Overview | Indices implemented | 1 Quick start with the built-in dataset | 2 Using your own data file | 2.1 Loading a CSV | 2.2 Loading an Excel file | 2.3 Annual data (no month grouping) | 2.4 Using the bundled full India dataset | 3 Running individual index functions | 3.1 RAI — Rainfall Anomaly Index | 3.2 MRAI and SRAI | 3.3 SPI — Standardised Precipitation Index | 3.4 SSPI — Simplified SPI (skewness-based) | 3.5 Temperature anomaly | 4 Selecting a subset of indices | 5 Drought classification | 6 Simple time-series plot | 7 Minimum data requirements | References
This package is considered a duplicate. The official version of this package is found at:https://ranjitstat.r-universe.dev/ClimateAnomaly
Package: ClimateAnomaly 1.0.0
Ranjit Kumar Paul
ClimateAnomaly: Rainfall and Temperature Anomaly Indices for Climate Analysis
Computes rainfall anomaly indices and a standardised temperature anomaly from monthly or annual precipitation and temperature data supplied by the user. The rainfall indices are the Rainfall Anomaly Index (RAI; Van Rooy, 1965), the Modified Rainfall Anomaly Index (MRAI) and the Standardized Rainfall Anomaly Index (SRAI) of Ekpetere (2025) <doi:10.1016/j.jenvman.2025.124160>, the Simplified Standardized Precipitation Index (SSPI) of Raziei (2021) <doi:10.1016/j.jhydrol.2021.126761>, and the Standardized Precipitation Index (SPI; McKee et al., 1993). The temperature anomaly is a z-score computed within each calendar month. All indices are computed group-wise, so the user can stratify by any combination of spatial units (state, district, grid cell) and calendar month, and each value can be classified into a descriptive severity class.
Authors:
ClimateAnomaly_1.0.0.tar.gz
ClimateAnomaly_1.0.0.zip(r-4.7-any)ClimateAnomaly_1.0.0.zip(r-4.6-any)
ClimateAnomaly_1.0.0.tar.gz(r-4.7-any)ClimateAnomaly_1.0.0.tar.gz(r-4.6-any)
ClimateAnomaly_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ClimateAnomaly/json (API)
| # Install 'ClimateAnomaly' in R: |
| install.packages('ClimateAnomaly', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- india_monthly - Sample monthly climate data for Indian states
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:a61db0bf17. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 101 | ||
| source / vignettes | OK | 179 | ||
| linux-release | OK | 113 | ||
| windows-devel | OK | 77 | ||
| windows-release | OK | 84 | ||
| wasm-release | OK | 88 |
Exports:calc_all_indicescalc_mraicalc_raicalc_spicalc_sraicalc_sspicalc_temp_anomalyclassify_raiclassify_spiclassify_temp_anomaly
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ClimateAnomaly: Rainfall and Temperature Anomaly Indices for Climate Analysis | ClimateAnomaly-package ClimateAnomaly |
| Compute all rainfall and temperature anomaly indices | calc_all_indices |
| Modified Rainfall Anomaly Index (MRAI) | calc_mrai |
| Rainfall Anomaly Index (RAI) | calc_rai |
| Standardized Precipitation Index (SPI) | calc_spi |
| Standardized Rainfall Anomaly Index (SRAI) | calc_srai |
| Simplified Standardized Precipitation Index (SSPI) | calc_sspi |
| Standardised Temperature Anomaly | calc_temp_anomaly |
| Classify RAI / MRAI / SRAI values | classify_rai |
| Classify SPI / SSPI values | classify_spi |
| Classify temperature anomaly values | classify_temp_anomaly |
| Sample monthly climate data for Indian states (1976-2026) | india_monthly |