{"name": "pypopRF", "package_name": "pypopRF", "description": "A plugin for population prediction and dasymetric mapping using machine learning", "about": "Create gridded population maps from census counts and aligned raster covariates. Calculations run in an isolated 64-bit Python 3.12 environment managed by the plugin. Qualified targets are Windows AMD64 and Linux glibc x86_64; macOS, ARM and musl are not qualified. Initial engine setup downloads locked Python packages; activation never installs packages into QGIS. Census totals are verified separately for every zone. Model validation describes held-out census zones and does not establish pixel-level accuracy. See the packaged guides for installation, updates and validation limits.", "homepage": "https://wpgp.github.io/QGIS-pypopRF", "repository": "https://github.com/wpgp/QGIS-pypopRF", "tracker": "https://github.com/wpgp/QGIS-pypopRF/issues", "author": "WorldPop SDI Team:\nBorys Nosatiuk (Project Lead),\nRhorom Priyatikanto,\nMaksym Bondarenko,\nWenbin Zhang,\nTom McKeen,\nElena Vataga", "tags": ["population", "mapping", "dasymetric", "machine learning", "gis", "python"], "downloads": 20, "latest_version": "0.3.8", "versions": [{"version": "0.3.8", "experimental": false, "qgis_min": "3.44.0", "qgis_max": "4.99.0", "downloads": 20, "uploaded_by": "wp_admin", "upload_datetime": "2026-10-15T09:38:21.816940"}]}