{"name": "CO2GIS", "package_name": "co2gis", "description": "CO2 transport pipeline routing and CAPEX estimation for CCS infrastructure planning.", "about": "CO2GIS is an open-source QGIS plugin for planning CO2 transport pipeline infrastructure. It integrates raster-based least-cost path (LCP) routing with cell-level capital-cost (CAPEX) estimation, enabling optimal pipeline corridor selection under multi-criteria land constraints. The plugin implements the COMET cost surface framework, hydraulic pipeline sizing via the Darcy-Weisbach equation, and automatic booster station placement on long segments. Two estimation modes \u2014 precise cell-by-cell and fast point-sampling \u2014 let users tune the accuracy/speed trade-off. Requires the GRASS GIS provider bundled with QGIS.", "homepage": "https://co2gis.pages.dev/", "repository": "https://github.com/rpintassilgo/co2gis-qgis-plugin", "tracker": "https://github.com/rpintassilgo/co2gis-qgis-plugin/issues", "author": "Rodrigo Pintassilgo", "tags": ["raster", "routing", "pipeline", "grass", "least cost path", "co2", "carbon capture and storage", "ccs", "lcp", "capex"], "downloads": 311, "latest_version": "0.4.0", "versions": [{"version": "0.4.0", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "4.99.0", "downloads": 119, "uploaded_by": "rpintassilgo", "upload_datetime": "2026-07-08T19:25:24.631091"}, {"version": "0.3.0", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "4.99.0", "downloads": 65, "uploaded_by": "rpintassilgo", "upload_datetime": "2026-07-06T18:33:22.708184"}, {"version": "0.2.1", "experimental": false, "qgis_min": "3.16.0", "qgis_max": "4.99.0", "downloads": 127, "uploaded_by": "rpintassilgo", "upload_datetime": "2026-06-26T21:11:14.732250"}]}