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RAM - Rainfall Analysis Malawi QGIS 4 compatibility
Not QGIS 4 ready Active
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
Rainfall extraction, mapping, SPI/RAI/PCI indices, and trend analysis for Malawi using CHIRPS data via Google Earth Engine.
About
Extracts CHIRPS rainfall for a point or an AOI (district/custom polygon loaded from a user shapefile/GeoPackage) via the Google Earth Engine Python API. Exports point time series to CSV, and loads AOI rainfall directly as a raster layer in the QGIS map canvas (with an optional Google Drive export for AOIs too large for direct download). Computes SPI (1/3/6/12), RAI, and PCI, and runs Mann-Kendall/Sen's-slope trend analysis. Also accepts a user-supplied CSV of ground-station monthly rainfall for side-by-side comparison with CHIRPS.
| Author | Mussa Umali |
|---|---|
| Downloads | 153 |
| Latest version | 0.3.0 |
| Last updated | 2026-07-20 (88 days ago) |
| Min QGIS | 3.16.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Active |
| Categories | Remote sensing, Hydrology & water, Spatial analysis |
| Tags | drought, chirps, pci, rainfall, climate, google earth engine, spi, mann-kendall, ram, malawi, rai |
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Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.