https://github.com/zejiang-unsw/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
prediction transformation wavelet
Last synced: 4 months ago
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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.]
- Host: GitHub
- URL: https://github.com/zejiang-unsw/wasp
- Owner: zejiang-unsw
- Created: 2020-03-17T03:04:44.000Z (over 6 years ago)
- Default Branch: devel
- Last Pushed: 2024-12-19T23:11:13.000Z (over 1 year ago)
- Last Synced: 2025-10-10T15:29:09.801Z (9 months ago)
- Topics: prediction, transformation, wavelet
- Language: R
- Homepage: https://cran.r-project.org/web/packages/WASP/
- Size: 85.9 MB
- Stars: 10
- Watchers: 1
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: NEWS.md
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README
# 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](https://github.com/) 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](https://doi.org/10.1016/J.JHYDROL.2021.126816)
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](https://doi.org/10.1016/j.envsoft.2020.104907)
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](https://doi.org/10.1029/2019WR026962)