ruality analysis . updated databases

analysis/new analysis Aug 2025/analysis11-ruca_2021.ipynb

@@ -0,0 +1,80 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "00abdbfd",
+   "metadata": {},
+   "source": [
+    "## Colorado Spills Project\n",
+    "### incorporating rurality data\n",
+    "### Date: 2025-08-06\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "3dc76f74",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import geopandas as gpd\n",
+    "import statsmodels.formula.api as smf\n",
+    "from sqlalchemy import create_engine\n",
+    "from dotenv import load_dotenv\n",
+    "import os\n",
+    "\n",
+    "load_dotenv()\n",
+    "\n",
+    "# Connect to your database\n",
+    "engine = create_engine(f\"postgresql+psycopg2://{os.getenv('DB_USER')}:{os.getenv('DB_PASSWORD')}@{os.getenv('DB_HOST')}:{os.getenv('DB_PORT')}/colorado_spills\")\n",
+    "\n",
+    "# Load data with geometry preserved\n",
+    "spills = gpd.read_postgis(\"SELECT * FROM spills_with_ruca\", engine, geom_col='geometry')\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "7e7219b8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def classify_rurality(ruca_code):\n",
+    "    if pd.isna(ruca_code):\n",
+    "        return 'Unknown'\n",
+    "    elif ruca_code <= 3:\n",
+    "        return 'Urban'\n",
+    "    elif ruca_code <= 6:\n",
+    "        return 'Suburban'\n",
+    "    else:\n",
+    "        return 'Rural'\n",
+    "\n",
+    "spills['ruca_code'] = pd.to_numeric(spills['ruca_code'], errors='coerce')\n",
+    "spills['rurality'] = spills['ruca_code'].apply(classify_rurality)\n",
+    "spills = spills[spills['rurality'] != 'Unknown']  # drop unknowns\n"
+   ]
+  }
+ ],
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+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
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+ "nbformat": 4,
+ "nbformat_minor": 5
+}