Package: SPIChanges 0.2.1

Gabriel Constantino Blain

SPIChanges: Improves the Interpretation of the Standardized Precipitation Index Under Changing Climate Conditions

Improves the interpretation of the Standardized Precipitation Index under changing climate conditions. The package uses the nonstationary approach proposed in Blain et al. (2022) <doi:10.1002/joc.7550> to detect trends in rainfall quantities and to quantify the effect of such trends on the probability of a drought event occurring.

Authors:Gabriel Constantino Blain [aut, cre], Graciela R. Sobierajski [aut], Leticia L. Martins [aut], Adam H. Sparks [aut]

SPIChanges_0.2.1.tar.gz
SPIChanges_0.2.1.zip(r-4.7-any)SPIChanges_0.2.1.zip(r-4.6-any)SPIChanges_0.2.1.zip(r-4.5-any)
SPIChanges_0.2.1.tgz(r-4.6-any)SPIChanges_0.2.1.tgz(r-4.5-any)
SPIChanges_0.2.1.tar.gz(r-4.7-any)SPIChanges_0.2.1.tar.gz(r-4.6-any)
SPIChanges_0.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SPIChanges/json (API)

# Install 'SPIChanges' in R:
install.packages('SPIChanges', repos = c('https://gabrielblain.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/gabrielblain/spichanges/issues

Datasets:
  • CampinasRain - Daily Rainfall Amounts
  • lonlat - Coordinates for Entire Brazil
  • Map - Changes in Drought Events in Brazil
  • OxfordRain - Daily Rainfall Amounts
  • rainTS4 - Rainfall Aggregated at the 4-quasi week time scale

On CRAN:

Conda:

5.18 score 5 stars 5 scripts 286 downloads 2 exports 40 dependencies

Last updated from:05c1f10586. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK186
source / vignettesOK259
linux-release-x86_64OK238
macos-release-arm64OK167
macos-oldrel-arm64OK211
windows-develOK127
windows-releaseOK121
windows-oldrelOK131
wasm-releaseOK169

Exports:SPIChangesTSaggreg

Dependencies:askpassassertthatbrglm2clicpp11crayoncurlenrichwithgamlssgamlss.datagamlss.distgenericsgluehttrinsightjsonlitelatticelifecyclelubridatemagrittrMASSMatrixmimeMuMInnleqslvnlmennetnumDerivopensslR6rlangspsUtilstatmodstringistringrsurvivalsystimechangevctrszoo

SPIChanges package: Monte Carlo Experiments and Case Studies
Introduction | Monte Carlo Experiments | Monte Carlo Experiment 1 (trend-free rainfall series) | Monte Carlo Experiment 2 (super-imposed trend) | Case Studies Applications | Case Study 1 -- Oxford Rainfall | Analyse Data Looking for Changes | Interpreting the Output Data Fields from the “Oxford.Changes” | $model.selection | $Statistics | Key Observations: | $Changes.Freq.Drought | Summary: | Interpreting the Output Data Fields from the “Oxford.Changes.linear” | $Statistics and $Changes.Freq.Drought | Case Study 2 - Brazil Drought Events | Aggregating daily data into a specified time scale: | Applying the SPIChanges::SPIChanges() for entire Brazil | Assessing changes in severe to moderate drought events | References
Rendered fromCaseStudies.Rmdusingknitr::rmarkdown

Last update: 2025-06-05
Started: 2024-12-15

SPIChanges
Introduction | Getting Started | Data | Function TSaggreg() | Arguments | Value | Example 1 | Function SPIChanges() | Usage | Example 2 | Example 3
Rendered fromSPIChanges.Rmdusingknitr::rmarkdown

Last update: 2025-02-03
Started: 2024-11-26