notebooks/squirrel_census.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "978aba6c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "import pandas as pd\n",
    "from shapely.geometry import Point\n",
    "import geopandas as gpd\n",
    "\n",
    "# Load the squirrel data\n",
    "data = pd.read_csv(\"../data/squirrel_data.csv\")\n",
    "\n",
    "# Filter for required columns\n",
    "data = data[['X', 'Y']]\n",
    "\n",
    "# Function to snap to grid\n",
    "GRID_SIZE = 0.0005  # e.g., ~50 meters depending on location\n",
    "\n",
    "def snap_to_grid(coordinate):\n",
    "    \"\"\"Snap a latitude or longitude to the nearest grid coordinate\"\"\"\n",
    "    return round(coordinate / GRID_SIZE) * GRID_SIZE\n",
    "\n",
    "# Snap squirrel data to grid\n",
    "data['GRID_LAT'] = data['Y'].apply(snap_to_grid)\n",
    "data['GRID_LONG'] = data['X'].apply(snap_to_grid)\n",
    "\n",
    "# Group by grid location\n",
    "grouped_squirrels = data.groupby(['GRID_LAT', 'GRID_LONG']).size().reset_index(name='counts')\n",
    "\n",
    "# Create the map focused on Central Park\n",
    "m = folium.Map(location=[data['GRID_LAT'].mean(), data['GRID_LONG'].mean()], zoom_start=15, tiles='CartoDB Positron')\n",
    "\n",
    "# Calculate max count for scaling purposes\n",
    "max_count = grouped_squirrels['counts'].max()\n",
    "\n",
    "# Adding circles to the map\n",
    "for idx, row in grouped_squirrels.iterrows():\n",
    "    # Scale the radius according to count\n",
    "    radius = (row['counts'] / max_count) * 20  # This scales the highest count to a radius of 20; adjust as necessary\n",
    "    \n",
    "    folium.CircleMarker(\n",
    "        location=(row['GRID_LAT'], row['GRID_LONG']),\n",
    "        radius=radius,\n",
    "        fill=True,\n",
    "        fill_opacity=0.7,\n",
    "        color='gray',\n",
    "        fill_color='gray'\n",
    "    ).add_to(m)\n",
    "\n",
    "# Display the map\n",
    "m\n",
    "\n",
    "# Save the map to an HTML file if needed\n",
    "m.save('squirrel_data.html')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "ca41b813",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Load the squirrel data\n",
    "data = pd.read_csv(\"../data/squirrel_data.csv\")\n",
    "\n",
    "# Drop NaN values and count the unique values of 'Primary Fur Color'\n",
    "color_counts = data['Primary Fur Color'].dropna().value_counts()\n",
    "\n",
    "# Plotting\n",
    "plt.figure(figsize=(10, 6))\n",
    "color_counts.plot(kind='bar', color='turquoise', edgecolor='black')\n",
    "\n",
    "# Titles and labels\n",
    "plt.title(\"Distribution of Squirrel Primary Fur Colors in Central Park\")\n",
    "plt.ylabel(\"Number of Squirrels\")\n",
    "plt.xlabel(\"Primary Fur Color\")\n",
    "plt.xticks(rotation=0)\n",
    "plt.tight_layout()\n",
    "\n",
    "# Show the plot\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "ecd5f025",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Load data from the CSV file\n",
    "data = pd.read_csv(\"../data/squirrel_data.csv\")\n",
    "\n",
    "# List of activities to analyze\n",
    "activities = ['Running', 'Chasing', 'Climbing', 'Eating', 'Foraging']\n",
    "\n",
    "# Group by each activity and count True occurrences\n",
    "activity_counts = data[activities].sum()\n",
    "\n",
    "# Create bar diagram\n",
    "activity_counts.plot(kind='bar', color='skyblue', edgecolor='black')\n",
    "plt.title(\"Squirrel Activities in Central Park\")\n",
    "plt.ylabel(\"Number of Occurrences\")\n",
    "plt.xlabel(\"Activity\")\n",
    "plt.xticks(rotation=45)\n",
    "plt.tight_layout()\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "d5d287af",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Load data from the CSV file\n",
    "data = pd.read_csv(\"../data/squirrel_data.csv\")\n",
    "\n",
    "# List of activities to analyze\n",
    "activities = ['Running', 'Chasing', 'Climbing', 'Eating', 'Foraging']\n",
    "\n",
    "# Group by each activity and count True occurrences\n",
    "activity_counts = data[activities].sum()\n",
    "\n",
    "# Create pie chart\n",
    "fig, ax = plt.subplots()\n",
    "activity_counts.plot(kind='pie', ax=ax, labels=activity_counts.index, autopct='%1.1f%%', startangle=90, colors=['#FF9999', '#66B2FF', '#99FF99', '#FFCC99', '#c2c2f0'])\n",
    "ax.set_ylabel('')  # Removes the default 'None' ylabel\n",
    "plt.title(\"Squirrel Activities in Central Park\")\n",
    "plt.tight_layout()\n",
    "\n",
    "# Display the plot\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}