droughtR

An R package for non-stationary meteorological drought monitoring.
https://github.com/mammask/droughtr

Category: Natural Resources
Sub Category: Soil and Land

Keywords

bias bias-correction forecasting hydrology time-series

Last synced: about 18 hours ago
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Repository metadata

An R package for non-stationary meteorological drought monitoring

• Host: GitHub
• URL: https://github.com/mammask/droughtr
• Owner: mammask
• License: other
• Created: 2021-08-19T18:04:13.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-02-23T10:42:58.000Z (about 1 year ago)
• Last Synced: 2024-10-29T22:30:01.833Z (6 months ago)
• Topics: bias, bias-correction, forecasting, hydrology, time-series
• Language: R
• Homepage:
• Size: 7.03 MB
• Stars: 9
• Watchers: 1
• Forks: 4
• Open Issues: 0
• Releases: 3
• Metadata Files:
  • Readme: README.Rmd
  • License: LICENSE

README.Rmd

          ---
title: "droughtR"
link-citations: true
bibliography: references.bib
output: github_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE,
                      collapse = TRUE,
                      comment = "#>",
                      fig.path = "man/figures/README-"
)
```


[![DOI](https://zenodo.org/badge/398032827.svg)](https://zenodo.org/doi/10.5281/zenodo.10009276)

[![codecov](https://codecov.io/gh/mammask/droughtR/graph/badge.svg?token=WYHK9P2NXP)](https://codecov.io/gh/mammask/droughtR)



The goal of `droughtR` is to enable meteorological drought monitoring by generating non-stationary drought indices under various distributional assumptions (Normal, Gamma, Zero Inflated Gamma and Weibull). It computes the stationary (SPI) and the non-stationary (NSPI) Standardized Precipitation Indices using General Additive Models for Location Scale and Shape (GAMLSS). 



```{r, echo = FALSE}
knitr::opts_chunk$set(
  fig.path = "README_figs/README-"
)
```

## Installation

```{r, eval=FALSE}
# Install the development version on Github
devtools::install_github("mammask/droughtR")
```

## Usage

### Generate SPI and NSPI

The function `computenspi` creates stationary and non-stationary meteorological drought indices at different time scales. By default, droughtR uses the gamma distribution:

```{r, eval=TRUE, fig.height=3, fig.width=9, fig.align='center'}
# Load droughtR library
library(droughtR)

# Generate synthetic monthly rainfall data using the Gamma distribution
rain = dummyrainfall(startYear = 1950, endYear = 2010)

# Compute the non-stationary standardized precipitation index (NSPI) for scale 12 using GAMLSS
nonstatdrought = computenspi(x = rain, stationaryspi = FALSE, spiScale = 12, dist = 'gamma')

# Plot NSPI
plot(nonstatdrought)
```

```{r, fig.height=3, fig.width=9, fig.align='center'}
# Compute the stationary standardized precipitation index (NSPI) for scale 12 using GAMLSS and the weibull distribution
statdrought = computenspi(x = rain, stationaryspi = TRUE, spiScale = 12, dist = 'weibull')

# Plot SPI 
plot(statdrought)
```










































































































        

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Owner metadata

• Name: Kostas Mammas
• Login: mammask
• Email:
• Kind: user
• Description: Director Regional Analytics, EMEA | Statistical Programmer | Time Series Forecasting
• Website: www.linkedin.com/in/konstantinos-mammas
• Location: Rhodes, Greece
• Twitter:
• Company: IQVIA
• Icon url: https://avatars.githubusercontent.com/u/6765849?u=44d76062b31a74a66aed8eee1daae516db61342b&v=4
• Repositories: 1
• Last ynced at: 2023-10-11T11:27:15.653Z
• Profile URL: https://github.com/mammask

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Committers metadata

Last synced: 6 days ago

Name	Email	Commits
Mammas	k****s@i****m	27
Kostas Mammas	m****k@l****m	22

Committer domains:

• iqvia.com: 1

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Last synced: 2 days ago

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/mammask/droughtr

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