of a sequence
- Generate trajectories
- Prepare the data
- Calculate the score for a given model
- Calculates the entropy of a time - of - day time - of - day
- Calculates the score of the model
- Evaluate a random network
- Compute the steering behavior
- Calculate distance from home location
- Splits the data split into two trajectories
Get all kandi verified functions for this library.
Human-Mobility-Analysis Key Features
No Key Features are available at this moment for Human-Mobility-Analysis.
Human-Mobility-Analysis Examples and Code Snippets
No Code Snippets are available at this moment for Human-Mobility-Analysis.
Community Discussions
No Community Discussions are available at this moment for Human-Mobility-Analysis.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Human-Mobility-Analysis
You can download it from GitHub.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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