thought it did more

analysis/spatial_analysis_1.ipynb

@@ -1171,26 +1171,6 @@
     "ax.axis('off')\n",
     "plt.show()\n"
    ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 17,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import pandas as pd\n",
-    "import geopandas as gpd\n",
-    "\n",
-    "# Assume you have county-level aggregated data `county_data` with:\n",
-    "# County, Avg_Collaboration_Intensity, Total Program GGRFFunding, ghg_efficiency, DAC_benefit_rate, CIscore, etc.\n",
-    "\n",
-    "# Load your county shapefile or GeoDataFrame (already loaded as `gdf`)\n",
-    "# gdf should have a 'County' column to merge on\n",
-    "spatial_analysis = gdf.merge(county_data, on='County', how='left')\n",
-    "\n",
-    "# Drop rows with missing geometry or needed variables\n",
-    "spatial_analysis = spatial_analysis.dropna(subset=['geometry', 'Total Program GGRFFunding', 'ghg_efficiency', 'CIscore'])\n"
-   ]
   }
  ],
  "metadata": {