{"name": "GPBoost Spatial Predictor", "package_name": "gpboost_spatial_predictor", "description": "Spatial prediction with GPBoost, combining tree boosting and Gaussian processes for point observations.", "about": "GPBoost Spatial Predictor trains GPBoost models for spatial prediction from point layers with numeric response and covariate fields. It combines tree boosting for nonlinear covariate-response relationships with a Gaussian Process component for spatial residual autocorrelation. External dependency: the Python package gpboost>=1.4.0 must be available in the same Python environment used by QGIS. Version 1.0.6 adds both author LinkedIn profiles to the Info tab and documentation, keeps the non-blocking Info tab, and maintains the guided in-plugin installer/update button for gpboost, avoiding manual console use when the platform allows pip installation. The plugin includes an interactive dialog, a QGIS Processing algorithm, model comparison/tuning tools, and English, Spanish, and Portuguese interface labels. Current limitation: when creating prediction rasters from selected covariate fields, covariates are fixed at their median values over the prediction grid; future versions should accept raster covariate layers for fully covariate-varying maps.", "homepage": "https://github.com/jf-floresriera/GPBoost-Spatial-Predictor#readme", "repository": "https://github.com/jf-floresriera/GPBoost-Spatial-Predictor", "tracker": "https://github.com/jf-floresriera/GPBoost-Spatial-Predictor/issues", "author": "Jes\u00fas Enrique Flores-Riera, Santiago Gallego", "tags": ["raster", "interpolation", "machine learning", "gaussian process", "spatial prediction", "boosting"], "downloads": 24, "latest_version": "1.0.6", "versions": [{"version": "1.0.6", "experimental": false, "qgis_min": "3.28.0", "qgis_max": "4.99.0", "downloads": 4, "uploaded_by": "jf-floresriera", "upload_datetime": "2026-07-08T09:20:00.350254"}, {"version": "1.0.3", "experimental": false, "qgis_min": "3.28.0", "qgis_max": "3.99.0", "downloads": 5, "uploaded_by": "jf-floresriera", "upload_datetime": "2026-07-08T08:07:51.840891"}, {"version": "1.0.2", "experimental": true, "qgis_min": "3.28.0", "qgis_max": "3.99.0", "downloads": 15, "uploaded_by": "jf-floresriera", "upload_datetime": "2026-07-01T17:09:57.437919"}]}