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TimeseriesPrediction

Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis

https://github.com/juliadynamics/timeseriesprediction.jl

Science Score: 18.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.9%) to scientific vocabulary

Keywords

chaos dynamics julia nonlinear prediction timeseries

Keywords from Contributors

graphics julialang physics nonlinear-dynamics mathematics lyapunov fractal-dimension entropy dynamical-systems delay-coordinates
Last synced: 6 months ago · JSON representation ·

Repository

Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis

Basic Info
  • Host: GitHub
  • Owner: JuliaDynamics
  • License: mit
  • Language: Julia
  • Default Branch: master
  • Size: 3.29 MB
Statistics
  • Stars: 112
  • Watchers: 6
  • Forks: 9
  • Open Issues: 21
  • Releases: 0
Topics
chaos dynamics julia nonlinear prediction timeseries
Created almost 8 years ago · Last pushed almost 4 years ago
Metadata Files
Readme Contributing License Citation

README.md

TimeseriesPredition.jl logo

| Documentation | Travis | AppVeyor | Gitter | |:--------:|:-------------------:|:-----:|:-----:| | | Build Status | Build status | Gitter

Repository for predicting timeseries using methods from nonlinear dynamics and timeseries analysis. It uses DelayEmbeddings.

Kuramoto-Sivashinsky example

Kuramoto-Sivashinsky Prediction

This example performs a temporal prediction of the Kuramoto-Sivashinsky model. It is a one-dimensional system with the spatial dimension shown on the x-axis and its temporal evolution along the y-axis. The algorithm makes iterative predictions into the future that stay similar to the true evolution for a while but eventually diverge.

Owner

  • Name: JuliaDynamics
  • Login: JuliaDynamics
  • Kind: organization

A Julia-based software organization for dynamical systems, nonlinear dynamics, complex systems and the complexities of the scientific life

Citation (CITATION.bib) 

@article{Isensee2019,
  doi = {10.1007/s00332-019-09588-7},
  url = {https://doi.org/10.1007/s00332-019-09588-7},
  year = {2019},
  month = oct,
  publisher = {Springer Science and Business Media {LLC}},
  volume = {30},
  number = {3},
  pages = {713--735},
  author = {Jonas Isensee and George Datseris and Ulrich Parlitz},
  title = {Predicting Spatio-temporal Time Series Using Dimension Reduced Local States},
  journal = {Journal of Nonlinear Science}
}

GitHub Events

Total
  • Watch event: 5
Last Year
  • Watch event: 5

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 319
  • Total Committers: 6
  • Avg Commits per committer: 53.167
  • Development Distribution Score (DDS): 0.295
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Jonas Isensee j****e@w****e 225
George Datseris d****e@g****m 88
JonasIsensee 3****e 3
femtocleaner[bot] f****] 1
Rik Huijzer r****r@p****e 1
Julia TagBot 5****t 1
Committer Domains (Top 20 + Academic)
pm.me: 1

Issues and Pull Requests

Last synced: 8 months ago

All Time
  • Total issues: 55
  • Total pull requests: 42
  • Average time to close issues: 25 days
  • Average time to close pull requests: 17 days
  • Total issue authors: 8
  • Total pull request authors: 4
  • Average comments per issue: 1.71
  • Average comments per pull request: 2.24
  • Merged pull requests: 38
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Datseris (28)
  • JonasIsensee (21)
  • chene-vert (1)
  • sandrotruttmann (1)
  • uozden (1)
  • wangtieqiao (1)
  • attobot (1)
  • JuliaTagBot (1)
Pull Request Authors
  • JonasIsensee (32)
  • Datseris (8)
  • rikhuijzer (1)
  • JuliaTagBot (1)
Top Labels
Issue Labels
enhancement (15) documentation (10) wanted feature (8) big project (5) testing (5) hard (4) bug (4) good first issue (3) optional (3) Hacktoberfest (3) performance (2) low priority (2) high priority (2) necessary (2) in progress (2) decision (1) help wanted (1) clarity (1)
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 8
juliahub.com: TimeseriesPrediction

Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis

  • Versions: 8
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Stargazers count: 7.2%
Dependent repos count: 9.9%
Forks count: 14.9%
Average: 17.7%
Dependent packages count: 38.9%
Last synced: 6 months ago

Dependencies

REQUIRE julia
  • DelayEmbeddings *
  • IterTools *
  • MultivariateStats 0.06
  • NearestNeighbors 0.1.0
  • Parameters *
  • Reexport *
  • StaticArrays 0.5.0
  • StatsBase 0.8.2
  • julia 1.0
test/REQUIRE julia
  • DynamicalSystemsBase *