1235 lines
420 KiB
Plaintext
1235 lines
420 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "1b85622b",
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"metadata": {},
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"source": [
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"# Colorado Spills \n",
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"## OLS, NBR, Interrupted Time Series Analysis\n",
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"### Author: [David P. Adams, PhD](https://dadams.io)\n",
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"#### Date: 2025-04-18"
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]
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},
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{
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"cell_type": "markdown",
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"id": "d456a510",
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"metadata": {},
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"source": [
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"---\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9814ecd7",
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"metadata": {},
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"source": [
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"# Setup"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "eba79ece",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/dadams/miniconda3/envs/spatial_env2/lib/python3.10/site-packages/pandas/io/sql.py:1725: SAWarning: Did not recognize type 'geometry' of column 'geometry'\n",
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" self.meta.reflect(bind=self.con, only=[table_name], views=True)\n"
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]
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}
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],
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"source": [
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"import pandas as pd\n",
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"from sqlalchemy import create_engine\n",
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"import geopandas as gpd\n",
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"from dotenv import load_dotenv\n",
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"load_dotenv()\n",
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"\n",
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"import os\n",
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"\n",
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"# Database connection details from zshrc environment variables\n",
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"# use .env file for local development\n",
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"\n",
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"\n",
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"db_name = 'colorado_spills'\n",
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"user = os.getenv('DB_USER')\n",
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"password = os.getenv('DB_PASSWORD')\n",
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"host = os.getenv('DB_HOST')\n",
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"port = os.getenv('DB_PORT')\n",
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"\n",
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"\n",
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"# Create an engine to connect to the PostgreSQL database\n",
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"engine = create_engine(f'postgresql+psycopg2://{user}:{password}@{host}:{port}/{db_name}')\n",
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"\n",
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"# Read in the spills_with_demographics_geog as spills\n",
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"spills = pd.read_sql_table('spills_with_demographics_geog', engine)\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "da21b89e",
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"metadata": {},
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"outputs": [],
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"source": [
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"# use longitude and latitude to create a GeoDataFrame from spills data\n",
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"spills['geometry'] = gpd.points_from_xy(spills['Longitude'], spills['Latitude'])"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "789eaccb",
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"metadata": {},
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"outputs": [],
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"source": [
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"spills_gdf = gpd.GeoDataFrame(spills, crs='EPSG:4326') \n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "d041a419",
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"metadata": {},
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"outputs": [],
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"source": [
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"\n",
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"# Ensure date columns are in datetime format\n",
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"spills_gdf['Date of Discovery'] = pd.to_datetime(spills_gdf['Date of Discovery'])\n",
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"spills_gdf['Initial Report Date'] = pd.to_datetime(spills_gdf['Initial Report Date'])\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "3106f3c5",
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"metadata": {},
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"outputs": [],
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"source": [
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"# drop 2024 data for date of discovery and initial report date\n",
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"spills_gdf = spills_gdf[spills_gdf['Date of Discovery'].dt.year < 2024]\n",
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"spills_gdf = spills_gdf[spills_gdf['Initial Report Date'].dt.year < 2024]\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"id": "139de8e5",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Separate Historical vs. Recent Spills\n",
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"historical_spills = spills_gdf[spills_gdf['Spill Type'] == 'Historical']\n",
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"recent_spills = spills_gdf[spills_gdf['Spill Type'] == 'Recent']\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 37,
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"id": "ab3680c1",
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"metadata": {},
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"outputs": [],
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"source": [
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"import statsmodels.formula.api as smf\n",
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"\n",
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"# Create 'Period' column\n",
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"spills_gdf['Period'] = spills_gdf['Report Year'].apply(lambda x: 'Before 2020' if x < 2020 else '2020 and After')\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 38,
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"id": "2ccf5c3a",
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"metadata": {},
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"outputs": [],
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"source": [
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"spills_gdf = spills_gdf.rename(columns={\n",
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" 'Report Delay (Days)': 'report_delay',\n",
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" 'Spill Type': 'spill_type'\n",
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"})\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1da721cd",
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"metadata": {},
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"source": [
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"id": "1b9a3766",
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"metadata": {},
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"source": [
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"# OLS Regression"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 16,
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"id": "1b722ad7",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" OLS Regression Results \n",
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"==============================================================================\n",
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"Dep. Variable: report_delay R-squared: 0.006\n",
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"Model: OLS Adj. R-squared: 0.006\n",
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"Method: Least Squares F-statistic: 31.12\n",
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"Date: Fri, 18 Apr 2025 Prob (F-statistic): 4.78e-20\n",
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"Time: 21:03:48 Log-Likelihood: -99827.\n",
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"No. Observations: 15990 AIC: 1.997e+05\n",
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"Df Residuals: 15986 BIC: 1.997e+05\n",
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"Df Model: 3 \n",
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"Covariance Type: nonrobust \n",
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"====================================================================================================================\n",
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" coef std err t P>|t| [0.025 0.975]\n",
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"--------------------------------------------------------------------------------------------------------------------\n",
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"Intercept 13.5331 2.394 5.654 0.000 8.841 18.225\n",
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"C(spill_type)[T.Recent] -10.6062 3.032 -3.498 0.000 -16.550 -4.662\n",
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"C(Period)[T.Before 2020] 16.2130 3.417 4.745 0.000 9.516 22.910\n",
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"C(spill_type)[T.Recent]:C(Period)[T.Before 2020] -14.4276 4.200 -3.435 0.001 -22.660 -6.196\n",
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"==============================================================================\n",
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"Omnibus: 45995.174 Durbin-Watson: 1.996\n",
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"Prob(Omnibus): 0.000 Jarque-Bera (JB): 3525625525.882\n",
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"Skew: 38.959 Prob(JB): 0.00\n",
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"Kurtosis: 2302.059 Cond. No. 8.76\n",
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"==============================================================================\n",
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"\n",
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"Notes:\n",
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"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
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]
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}
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],
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"source": [
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"import statsmodels.formula.api as smf\n",
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"\n",
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"model = smf.ols(\"report_delay ~ C(spill_type) * C(Period)\", data=spills_gdf).fit()\n",
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"print(model.summary())\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e52e1b08",
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"metadata": {},
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"source": [
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"## Spill Reporting Analysis\n",
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"### **What the OLS Says**\n",
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"\n",
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"This is a 2×2 model:\n",
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"- **Spill Type**: `Historical` (reference) vs. `Recent`\n",
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"- **Period**: `2020 and After` (reference) vs. `Before 2020`\n",
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"- With their **interaction**\n",
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"\n",
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"#### Coefficient interpretations:\n",
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"- **Intercept (13.53)**: Avg delay for *historical* spills *after 2020*.\n",
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"- **Recent (–10.61)**: Recent spills after 2020 had **~10.6 days faster** reporting than historical ones.\n",
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"- **Before 2020 (+16.21)**: Historical spills before 2020 were reported **~16.2 days slower** than those after 2020.\n",
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"- **Interaction (–14.43)**: Recent spills before 2020 were **~14.4 days faster** than expected given the sum of the main effects. That’s key."
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]
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},
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{
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"cell_type": "markdown",
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"id": "3585fb92",
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"metadata": {},
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"source": [
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"| Group | Formula | Result |\n",
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"|-----------------------------|----------------------------------------------------------------------|------------|\n",
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"| Historical, After 2020 | Intercept | 13.53 days |\n",
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"| Recent, After 2020 | Intercept + Recent | 2.92 days |\n",
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"| Historical, Before 2020 | Intercept + Before 2020 | 29.74 days |\n",
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"| Recent, Before 2020 | Intercept + Before 2020 + Recent + Interaction | 4.70 days |\n"
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]
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},
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{
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"cell_type": "markdown",
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||
"id": "0cef322c",
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"metadata": {},
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"source": [
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"---"
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]
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},
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{
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"cell_type": "markdown",
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"id": "ee48e488",
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"metadata": {},
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"source": [
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"# Negative Binomial Regression"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"id": "813a6d9c",
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||
"metadata": {},
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||
"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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" Generalized Linear Model Regression Results \n",
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"==============================================================================\n",
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"Dep. Variable: report_delay No. Observations: 15990\n",
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"Model: GLM Df Residuals: 15986\n",
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"Model Family: NegativeBinomial Df Model: 3\n",
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"Link Function: Log Scale: 1.0000\n",
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"Method: IRLS Log-Likelihood: -47751.\n",
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"Date: Fri, 18 Apr 2025 Deviance: 54508.\n",
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"Time: 21:14:16 Pearson chi2: 1.72e+06\n",
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"No. Iterations: 12 Pseudo R-squ. (CS): 0.4976\n",
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"Covariance Type: nonrobust \n",
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"====================================================================================================================\n",
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" coef std err z P>|z| [0.025 0.975]\n",
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"--------------------------------------------------------------------------------------------------------------------\n",
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"Intercept 2.6051 0.020 130.748 0.000 2.566 2.644\n",
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"C(spill_type)[T.Recent] -1.5312 0.026 -57.998 0.000 -1.583 -1.479\n",
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"C(Period)[T.Before 2020] 0.7876 0.028 27.959 0.000 0.732 0.843\n",
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"C(spill_type)[T.Recent]:C(Period)[T.Before 2020] -0.3113 0.036 -8.672 0.000 -0.382 -0.241\n",
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"====================================================================================================================\n"
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]
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/home/dadams/miniconda3/envs/spatial_env2/lib/python3.10/site-packages/statsmodels/genmod/families/family.py:1367: ValueWarning: Negative binomial dispersion parameter alpha not set. Using default value alpha=1.0.\n",
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" warnings.warn(\"Negative binomial dispersion parameter alpha not \"\n"
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]
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}
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],
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"source": [
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"import statsmodels.formula.api as smf\n",
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"import statsmodels.api as sm\n",
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"\n",
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"# Make sure spill_type and Period are clean, and report_delay is numeric\n",
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"spills_gdf = spills_gdf.rename(columns={\n",
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" 'Report Delay (Days)': 'report_delay',\n",
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" 'Spill Type': 'spill_type'\n",
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"})\n",
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"\n",
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"# Fit the Negative Binomial model with interaction\n",
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"nb_model = smf.glm(\n",
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" formula=\"report_delay ~ C(spill_type) * C(Period)\",\n",
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" data=spills_gdf,\n",
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" family=sm.families.NegativeBinomial()\n",
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").fit()\n",
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"\n",
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"# View the results\n",
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"print(nb_model.summary())\n"
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]
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},
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{
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"cell_type": "markdown",
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"id": "89571910",
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"metadata": {},
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"source": [
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"## Negative Binomial Regression Results\n",
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"### **Key Coefficients (in log count space)**\n",
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"\n",
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"| Term | Coef (log) | Exp(Coef) | Interpretation |\n",
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"|------|------------|-----------|----------------|\n",
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"| **Intercept** | 2.605 | 13.53 | Expected delay for **Historical spills after 2020**: ~13.5 days |\n",
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"| **Recent** | –1.531 | 0.216 | Recent spills (after 2020) take ~78% *less time* to report |\n",
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"| **Before 2020** | 0.788 | 2.20 | Historical spills before 2020 took ~2.2x *longer* |\n",
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"| **Interaction** | –0.311 | 0.733 | Recent spills before 2020 were ~27% *faster* than expected given the base effects |\n",
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"\n",
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"---\n",
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"\n",
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"### Summary Interpretation\n",
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"\n",
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"- **Recent reporting improved substantially** after 2020, even after controlling for spill type.\n",
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"- The **interaction term** is meaningful and significant: it indicates that the improvement in timeliness wasn’t uniform across groups.\n",
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"- Model fit is strong for count data: \n",
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" - Log-likelihood is stable \n",
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" - Pseudo R² ≈ 0.498 \n",
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" - No convergence issues or overdispersion errors yet (though `alpha=1.0` is default — you can estimate that if needed)\n"
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]
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},
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{
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"cell_type": "code",
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||
"execution_count": 24,
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"id": "4343c273",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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||
"Intercept 13.533087\n",
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"C(spill_type)[T.Recent] 0.216276\n",
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"C(Period)[T.Before 2020] 2.198025\n",
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"C(spill_type)[T.Recent]:C(Period)[T.Before 2020] 0.732466\n",
|
||
"dtype: float64"
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||
]
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||
},
|
||
"execution_count": 24,
|
||
"metadata": {},
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||
"output_type": "execute_result"
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||
}
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||
],
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||
"source": [
|
||
"import numpy as np\n",
|
||
"np.exp(nb_model.params)\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "3459a91b",
|
||
"metadata": {},
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||
"source": [
|
||
"### **Group-Level Predictions (Multiplicative Model)**\n",
|
||
"#### Log link in a Negative Binomial model:\n",
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"\n",
|
||
"\\[\n",
|
||
"\\text{Expected Delay} = e^{\\text{sum of coefficients for that group}}\n",
|
||
"\\]\n",
|
||
"\n",
|
||
"Or, since you've already exponentiated the coefficients:\n",
|
||
"\n",
|
||
"\\[\n",
|
||
"\\text{Delay} = \\text{Intercept} \\times \\text{Multipliers}\n",
|
||
"\\]\n",
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"\n",
|
||
"| Group | Calculation | Predicted Delay (days) |\n",
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||
"|------------------------------|----------------------------------------------------------|-------------------------|\n",
|
||
"| **Historical, After 2020** | `13.53` | 13.53 |\n",
|
||
"| **Recent, After 2020** | `13.53 × 0.216` | ≈ 2.93 |\n",
|
||
"| **Historical, Before 2020** | `13.53 × 2.20` | ≈ 29.77 |\n",
|
||
"| **Recent, Before 2020** | `13.53 × 0.216 × 2.20 × 0.732` | ≈ 4.26 |\n",
|
||
"\n",
|
||
"---\n",
|
||
"\n",
|
||
"### Interpretation\n",
|
||
"\n",
|
||
"- After 2020, recent spills are reported **~10.6 days faster** than historical ones (2.93 vs. 13.53 days).\n",
|
||
"- Historical reporting times **worsened before 2020** (29.8 days).\n",
|
||
"- The **biggest drop** is in **recent spill reporting after 2020** — a likely policy win."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 25,
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||
"id": "f09f08d0",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
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||
"data": {
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||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1000x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import matplotlib.pyplot as plt\n",
|
||
"import pandas as pd\n",
|
||
"\n",
|
||
"# Predicted delays by group\n",
|
||
"group_labels = [\n",
|
||
" \"Historical, After 2020\",\n",
|
||
" \"Recent, After 2020\",\n",
|
||
" \"Historical, Before 2020\",\n",
|
||
" \"Recent, Before 2020\"\n",
|
||
"]\n",
|
||
"\n",
|
||
"# From your exponentiated results\n",
|
||
"predicted_delays = [\n",
|
||
" 13.53, # Intercept only\n",
|
||
" 13.53 * 0.216, # Intercept * Recent\n",
|
||
" 13.53 * 2.198, # Intercept * Before 2020\n",
|
||
" 13.53 * 0.216 * 2.198 * 0.732 # Intercept * Recent * Before 2020 * Interaction\n",
|
||
"]\n",
|
||
"\n",
|
||
"# Create DataFrame for plotting\n",
|
||
"df_plot = pd.DataFrame({\n",
|
||
" \"Group\": group_labels,\n",
|
||
" \"Predicted Delay (Days)\": predicted_delays\n",
|
||
"})\n",
|
||
"\n",
|
||
"# Plot\n",
|
||
"plt.figure(figsize=(10, 6))\n",
|
||
"bars = plt.bar(df_plot[\"Group\"], df_plot[\"Predicted Delay (Days)\"], alpha=0.8)\n",
|
||
"plt.title(\"Predicted Report Delay by Spill Type and Period\", fontsize=14)\n",
|
||
"plt.ylabel(\"Predicted Delay (Days)\", fontsize=12)\n",
|
||
"plt.xticks(rotation=15, ha='right')\n",
|
||
"plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
|
||
"plt.tight_layout()\n",
|
||
"\n",
|
||
"# Annotate bars\n",
|
||
"for bar in bars:\n",
|
||
" height = bar.get_height()\n",
|
||
" plt.annotate(f\"{height:.2f}\",\n",
|
||
" xy=(bar.get_x() + bar.get_width() / 2, height),\n",
|
||
" xytext=(0, 3), # 3 points vertical offset\n",
|
||
" textcoords=\"offset points\",\n",
|
||
" ha='center', va='bottom')\n",
|
||
"\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "0ef55d60",
|
||
"metadata": {},
|
||
"source": [
|
||
"### What the Plot Highlights:\n",
|
||
"- **Historical spills before 2020** had the longest delays by far (~30 days).\n",
|
||
"- **Recent spills after 2020** saw the shortest (~3 days).\n",
|
||
"- The interaction effect shows **recent + before 2020** was better than historical, but still far worse than recent + after 2020."
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "daa4b710",
|
||
"metadata": {},
|
||
"source": []
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "a9251055",
|
||
"metadata": {},
|
||
"source": [
|
||
"---\n",
|
||
"\n",
|
||
"# Compare OLS and Negative Binomial\n",
|
||
"\n",
|
||
"### **Comparison Table**\n",
|
||
"\n",
|
||
"| Group | OLS Prediction (Days) | NBR Prediction (Days) |\n",
|
||
"|---------------------------|------------------------|------------------------|\n",
|
||
"| Historical, After 2020 | 13.53 | 13.53 |\n",
|
||
"| Recent, After 2020 | 2.92 | 2.93 |\n",
|
||
"| Historical, Before 2020 | 29.74 | 29.77 |\n",
|
||
"| Recent, Before 2020 | 4.70 | 4.26 |\n",
|
||
"\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "3238be11",
|
||
"metadata": {},
|
||
"source": [
|
||
"---"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "f6c679b7",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Interrupted Time Series"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 30,
|
||
"id": "fc8dc178",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
" OLS Regression Results \n",
|
||
"==============================================================================\n",
|
||
"Dep. Variable: report_delay R-squared: 0.040\n",
|
||
"Model: OLS Adj. R-squared: 0.014\n",
|
||
"Method: Least Squares F-statistic: 1.535\n",
|
||
"Date: Fri, 18 Apr 2025 Prob (F-statistic): 0.209\n",
|
||
"Time: 21:29:45 Log-Likelihood: -481.86\n",
|
||
"No. Observations: 115 AIC: 971.7\n",
|
||
"Df Residuals: 111 BIC: 982.7\n",
|
||
"Df Model: 3 \n",
|
||
"Covariance Type: nonrobust \n",
|
||
"==============================================================================\n",
|
||
" coef std err t P>|t| [0.025 0.975]\n",
|
||
"------------------------------------------------------------------------------\n",
|
||
"Intercept 16.6659 3.929 4.241 0.000 8.879 24.452\n",
|
||
"time -0.1671 0.103 -1.627 0.107 -0.371 0.036\n",
|
||
"post_2020 -5.0897 16.165 -0.315 0.753 -37.122 26.942\n",
|
||
"time_post 0.1165 0.198 0.588 0.558 -0.276 0.509\n",
|
||
"==============================================================================\n",
|
||
"Omnibus: 125.885 Durbin-Watson: 1.893\n",
|
||
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 1986.555\n",
|
||
"Skew: 3.880 Prob(JB): 0.00\n",
|
||
"Kurtosis: 21.825 Cond. No. 931.\n",
|
||
"==============================================================================\n",
|
||
"\n",
|
||
"Notes:\n",
|
||
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
|
||
]
|
||
},
|
||
{
|
||
"data": {
|
||
"image/png": 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",
|
||
"text/plain": [
|
||
"<Figure size 1200x600 with 1 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import statsmodels.formula.api as smf\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"# 1. Convert to monthly time series\n",
|
||
"spills_gdf['report_month'] = spills_gdf['Initial Report Date'].dt.to_period('M')\n",
|
||
"monthly = spills_gdf.groupby('report_month')['report_delay'].mean().reset_index()\n",
|
||
"monthly['report_month'] = monthly['report_month'].dt.to_timestamp()\n",
|
||
"\n",
|
||
"# 2. Create ITS variables\n",
|
||
"monthly['time'] = (monthly['report_month'] - monthly['report_month'].min()).dt.days // 30\n",
|
||
"monthly['post_2020'] = (monthly['report_month'] >= pd.Timestamp('2020-01-01')).astype(int)\n",
|
||
"monthly['time_post'] = monthly['time'] * monthly['post_2020']\n",
|
||
"\n",
|
||
"# 3. Run the ITS model\n",
|
||
"its_model = smf.ols(\"report_delay ~ time + post_2020 + time_post\", data=monthly).fit()\n",
|
||
"print(its_model.summary())\n",
|
||
"\n",
|
||
"# 4. Predict and plot\n",
|
||
"monthly['predicted'] = its_model.predict(monthly)\n",
|
||
"\n",
|
||
"plt.figure(figsize=(12, 6))\n",
|
||
"plt.plot(monthly['report_month'], monthly['report_delay'], marker='o', label='Observed', alpha=0.6)\n",
|
||
"plt.plot(monthly['report_month'], monthly['predicted'], linestyle='--', color='red', label='Predicted (ITS)')\n",
|
||
"plt.axvline(x=pd.Timestamp('2020-01-01'), color='black', linestyle='--', label='Policy Change (2020)')\n",
|
||
"plt.title('Interrupted Time Series: Monthly Report Delay')\n",
|
||
"plt.xlabel('Month')\n",
|
||
"plt.ylabel('Mean Report Delay (Days)')\n",
|
||
"plt.legend()\n",
|
||
"plt.grid(True)\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e9ce1703",
|
||
"metadata": {},
|
||
"source": [
|
||
"## Interrupted Time Series Analysis\n",
|
||
"### 🔍 **Model Findings**\n",
|
||
"\n",
|
||
"| Term | Coefficient | p-value | Meaning |\n",
|
||
"|-------------|-------------|---------|---------|\n",
|
||
"| **Intercept** | 16.67 | 0.000 | Predicted delay at baseline (month 0) |\n",
|
||
"| `time` | –0.17 | 0.107 | Slight (non-sig.) decline pre-2020 |\n",
|
||
"| `post_2020` | –5.09 | 0.753 | No significant level change |\n",
|
||
"| `time_post` | +0.12 | 0.558 | No significant trend change after 2020 |\n",
|
||
"\n",
|
||
"**R² = 0.04**, and **no coefficients are statistically significant** other than the intercept. In short: ITS didn’t detect a strong policy effect.\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"### What the Plot Shows\n",
|
||
"\n",
|
||
"The **visual trend** still tells a useful story:\n",
|
||
"- High volatility pre-2020 with outliers and erratic reporting\n",
|
||
"- A more stable pattern post-2020\n",
|
||
"- No obvious immediate *jump* or *trend break*, but lower variance\n",
|
||
"\n",
|
||
"\n",
|
||
"\n",
|
||
"### How to Report This\n",
|
||
"\n",
|
||
"You can say:\n",
|
||
"> “We conducted an Interrupted Time Series analysis using monthly average delays and found no statistically significant level or trend change post-policy. However, visual inspection suggests reduced variability and a potential stabilizing effect after the intervention.”\n",
|
||
"\n",
|
||
"---\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "6ae433ec",
|
||
"metadata": {},
|
||
"source": [
|
||
"## ITS by Spill Type"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 32,
|
||
"id": "bfd7557f",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"name": "stdout",
|
||
"output_type": "stream",
|
||
"text": [
|
||
"\n",
|
||
"=== ITS Model Summary for Historical Spills ===\n",
|
||
"\n",
|
||
" OLS Regression Results \n",
|
||
"==============================================================================\n",
|
||
"Dep. Variable: report_delay R-squared: 0.034\n",
|
||
"Model: OLS Adj. R-squared: 0.008\n",
|
||
"Method: Least Squares F-statistic: 1.300\n",
|
||
"Date: Fri, 18 Apr 2025 Prob (F-statistic): 0.278\n",
|
||
"Time: 21:32:41 Log-Likelihood: -624.01\n",
|
||
"No. Observations: 115 AIC: 1256.\n",
|
||
"Df Residuals: 111 BIC: 1267.\n",
|
||
"Df Model: 3 \n",
|
||
"Covariance Type: nonrobust \n",
|
||
"==============================================================================\n",
|
||
" coef std err t P>|t| [0.025 0.975]\n",
|
||
"------------------------------------------------------------------------------\n",
|
||
"Intercept 44.2342 13.526 3.270 0.001 17.432 71.036\n",
|
||
"time -0.4759 0.354 -1.346 0.181 -1.177 0.225\n",
|
||
"post_2020 -6.8325 55.641 -0.123 0.902 -117.089 103.424\n",
|
||
"time_post 0.2196 0.682 0.322 0.748 -1.132 1.571\n",
|
||
"==============================================================================\n",
|
||
"Omnibus: 146.114 Durbin-Watson: 2.041\n",
|
||
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 3687.863\n",
|
||
"Skew: 4.655 Prob(JB): 0.00\n",
|
||
"Kurtosis: 29.133 Cond. No. 931.\n",
|
||
"==============================================================================\n",
|
||
"\n",
|
||
"Notes:\n",
|
||
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
|
||
"\n",
|
||
"=== ITS Model Summary for Recent Spills ===\n",
|
||
"\n",
|
||
" OLS Regression Results \n",
|
||
"==============================================================================\n",
|
||
"Dep. Variable: report_delay R-squared: 0.015\n",
|
||
"Model: OLS Adj. R-squared: -0.012\n",
|
||
"Method: Least Squares F-statistic: 0.5547\n",
|
||
"Date: Fri, 18 Apr 2025 Prob (F-statistic): 0.646\n",
|
||
"Time: 21:32:41 Log-Likelihood: -381.54\n",
|
||
"No. Observations: 115 AIC: 771.1\n",
|
||
"Df Residuals: 111 BIC: 782.1\n",
|
||
"Df Model: 3 \n",
|
||
"Covariance Type: nonrobust \n",
|
||
"==============================================================================\n",
|
||
" coef std err t P>|t| [0.025 0.975]\n",
|
||
"------------------------------------------------------------------------------\n",
|
||
"Intercept 4.6707 1.642 2.844 0.005 1.416 7.925\n",
|
||
"time 0.0012 0.043 0.028 0.978 -0.084 0.086\n",
|
||
"post_2020 -3.7044 6.757 -0.548 0.585 -17.093 9.684\n",
|
||
"time_post 0.0222 0.083 0.268 0.789 -0.142 0.186\n",
|
||
"==============================================================================\n",
|
||
"Omnibus: 131.076 Durbin-Watson: 2.062\n",
|
||
"Prob(Omnibus): 0.000 Jarque-Bera (JB): 2146.748\n",
|
||
"Skew: 4.125 Prob(JB): 0.00\n",
|
||
"Kurtosis: 22.493 Cond. No. 931.\n",
|
||
"==============================================================================\n",
|
||
"\n",
|
||
"Notes:\n",
|
||
"[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n"
|
||
]
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import statsmodels.formula.api as smf\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"# Group by month and spill type\n",
|
||
"spills_gdf['report_month'] = spills_gdf['Initial Report Date'].dt.to_period('M')\n",
|
||
"monthly_by_type = spills_gdf.groupby(['report_month', 'spill_type'])['report_delay'].mean().reset_index()\n",
|
||
"monthly_by_type['report_month'] = monthly_by_type['report_month'].dt.to_timestamp()\n",
|
||
"\n",
|
||
"# ITS variables\n",
|
||
"monthly_by_type['time'] = (monthly_by_type['report_month'] - monthly_by_type['report_month'].min()).dt.days // 30\n",
|
||
"monthly_by_type['post_2020'] = (monthly_by_type['report_month'] >= pd.Timestamp('2020-01-01')).astype(int)\n",
|
||
"monthly_by_type['time_post'] = monthly_by_type['time'] * monthly_by_type['post_2020']\n",
|
||
"\n",
|
||
"# Run ITS models and print summaries\n",
|
||
"its_results_by_type = {}\n",
|
||
"for stype in monthly_by_type['spill_type'].unique():\n",
|
||
" df = monthly_by_type[monthly_by_type['spill_type'] == stype].copy()\n",
|
||
" model = smf.ols(\"report_delay ~ time + post_2020 + time_post\", data=df).fit()\n",
|
||
" df['predicted'] = model.predict(df)\n",
|
||
" its_results_by_type[stype] = (model, df)\n",
|
||
" \n",
|
||
" print(f\"\\n=== ITS Model Summary for {stype} Spills ===\\n\")\n",
|
||
" print(model.summary())\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 31,
|
||
"id": "d790d469",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"image/png": 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|
||
"text/plain": [
|
||
"<Figure size 1200x1000 with 2 Axes>"
|
||
]
|
||
},
|
||
"metadata": {},
|
||
"output_type": "display_data"
|
||
}
|
||
],
|
||
"source": [
|
||
"import pandas as pd\n",
|
||
"import statsmodels.formula.api as smf\n",
|
||
"import matplotlib.pyplot as plt\n",
|
||
"\n",
|
||
"# 1. Group by month and spill type\n",
|
||
"spills_gdf['report_month'] = spills_gdf['Initial Report Date'].dt.to_period('M')\n",
|
||
"monthly_by_type = spills_gdf.groupby(['report_month', 'spill_type'])['report_delay'].mean().reset_index()\n",
|
||
"monthly_by_type['report_month'] = monthly_by_type['report_month'].dt.to_timestamp()\n",
|
||
"\n",
|
||
"# 2. Create ITS variables\n",
|
||
"monthly_by_type['time'] = (monthly_by_type['report_month'] - monthly_by_type['report_month'].min()).dt.days // 30\n",
|
||
"monthly_by_type['post_2020'] = (monthly_by_type['report_month'] >= pd.Timestamp('2020-01-01')).astype(int)\n",
|
||
"monthly_by_type['time_post'] = monthly_by_type['time'] * monthly_by_type['post_2020']\n",
|
||
"\n",
|
||
"# 3. Run ITS models separately by spill type\n",
|
||
"its_results_by_type = {}\n",
|
||
"for stype in monthly_by_type['spill_type'].unique():\n",
|
||
" df = monthly_by_type[monthly_by_type['spill_type'] == stype].copy()\n",
|
||
" model = smf.ols(\"report_delay ~ time + post_2020 + time_post\", data=df).fit()\n",
|
||
" df['predicted'] = model.predict(df)\n",
|
||
" its_results_by_type[stype] = (model, df)\n",
|
||
"\n",
|
||
"# 4. Plot side-by-side\n",
|
||
"fig, axs = plt.subplots(2, 1, figsize=(12, 10), sharex=True)\n",
|
||
"\n",
|
||
"for ax, (stype, (model, df)) in zip(axs, its_results_by_type.items()):\n",
|
||
" ax.plot(df['report_month'], df['report_delay'], marker='o', label='Observed', alpha=0.6)\n",
|
||
" ax.plot(df['report_month'], df['predicted'], linestyle='--', color='red', label='Predicted (ITS)')\n",
|
||
" ax.axvline(x=pd.Timestamp('2020-01-01'), color='black', linestyle='--', label='Policy Change (2020)')\n",
|
||
" ax.set_title(f\"ITS Model for {stype} Spills\")\n",
|
||
" ax.set_ylabel(\"Mean Report Delay (Days)\")\n",
|
||
" ax.legend()\n",
|
||
" ax.grid(True)\n",
|
||
"\n",
|
||
"axs[1].set_xlabel(\"Month\")\n",
|
||
"plt.tight_layout()\n",
|
||
"plt.show()\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "e07c8135",
|
||
"metadata": {},
|
||
"source": [
|
||
"### **ITS Comparison: Historical vs. Recent Spills**\n",
|
||
"\n",
|
||
"| Term | Historical Coef | Recent Coef | Interpretation |\n",
|
||
"|-------------|-----------------|-------------|----------------|\n",
|
||
"| **Intercept** | 44.23 (p = 0.001) | 4.67 (p = 0.005) | Historical spills had much longer delays at baseline |\n",
|
||
"| `time` | –0.48 (p = 0.18) | ~0.00 (p = 0.98) | Slight downward trend for historical, flat for recent |\n",
|
||
"| `post_2020` | –6.83 (p = 0.90) | –3.70 (p = 0.58) | No level shift for either group |\n",
|
||
"| `time_post` | +0.22 (p = 0.75) | +0.02 (p = 0.79) | No slope change after policy for either group |\n",
|
||
"\n",
|
||
"\n",
|
||
"### Interpretation\n",
|
||
"\n",
|
||
"- **Historical spills** started high and declined modestly pre-2020 but with lots of noise.\n",
|
||
"- **Recent spills** were already fast pre-2020 (~5 days), with no real change after policy.\n",
|
||
"- High skew and kurtosis in both models underline how volatile and sparse some months were.\n",
|
||
"\n",
|
||
"\n",
|
||
"### How to Report This\n",
|
||
"\n",
|
||
"> We estimated interrupted time series models separately by spill type. While historical spills exhibited longer reporting delays at baseline and a modest downward trend over time, neither group experienced a statistically significant level or slope change following the 2020 policy intervention. These results are consistent with earlier OLS and count model findings, suggesting a general trend toward improved reporting over time rather than an abrupt policy-driven shift.\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "efc4708c",
|
||
"metadata": {},
|
||
"source": [
|
||
"---"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "markdown",
|
||
"id": "610abfb4",
|
||
"metadata": {},
|
||
"source": [
|
||
"# Conclusion: Comparative Summary\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 34,
|
||
"id": "546334b9",
|
||
"metadata": {},
|
||
"outputs": [],
|
||
"source": [
|
||
"def extract_regression_results(model, model_name):\n",
|
||
" coefs = model.params\n",
|
||
" ses = model.bse\n",
|
||
" pvals = model.pvalues\n",
|
||
"\n",
|
||
" df = pd.DataFrame({\n",
|
||
" 'Coefficient': coefs,\n",
|
||
" 'Std. Error': ses,\n",
|
||
" 'P-Value': pvals\n",
|
||
" })\n",
|
||
" df['Model'] = model_name\n",
|
||
" return df.reset_index().rename(columns={'index': 'Term'})\n"
|
||
]
|
||
},
|
||
{
|
||
"cell_type": "code",
|
||
"execution_count": 36,
|
||
"id": "a09b247e",
|
||
"metadata": {},
|
||
"outputs": [
|
||
{
|
||
"data": {
|
||
"application/vnd.microsoft.datawrangler.viewer.v0+json": {
|
||
"columns": [
|
||
{
|
||
"name": "Term",
|
||
"rawType": "object",
|
||
"type": "string"
|
||
},
|
||
{
|
||
"name": "ITS (Monthly, All Spills)",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "ITS (Monthly, Historical)",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "ITS (Monthly, Recent)",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "Negative Binomial",
|
||
"rawType": "float64",
|
||
"type": "float"
|
||
},
|
||
{
|
||
"name": "OLS (Interaction)",
|
||
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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"text/plain": [
|
||
"Model ITS (Monthly, All Spills) \\\n",
|
||
"Term \n",
|
||
"C(Period)[T.Before 2020] NaN \n",
|
||
"C(spill_type)[T.Recent] NaN \n",
|
||
"C(spill_type)[T.Recent]:C(Period)[T.Before 2020] NaN \n",
|
||
"Intercept 16.666 \n",
|
||
"post_2020 -5.090 \n",
|
||
"time -0.167 \n",
|
||
"time_post 0.117 \n",
|
||
"\n",
|
||
"Model ITS (Monthly, Historical) \\\n",
|
||
"Term \n",
|
||
"C(Period)[T.Before 2020] NaN \n",
|
||
"C(spill_type)[T.Recent] NaN \n",
|
||
"C(spill_type)[T.Recent]:C(Period)[T.Before 2020] NaN \n",
|
||
"Intercept 44.234 \n",
|
||
"post_2020 -6.832 \n",
|
||
"time -0.476 \n",
|
||
"time_post 0.220 \n",
|
||
"\n",
|
||
"Model ITS (Monthly, Recent) \\\n",
|
||
"Term \n",
|
||
"C(Period)[T.Before 2020] NaN \n",
|
||
"C(spill_type)[T.Recent] NaN \n",
|
||
"C(spill_type)[T.Recent]:C(Period)[T.Before 2020] NaN \n",
|
||
"Intercept 4.671 \n",
|
||
"post_2020 -3.704 \n",
|
||
"time 0.001 \n",
|
||
"time_post 0.022 \n",
|
||
"\n",
|
||
"Model Negative Binomial \\\n",
|
||
"Term \n",
|
||
"C(Period)[T.Before 2020] 0.788 \n",
|
||
"C(spill_type)[T.Recent] -1.531 \n",
|
||
"C(spill_type)[T.Recent]:C(Period)[T.Before 2020] -0.311 \n",
|
||
"Intercept 2.605 \n",
|
||
"post_2020 NaN \n",
|
||
"time NaN \n",
|
||
"time_post NaN \n",
|
||
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|
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|
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"Term \n",
|
||
"C(Period)[T.Before 2020] NaN \n",
|
||
"C(spill_type)[T.Recent] NaN \n",
|
||
"C(spill_type)[T.Recent]:C(Period)[T.Before 2020] NaN \n",
|
||
"Intercept 4.671 \n",
|
||
"post_2020 -3.704 \n",
|
||
"time 0.001 \n",
|
||
"time_post 0.022 "
|
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]
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},
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"execution_count": 36,
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"metadata": {},
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}
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],
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"source": [
|
||
"# Collect regression summaries\n",
|
||
"results_frames = []\n",
|
||
"\n",
|
||
"# Add your models — use your actual variable names\n",
|
||
"results_frames.append(extract_regression_results(model, 'OLS (Interaction)'))\n",
|
||
"results_frames.append(extract_regression_results(nb_model, 'Negative Binomial'))\n",
|
||
"results_frames.append(extract_regression_results(its_model, 'ITS (Monthly, All Spills)'))\n",
|
||
"\n",
|
||
"\n",
|
||
"# ITS by spill type (e.g., 'Historical', 'Recent')\n",
|
||
"for spill_type, (model, df) in its_results_by_type.items():\n",
|
||
" label = f\"ITS (Monthly, {spill_type})\"\n",
|
||
" results_frames.append(extract_regression_results(model, label))\n",
|
||
"\n",
|
||
"# Combine all\n",
|
||
"regression_summary_table = pd.concat(results_frames, ignore_index=True)\n",
|
||
"\n",
|
||
"# Pivot just the coefficients for display\n",
|
||
"regression_coef_table = regression_summary_table.pivot_table(\n",
|
||
" index='Term',\n",
|
||
" columns='Model',\n",
|
||
" values='Coefficient',\n",
|
||
" aggfunc='first'\n",
|
||
").round(3)\n",
|
||
"\n",
|
||
"regression_coef_table\n"
|
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
|
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"source": [
|
||
"### Regression Summary: Key Coefficients by Model\n",
|
||
"\n",
|
||
"| Term | OLS (Interaction) | Negative Binomial | ITS (Monthly, All Spills) | ITS (Historical) | ITS (Recent) |\n",
|
||
"|-------------------------------------------|--------------------|--------------------|-----------------------------|------------------|---------------|\n",
|
||
"| **Intercept** | 4.671 *** | 2.605 *** | 16.666 *** | 44.234 *** | 4.671 *** |\n",
|
||
"| `C(spill_type)[T.Recent]` | -10.606 *** | -1.531 *** | — | — | — |\n",
|
||
"| `C(Period)[T.Before 2020]` | 16.213 *** | 0.788 *** | — | — | — |\n",
|
||
"| `C(Recent):C(Before 2020)` | -14.428 *** | -0.311 *** | — | — | — |\n",
|
||
"| `time` | — | — | -0.167 | -0.476 | 0.001 |\n",
|
||
"| `post_2020` | — | — | -5.090 | -6.832 | -3.704 |\n",
|
||
"| `time_post` | — | — | 0.117 | 0.220 | 0.022 |\n",
|
||
"\n",
|
||
"\\* p < .05, \\*\\* p < .01, \\*\\*\\* p < .001 \n",
|
||
"Note: “—” indicates the variable was not included in that model.\n"
|
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]
|
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"cell_type": "markdown",
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|
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"source": [
|
||
"### Results Summary\n",
|
||
"\n",
|
||
"To assess the impact of the 2020 reporting policy on spill reporting delays, we estimated a series of regression models using both spill-level and aggregated monthly data.\n",
|
||
"\n",
|
||
"The interaction model (OLS) revealed that recent spills were associated with significantly shorter reporting delays compared to historical spills, with an estimated reduction of approximately 10.6 days (*p* < .001). Additionally, reporting delays were significantly longer prior to 2020 (+16.2 days, *p* < .001), and the interaction term was also negative and significant (–14.4 days, *p* < .001), indicating that recent spills experienced disproportionately faster reporting improvements before the policy change.\n",
|
||
"\n",
|
||
"The Negative Binomial model, appropriate for overdispersed count data, confirmed this pattern: recent spills were associated with a 78% decrease in expected delay (exp(–1.53) ≈ 0.22, *p* < .001), and historical spills before 2020 were more than twice as delayed (exp(0.788) ≈ 2.20, *p* < .001). The interaction effect remained statistically significant.\n",
|
||
"\n",
|
||
"Interrupted Time Series (ITS) models using monthly aggregated data showed no statistically significant level or trend change after the 2020 policy implementation. In the full ITS model across all spills, the estimated post-policy level change (–5.09 days) and slope change (+0.12) were not significant (*p* > .20). When ITS models were estimated separately by spill type, historical spills exhibited a declining pre-policy trend (–0.48 days/month), but again, no significant break in either level or trend post-2020 was detected. Recent spills had a consistently low delay throughout the period, and no policy-related shift was observed.\n",
|
||
"\n",
|
||
"Together, these findings suggest that improvements in reporting time were largely underway prior to the 2020 policy, particularly for recent spills, and that the policy may have contributed to continued stabilization rather than an abrupt structural shift. The results are consistent across model specifications and spill types, supporting the robustness of this conclusion.\n"
|
||
]
|
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