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WASP

WAvelet System Prediction [Jiang, Z., Sharma, A., & Johnson, F. (2020). Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling. Water Resources Research, 56(3), e2019WR026962.]

https://github.com/zejiang-unsw/wasp

Science Score: 26.0%

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

  • ○
    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ○
    .zenodo.json file
  • ✓
    DOI references
    Found 6 DOI reference(s) in README
  • ○
    Academic publication links
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (7.6%) to scientific vocabulary

Keywords

prediction transformation wavelet
Last synced: 6 months ago · JSON representation

Repository

WAvelet System Prediction [Jiang, Z., Sharma, A., & Johnson, F. (2020). Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling. Water Resources Research, 56(3), e2019WR026962.]

Basic Info
Statistics
  • Stars: 10
  • Watchers: 1
  • Forks: 2
  • Open Issues: 0
  • Releases: 6
Topics
prediction transformation wavelet
Created almost 6 years ago · Last pushed about 1 year ago
Metadata Files
Readme Changelog

README.md

WASP

An open-source wavelet tool for improving prediction accuracy for natural system models.

The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy.

Requirements

Dependencies:
  waveslim, stats, tidyr, ggplot2, sp

Suggest:
    zoo, readr,
    cowplot, SPEI, FNN, 
    NPRED, synthesis, fitdistrplus

Installation

You can install the package via devtools from GitHub with:

r devtools::install_github("zejiang-unsw/WASP", dependencies = TRUE)

or via CRAN with:

r install.packages("WASP")

Citation

Jiang, Z., Sharma, A., & Johnson, F. (2021). Variable transformations in the spectral domain – Implications for hydrologic forecasting. Journal of Hydrology, 603, 126816. doi

Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020). A wavelet-based tool to modulate variance in predictors: an application to predicting drought anomalies. Environmental Modelling & Software, 135, 104907. doi

Jiang, Z., Sharma, A., & Johnson, F. (2020). Refining Predictor Spectral Representation Using Wavelet Theory for Improved Natural System Modeling. Water Resources Research, 56(3), e2019WR026962. doi

Owner

  • Name: Ze Jiang
  • Login: zejiang-unsw
  • Kind: user
  • Location: Sydney, Australia
  • Company: UNSW

Postdoctoral Research Fellow in the School of Civil and Environmental Engineering's Water Research Centre (WRC) at University of NSW

GitHub Events

Total
  • Watch event: 1
  • Push event: 1
Last Year
  • Watch event: 1
  • Push event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 109
  • Total Committers: 1
  • Avg Commits per committer: 109.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 5
  • Committers: 1
  • Avg Commits per committer: 5.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
zejiang-unsw 4****w 109

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 1
  • Total pull requests: 4
  • Average time to close issues: over 2 years
  • Average time to close pull requests: 9 minutes
  • Total issue authors: 1
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 3
  • 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
  • zejiang-unsw (1)
Pull Request Authors
  • zejiang-unsw (4)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 699 last-month
  • Total docker downloads: 41,971
  • Total dependent packages: 2
  • Total dependent repositories: 2
  • Total versions: 5
  • Total maintainers: 1
cran.r-project.org: WASP

Wavelet System Prediction

  • Versions: 5
  • Dependent Packages: 2
  • Dependent Repositories: 2
  • Downloads: 699 Last month
  • Docker Downloads: 41,971
Rankings
Docker downloads count: 0.6%
Dependent packages count: 13.6%
Average: 15.4%
Forks count: 17.0%
Dependent repos count: 19.1%
Stargazers count: 19.3%
Downloads: 22.5%
Maintainers (1)
ze.jiang@unsw.edu.au
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.6.0 depends
  • ggplot2 * imports
  • rlang >= 1.0.0 imports
  • sp * imports
  • stats * imports
  • tidyr * imports
  • waveslim * imports
  • FNN * suggests
  • NPRED * suggests
  • SPEI * suggests
  • bookdown * suggests
  • cowplot * suggests
  • fitdistrplus * suggests
  • gridGraphics * suggests
  • kableExtra * suggests
  • knitr * suggests
  • readr * suggests
  • rmarkdown * suggests
  • synthesis * suggests
  • testthat * suggests
  • zoo * suggests