Rock_Matching (Hub Rock Based Matching and Neighborhood Polygon Based Matching).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {},
   "outputs": [],
   "source": [
    "import warnings\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "id": "a7dyLY0gmaQ-"
   },
   "outputs": [],
   "source": [
    "import geopandas as gpd \n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "from math import pi, sqrt\n",
    "from matplotlib.patches import ConnectionPatch"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "id": "e3TbxEgxmYpt"
   },
   "outputs": [],
   "source": [
    "df = gpd.read_file(\"BF_10_03_2020.zip\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "id": "CmDKOGRxthYf"
   },
   "outputs": [],
   "source": [
    "df2 = gpd.read_file(\"BF_08_02_2020.zip\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 252,
     "status": "ok",
     "timestamp": 1655149325721,
     "user": {
      "displayName": "Krutarth Bhatt",
      "userId": "12834935479488028010"
     },
     "user_tz": 420
    },
    "id": "VLzV5WDej0r8",
    "outputId": "5619f7b4-22e5-4244-9476-0f6bab9ff981",
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mvt_id</th>\n",
       "      <th>DN</th>\n",
       "      <th>geometry</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>POLYGON ((-12386072.825 3999537.731, -12386072...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>POLYGON ((-12386070.156 3999538.766, -12386070...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>POLYGON ((-12386067.954 3999531.946, -12386067...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>POLYGON ((-12386071.341 3999548.349, -12386071...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>POLYGON ((-12386070.595 3999548.302, -12386070...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  mvt_id   DN                                           geometry\n",
       "0   None  4.0  POLYGON ((-12386072.825 3999537.731, -12386072...\n",
       "1   None  4.0  POLYGON ((-12386070.156 3999538.766, -12386070...\n",
       "2   None  4.0  POLYGON ((-12386067.954 3999531.946, -12386067...\n",
       "3   None  4.0  POLYGON ((-12386071.341 3999548.349, -12386071...\n",
       "4   None  4.0  POLYGON ((-12386070.595 3999548.302, -12386070..."
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "n_QtgWLEtwM2"
   },
   "source": [
    "# For df1 (Oct 2020) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "id": "hn15OU0Gnzg2"
   },
   "outputs": [],
   "source": [
    "df[\"area\"] = df.area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 498,
     "status": "ok",
     "timestamp": 1655149330008,
     "user": {
      "displayName": "Krutarth Bhatt",
      "userId": "12834935479488028010"
     },
     "user_tz": 420
    },
    "id": "krArQoe_rOO2",
    "outputId": "f082ecb2-d842-401f-ba1c-69a67824a4e1"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       POINT (-12386059.874 3999557.488)\n",
       "1       POINT (-12386059.123 3999554.551)\n",
       "2       POINT (-12386059.490 3999554.273)\n",
       "3       POINT (-12386058.413 3999557.855)\n",
       "4       POINT (-12386057.928 3999557.859)\n",
       "                      ...                \n",
       "7360    POINT (-12385927.687 3999598.412)\n",
       "7361    POINT (-12385920.748 3999494.777)\n",
       "7362    POINT (-12385922.418 3999593.478)\n",
       "7363    POINT (-12385922.833 3999591.188)\n",
       "7364    POINT (-12385921.579 3999589.459)\n",
       "Name: centroid, Length: 7365, dtype: geometry"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df['centroid'] = df.centroid\n",
    "df['centroid']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 501
    },
    "executionInfo": {
     "elapsed": 645,
     "status": "ok",
     "timestamp": 1655149330651,
     "user": {
      "displayName": "Krutarth Bhatt",
      "userId": "12834935479488028010"
     },
     "user_tz": 420
    },
    "id": "OARUH7DvolFJ",
    "outputId": "e602da0a-bad9-4d03-83a1-b835dc127083"
   },
   "outputs": [],
   "source": [
    "plt.figure(figsize=(16, 8))\n",
    "df[\"area\"].plot(kind='hist', bins = 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 919
    },
    "executionInfo": {
     "elapsed": 2330,
     "status": "ok",
     "timestamp": 1655149332975,
     "user": {
      "displayName": "Krutarth Bhatt",
      "userId": "12834935479488028010"
     },
     "user_tz": 420
    },
    "id": "KW1FZvJWorza",
    "outputId": "0d0e32a8-01c5-4910-82d8-6dc89797e6f7"
   },
   "outputs": [],
   "source": [
    "# plt.figure(figsize=(16, 16))\n",
    "df.plot(\"area\", legend=True, figsize=(16, 16))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 919
    },
    "executionInfo": {
     "elapsed": 1720,
     "status": "ok",
     "timestamp": 1655149334688,
     "user": {
      "displayName": "Krutarth Bhatt",
      "userId": "12834935479488028010"
     },
     "user_tz": 420
    },
    "id": "yCVZtf3sqXZH",
    "outputId": "db7e129a-96ff-4f0e-ef22-2997984b1019",
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "# plt.figure(figsize=(16, 16))\n",
    "df = df.set_geometry(\"centroid\")\n",
    "df.plot(\"area\", legend=True, figsize=(16, 16))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "id": "KJUL7k3srUHJ"
   },
   "outputs": [],
   "source": [
    "df = df.set_geometry(\"geometry\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "5dc1ncTIt0AS"
   },
   "source": [
    "# For df2 (Aug 2020)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "id": "sdUNU06zr2cZ"
   },
   "outputs": [],
   "source": [
    "df2[\"area\"] = df2.area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/"
    },
    "executionInfo": {
     "elapsed": 3,
     "status": "ok",
     "timestamp": 1655149342046,
     "user": {
      "displayName": "Krutarth Bhatt",
      "userId": "12834935479488028010"
     },
     "user_tz": 420
    },
    "id": "1FrpOJ3Ht5wh",
    "outputId": "f344b471-dea4-4bd2-c3aa-d61a9907277c"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0       POINT (-12386072.636 3999537.542)\n",
       "1       POINT (-12386070.184 3999538.509)\n",
       "2       POINT (-12386068.133 3999531.497)\n",
       "3       POINT (-12386071.411 3999548.372)\n",
       "4       POINT (-12386070.759 3999548.336)\n",
       "                      ...                \n",
       "3666    POINT (-12385914.798 3999616.488)\n",
       "3667    POINT (-12385914.654 3999615.601)\n",
       "3668    POINT (-12385912.517 3999528.752)\n",
       "3669    POINT (-12385912.519 3999539.630)\n",
       "3670    POINT (-12385913.220 3999609.211)\n",
       "Name: centroid, Length: 3671, dtype: geometry"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2['centroid'] = df2.centroid\n",
    "df2['centroid']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 501
    },
    "executionInfo": {
     "elapsed": 374,
     "status": "ok",
     "timestamp": 1655149342612,
     "user": {
      "displayName": "Krutarth Bhatt",
      "userId": "12834935479488028010"
     },
     "user_tz": 420
    },
    "id": "DqeyDVaUt7km",
    "outputId": "ed97449d-1a31-4e1a-82c9-dca0cf3a477c"
   },
   "outputs": [],
   "source": [
    "plt.figure(figsize=(16, 8))\n",
    "df2[\"area\"].plot(kind='hist', bins = 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "colab": {
     "base_uri": "https://localhost:8080/",
     "height": 919
    },
    "executionInfo": {
     "elapsed": 1682,
     "status": "ok",
     "timestamp": 1655149344580,
     "user": {
      "displayName": "Krutarth Bhatt",
      "userId": "12834935479488028010"
     },
     "user_tz": 420
    },
    "id": "w0WmMLhfuBgU",
    "outputId": "478655c6-2b28-405d-d0f5-434304ca4d7a"
   },
   "outputs": [],
   "source": [
    "df2.plot(\"area\", legend=True, figsize=(16, 16))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Calculating Ecc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Get Eccentricity \n",
    "\n",
    "import numpy as np\n",
    "from scipy.spatial.distance import euclidean\n",
    "\n",
    "def get_ecc(area_polygon):\n",
    "    points = np.array(area_polygon)\n",
    "\n",
    "    small_latwise = np.min(points[points[:, 0] == np.min(points[:, 0])], 0)\n",
    "    small_lonwise = np.min(points[points[:, 1] == np.min(points[:, 1])], 0)\n",
    "    big_latwise = np.max(points[points[:, 0] == np.max(points[:, 0])], 0)\n",
    "    big_lonwise = np.max(points[points[:, 1] == np.max(points[:, 1])], 0)\n",
    "    distance_lat = euclidean(big_latwise, small_latwise)\n",
    "    distance_lon = euclidean(big_lonwise, small_lonwise)\n",
    "    if distance_lat >= distance_lon:\n",
    "        major_axis_length = distance_lat\n",
    "        minor_axis_length = distance_lon\n",
    "    else:\n",
    "        major_axis_length = distance_lon\n",
    "        minor_axis_length = distance_lat\n",
    "    a = major_axis_length/2\n",
    "    b = minor_axis_length/2\n",
    "    ecc = np.sqrt(np.square(a)-np.square(b))/a\n",
    "    return ecc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['ecc'] = None\n",
    "\n",
    "for j in range(len(df)):\n",
    "    try:\n",
    "        area_polygon = [[i[1],i[0]] for i in list(df['geometry'][j].exterior.coords)]\n",
    "    except:\n",
    "        area_polygon = [[i[1],i[0]]  for poly in list(df['geometry'][j]) for i in list(poly.exterior.coords) ]\n",
    "    df['ecc'][j] = get_ecc(area_polygon)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2['ecc'] = None\n",
    "\n",
    "for j in range(len(df2)):\n",
    "    #print(j)\n",
    "    try:\n",
    "        area_polygon = [[i[1],i[0]] for i in list(df2['geometry'][j].exterior.coords)]\n",
    "    except:\n",
    "        area_polygon = [[i[1],i[0]]  for poly in list(df2['geometry'][j]) for i in list(poly.exterior.coords)]\n",
    "            \n",
    "    df2['ecc'][j] = get_ecc(area_polygon)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Perimeter of Polygons"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"perimeter\"] = df[\"geometry\"].length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2[\"perimeter\"] = df2[\"geometry\"].length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2['perimeter'].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Compactness"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pp_compactness(geom): # Polsby-Popper\n",
    "    p = geom.length\n",
    "    a = geom.area    \n",
    "    return (4*pi*a)/(p*p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"compactness\"] = df.geometry.apply(pp_compactness)\n",
    "df2[\"compactness\"] = df2.geometry.apply(pp_compactness)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2['compactness'].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Convexity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "def convexity(geom): # Polsby-Popper\n",
    "    p = geom.convex_hull.length\n",
    "    a = geom.length    \n",
    "    return (p/a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"convexity\"] = df.geometry.apply(convexity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2[\"convexity\"] = df2.geometry.apply(convexity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2[\"convexity\"].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Solidity"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "def solidity(geom): # Polsby-Popper\n",
    "    convex_area = geom.convex_hull.area\n",
    "    area = geom.area    \n",
    "    return (area/convex_area)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"solidity\"] = df.geometry.apply(solidity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2[\"solidity\"] = df.geometry.apply(solidity)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2[\"convexity\"].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Angle of Longest Segment of Min Rotated Rectangel "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [],
   "source": [
    "def getAngle(geom):\n",
    "    g = geom\n",
    "    a = g.minimum_rotated_rectangle\n",
    "    l = a.boundary\n",
    "    coords = [c for c in l.coords]\n",
    "    segments = [geometry.LineString([a, b]) for a, b in zip(coords,coords[1:])]\n",
    "    longest_segment = max(segments, key=lambda x: x.length)\n",
    "\n",
    "    p1, p2 = [c for c in longest_segment.coords]\n",
    "    angle = math.degrees(math.atan2(p2[1]-p1[1], p2[0]-p1[0]))\n",
    "    \n",
    "    return angle"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.set_geometry('geometry')\n",
    "df[\"angle\"] = df.geometry.apply(getAngle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = df2.set_geometry('geometry')\n",
    "df2[\"angle\"] = df2.geometry.apply(getAngle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 138,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df2[\"angle\"].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Vectorization "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['mvt_id', 'DN', 'geometry', 'area', 'centroid', 'ecc', 'perimeter',\n",
       "       'compactness', 'convexity', 'solidity', 'feature_vec',\n",
       "       'nearest_matching_polygon', 'min_ts_ss', 'matching_centroid', 'line',\n",
       "       'nearest_matching_polygon_Euclidean', 'min_Euclidean',\n",
       "       'matching_centroid_Euclidean', 'line_Euclidean', 'neighbor_polygon',\n",
       "       'neighbor_polygon_area', 'neighbor_polygon_centroid',\n",
       "       'neighbor_polygon_ecc', 'neighbor_polygon_perimeter',\n",
       "       'neighbor_polygon_compactness', 'neighbor_polygon_convexity',\n",
       "       'neighbor_polygon_solidity', 'neighbor_polygon_feature_vec',\n",
       "       'nearest_matching_neighbor_polygon', 'neighbor_polygon_min_ts_ss',\n",
       "       'matching_centroid_neighbor_polygon', 'line_neighbor_polygon', 'angle'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['feature_vec'] = None\n",
    "\n",
    "for i in range(len(df)):\n",
    "    df['feature_vec'][i] = [df[\"area\"][i], df['ecc'][i], df['perimeter'][i], df['compactness'][i], df['convexity'][i], df['solidity'][i], df['angle'][i]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2['feature_vec'] = None\n",
    "\n",
    "for i in range(len(df2)):\n",
    "    df2['feature_vec'][i] = [df2[\"area\"][i], df2['ecc'][i], df2['perimeter'][i], df2['compactness'][i], df2['convexity'][i], df2['solidity'][i], df2['angle'][i]]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TS_SS Similarity "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.23606797749979\n",
      "0.9999999999999998\n",
      "0.0004639582566999478\n"
     ]
    }
   ],
   "source": [
    "import math\n",
    "\n",
    "def Cosine(vec1, vec2) :\n",
    "    result = InnerProduct(vec1,vec2) / (VectorSize(vec1) * VectorSize(vec2))\n",
    "    return result\n",
    "\n",
    "def VectorSize(vec) :\n",
    "    return math.sqrt(sum(math.pow(v,2) for v in vec))\n",
    "\n",
    "def InnerProduct(vec1, vec2) :\n",
    "    return sum(v1*v2 for v1,v2 in zip(vec1,vec2))\n",
    "\n",
    "def Euclidean(vec1, vec2) :\n",
    "    return math.sqrt(sum(math.pow((v1-v2),2) for v1,v2 in zip(vec1, vec2)))\n",
    "\n",
    "def Theta(vec1, vec2) :\n",
    "    return math.acos(Cosine(vec1,vec2)) + math.radians(10)\n",
    "\n",
    "def Triangle(vec1, vec2) :\n",
    "    theta = math.radians(Theta(vec1,vec2))\n",
    "    return (VectorSize(vec1) * VectorSize(vec2) * math.sin(theta)) / 2\n",
    "\n",
    "def Magnitude_Difference(vec1, vec2) :\n",
    "    return abs(VectorSize(vec1) - VectorSize(vec2))\n",
    "\n",
    "def Sector(vec1, vec2) :\n",
    "    ED = Euclidean(vec1, vec2)\n",
    "    MD = Magnitude_Difference(vec1, vec2)\n",
    "    theta = Theta(vec1, vec2)\n",
    "    return math.pi * math.pow((ED+MD),2) * theta/360\n",
    "\n",
    "def TS_SS(vec1, vec2) :\n",
    "    return Triangle(vec1, vec2) * Sector(vec1, vec2)\n",
    "\n",
    "vec1 = [1,2]\n",
    "vec2 = [2,4]\n",
    "\n",
    "print(Euclidean(vec1,vec2))\n",
    "print(Cosine(vec1,vec2))\n",
    "print(TS_SS(vec1,vec2))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Individual Rock Matching based on feature_vec with TS_SS Distance"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['nearest_matching_polygon'] = None\n",
    "df['min_ts_ss'] = 1000000000.0\n",
    "\n",
    "for i in range(len(df)):\n",
    "    \n",
    "    for j in range(len(df2)):\n",
    "        \n",
    "        curr_ts_ss = TS_SS(df['feature_vec'][i], df2['feature_vec'][j])\n",
    "        \n",
    "        if df['min_ts_ss'][i] > curr_ts_ss:\n",
    "            \n",
    "            df['min_ts_ss'][i] = curr_ts_ss\n",
    "            df['nearest_matching_polygon'][i] = j"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Individual Rock Matching based on feature_vec with Euclidean Distance "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['nearest_matching_polygon_Euclidean'] = None\n",
    "df['min_Euclidean'] = 1000000000.0\n",
    "\n",
    "for i in range(len(df)):\n",
    "    \n",
    "    for j in range(len(df2)):\n",
    "        \n",
    "        curr_dist = Euclidean(df['feature_vec'][i], df2['feature_vec'][j])\n",
    "        \n",
    "        if df['min_Euclidean'][i] > curr_dist:\n",
    "            \n",
    "            df['min_Euclidean'][i] = curr_dist\n",
    "            df['nearest_matching_polygon_Euclidean'][i] = j"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:ylabel='Frequency'>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['nearest_matching_polygon_Euclidean'].plot(kind='hist')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_centroid_and_line(name, df):\n",
    "    \n",
    "    df['matching_centroid'] = None\n",
    "    \n",
    "    for i in range(len(df)):\n",
    "        df['matching_centroid'][i] = df2['centroid'][df['nearest_matching_polygon'][i]]\n",
    "    \n",
    "    df['line'] = df.apply(lambda x: LineString([x['centroid'], x['matching_centroid']]), axis=1)\n",
    "    \n",
    "    return df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = get_centroid_and_line('', df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>mvt_id</th>\n",
       "      <th>DN</th>\n",
       "      <th>geometry</th>\n",
       "      <th>area</th>\n",
       "      <th>centroid</th>\n",
       "      <th>ecc</th>\n",
       "      <th>perimeter</th>\n",
       "      <th>compactness</th>\n",
       "      <th>convexity</th>\n",
       "      <th>solidity</th>\n",
       "      <th>feature_vec</th>\n",
       "      <th>nearest_matching_polygon</th>\n",
       "      <th>min_ts_ss</th>\n",
       "      <th>matching_centroid</th>\n",
       "      <th>line</th>\n",
       "      <th>nearest_matching_polygon_Euclidean</th>\n",
       "      <th>min_Euclidean</th>\n",
       "      <th>matching_centroid_Euclidean</th>\n",
       "      <th>line_Euclidean</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>POLYGON ((-12386059.874 3999557.689, -12386059...</td>\n",
       "      <td>0.110830</td>\n",
       "      <td>POINT (-12386059.874 3999557.488)</td>\n",
       "      <td>0.15098</td>\n",
       "      <td>1.263292</td>\n",
       "      <td>0.872687</td>\n",
       "      <td>0.990184</td>\n",
       "      <td>0.985294</td>\n",
       "      <td>[0.1108296865834059, 0.1509796180007819, 1.263...</td>\n",
       "      <td>1757</td>\n",
       "      <td>1.260954e-08</td>\n",
       "      <td>POINT (-12386018.341165133 3999600.420887767)</td>\n",
       "      <td>LINESTRING (-12386059.874023465 3999557.488317...</td>\n",
       "      <td>1757</td>\n",
       "      <td>0.027541</td>\n",
       "      <td>POINT (-12386018.341165133 3999600.420887767)</td>\n",
       "      <td>LINESTRING (-12386059.874023465 3999557.488317...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>POLYGON ((-12386059.071 3999554.741, -12386059...</td>\n",
       "      <td>0.080184</td>\n",
       "      <td>POINT (-12386059.123 3999554.551)</td>\n",
       "      <td>0.570022</td>\n",
       "      <td>1.116324</td>\n",
       "      <td>0.808568</td>\n",
       "      <td>0.955750</td>\n",
       "      <td>0.947044</td>\n",
       "      <td>[0.08018392882467013, 0.5700218614816318, 1.11...</td>\n",
       "      <td>2233</td>\n",
       "      <td>1.746286e-08</td>\n",
       "      <td>POINT (-12386005.721814252 3999627.4292108486)</td>\n",
       "      <td>LINESTRING (-12386059.122707251 3999554.551036...</td>\n",
       "      <td>2658</td>\n",
       "      <td>0.034141</td>\n",
       "      <td>POINT (-12385983.839206252 3999620.2764589903)</td>\n",
       "      <td>LINESTRING (-12386059.122707251 3999554.551036...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>POLYGON ((-12386059.538 3999554.349, -12386059...</td>\n",
       "      <td>0.024726</td>\n",
       "      <td>POINT (-12386059.490 3999554.273)</td>\n",
       "      <td>0.667377</td>\n",
       "      <td>0.605104</td>\n",
       "      <td>0.848586</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>[0.02472555465567231, 0.6673773262089017, 0.60...</td>\n",
       "      <td>770</td>\n",
       "      <td>3.694478e-08</td>\n",
       "      <td>POINT (-12386040.389931975 3999599.5885835094)</td>\n",
       "      <td>LINESTRING (-12386059.490237614 3999554.272786...</td>\n",
       "      <td>770</td>\n",
       "      <td>0.039206</td>\n",
       "      <td>POINT (-12386040.389931975 3999599.5885835094)</td>\n",
       "      <td>LINESTRING (-12386059.490237614 3999554.272786...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>POLYGON ((-12386058.418 3999557.932, -12386058...</td>\n",
       "      <td>0.016455</td>\n",
       "      <td>POINT (-12386058.413 3999557.855)</td>\n",
       "      <td>0.54139</td>\n",
       "      <td>0.505949</td>\n",
       "      <td>0.807766</td>\n",
       "      <td>0.993694</td>\n",
       "      <td>0.976744</td>\n",
       "      <td>[0.01645468251457335, 0.5413902783682365, 0.50...</td>\n",
       "      <td>3101</td>\n",
       "      <td>7.277063e-08</td>\n",
       "      <td>POINT (-12385963.831667084 3999606.1305890945)</td>\n",
       "      <td>LINESTRING (-12386058.412541218 3999557.854510...</td>\n",
       "      <td>3101</td>\n",
       "      <td>0.071124</td>\n",
       "      <td>POINT (-12385963.831667084 3999606.1305890945)</td>\n",
       "      <td>LINESTRING (-12386058.412541218 3999557.854510...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>None</td>\n",
       "      <td>4.0</td>\n",
       "      <td>POLYGON ((-12386057.896 3999557.932, -12386057...</td>\n",
       "      <td>0.018152</td>\n",
       "      <td>POINT (-12386057.928 3999557.859)</td>\n",
       "      <td>0.173785</td>\n",
       "      <td>0.492649</td>\n",
       "      <td>0.939872</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>[0.018152387727323496, 0.17378535599577266, 0....</td>\n",
       "      <td>3377</td>\n",
       "      <td>1.581000e-07</td>\n",
       "      <td>POINT (-12385950.665486898 3999567.4300863277)</td>\n",
       "      <td>LINESTRING (-12386057.927524421 3999557.858675...</td>\n",
       "      <td>3377</td>\n",
       "      <td>0.102670</td>\n",
       "      <td>POINT (-12385950.665486898 3999567.4300863277)</td>\n",
       "      <td>LINESTRING (-12386057.927524421 3999557.858675...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  mvt_id   DN                                           geometry      area  \\\n",
       "0   None  4.0  POLYGON ((-12386059.874 3999557.689, -12386059...  0.110830   \n",
       "1   None  4.0  POLYGON ((-12386059.071 3999554.741, -12386059...  0.080184   \n",
       "2   None  4.0  POLYGON ((-12386059.538 3999554.349, -12386059...  0.024726   \n",
       "3   None  4.0  POLYGON ((-12386058.418 3999557.932, -12386058...  0.016455   \n",
       "4   None  4.0  POLYGON ((-12386057.896 3999557.932, -12386057...  0.018152   \n",
       "\n",
       "                            centroid       ecc  perimeter  compactness  \\\n",
       "0  POINT (-12386059.874 3999557.488)   0.15098   1.263292     0.872687   \n",
       "1  POINT (-12386059.123 3999554.551)  0.570022   1.116324     0.808568   \n",
       "2  POINT (-12386059.490 3999554.273)  0.667377   0.605104     0.848586   \n",
       "3  POINT (-12386058.413 3999557.855)   0.54139   0.505949     0.807766   \n",
       "4  POINT (-12386057.928 3999557.859)  0.173785   0.492649     0.939872   \n",
       "\n",
       "   convexity  solidity                                        feature_vec  \\\n",
       "0   0.990184  0.985294  [0.1108296865834059, 0.1509796180007819, 1.263...   \n",
       "1   0.955750  0.947044  [0.08018392882467013, 0.5700218614816318, 1.11...   \n",
       "2   1.000000  1.000000  [0.02472555465567231, 0.6673773262089017, 0.60...   \n",
       "3   0.993694  0.976744  [0.01645468251457335, 0.5413902783682365, 0.50...   \n",
       "4   1.000000  1.000000  [0.018152387727323496, 0.17378535599577266, 0....   \n",
       "\n",
       "  nearest_matching_polygon     min_ts_ss  \\\n",
       "0                     1757  1.260954e-08   \n",
       "1                     2233  1.746286e-08   \n",
       "2                      770  3.694478e-08   \n",
       "3                     3101  7.277063e-08   \n",
       "4                     3377  1.581000e-07   \n",
       "\n",
       "                                matching_centroid  \\\n",
       "0   POINT (-12386018.341165133 3999600.420887767)   \n",
       "1  POINT (-12386005.721814252 3999627.4292108486)   \n",
       "2  POINT (-12386040.389931975 3999599.5885835094)   \n",
       "3  POINT (-12385963.831667084 3999606.1305890945)   \n",
       "4  POINT (-12385950.665486898 3999567.4300863277)   \n",
       "\n",
       "                                                line  \\\n",
       "0  LINESTRING (-12386059.874023465 3999557.488317...   \n",
       "1  LINESTRING (-12386059.122707251 3999554.551036...   \n",
       "2  LINESTRING (-12386059.490237614 3999554.272786...   \n",
       "3  LINESTRING (-12386058.412541218 3999557.854510...   \n",
       "4  LINESTRING (-12386057.927524421 3999557.858675...   \n",
       "\n",
       "  nearest_matching_polygon_Euclidean  min_Euclidean  \\\n",
       "0                               1757       0.027541   \n",
       "1                               2658       0.034141   \n",
       "2                                770       0.039206   \n",
       "3                               3101       0.071124   \n",
       "4                               3377       0.102670   \n",
       "\n",
       "                      matching_centroid_Euclidean  \\\n",
       "0   POINT (-12386018.341165133 3999600.420887767)   \n",
       "1  POINT (-12385983.839206252 3999620.2764589903)   \n",
       "2  POINT (-12386040.389931975 3999599.5885835094)   \n",
       "3  POINT (-12385963.831667084 3999606.1305890945)   \n",
       "4  POINT (-12385950.665486898 3999567.4300863277)   \n",
       "\n",
       "                                      line_Euclidean  \n",
       "0  LINESTRING (-12386059.874023465 3999557.488317...  \n",
       "1  LINESTRING (-12386059.122707251 3999554.551036...  \n",
       "2  LINESTRING (-12386059.490237614 3999554.272786...  \n",
       "3  LINESTRING (-12386058.412541218 3999557.854510...  \n",
       "4  LINESTRING (-12386057.927524421 3999557.858675...  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sorted = df.sort_values('min_ts_ss')\n",
    "df_sorted.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(figsize = (10,10))\n",
    "fig.patch.set_facecolor('white')\n",
    "\n",
    "\n",
    "df2.plot(color = 'g', ax=ax, figsize=(10,10))\n",
    "df.plot(color = 'r', ax=ax , figsize=(10,10))\n",
    "\n",
    "for i in range(0, 10):\n",
    "        #i = 10\n",
    "        xy = [y for y in df_sorted['line'][i].coords]\n",
    "        #xy = (x[i],y[i])\n",
    "        con = ConnectionPatch(xyA=xy[1], xyB=xy[0], coordsA=\"data\", coordsB=\"data\",\n",
    "                              axesA=ax, axesB=ax, color=\"blue\")\n",
    "        ax.add_artist(con)\n",
    "\n",
    "        ax.plot(xy[1][0],xy[1][1],'ro',markersize=10-i,color='g')\n",
    "        ax.plot(xy[0][0],xy[0][1],'ro',markersize=10-i, color='r')\n",
    "\n",
    "fig.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Experiment with Nearest Neighbor Polygons (Creating a Polygon using the nearest neighbors)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.set_geometry('geometry')\n",
    "df2 = df2.set_geometry('geometry')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "from shapely import geometry\n",
    "\n",
    "def get_neighborhood_polygon(df, top=5):\n",
    "    \n",
    "    df['neighbor_polygon'] = None\n",
    "    x = df.geometry.apply(lambda g: df.distance(g))\n",
    "    \n",
    "    for i in range(len(df)):\n",
    "        y = x[i].sort_values()[:top]\n",
    "        df['neighbor_polygon'][i] = geometry.Polygon([[df['centroid'][j].x, df['centroid'][j].y] for j in y.index])\n",
    "    \n",
    "    return df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = get_neighborhood_polygon(df, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2 = get_neighborhood_polygon(df2, 10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [],
   "source": [
    "# neighborhood_\n",
    "\n",
    "def get_neighbor_polygon_features(df):\n",
    "    df = df.set_geometry('neighbor_polygon')\n",
    "\n",
    "    df[\"neighbor_polygon_area\"] = df.area\n",
    "    df[\"neighbor_polygon_centroid\"] = df.centroid \n",
    "\n",
    "    df['neighbor_polygon_ecc'] = None\n",
    "\n",
    "    for j in range(len(df)):\n",
    "        try:\n",
    "            area_polygon = [[i[1],i[0]] for i in list(df['neighbor_polygon'][j].exterior.coords)]\n",
    "        except:\n",
    "            area_polygon = [[i[1],i[0]]  for poly in list(df['neighbor_polygon'][j]) for i in list(poly.exterior.coords) ]\n",
    "        df['neighbor_polygon_ecc'][j] = get_ecc(area_polygon)\n",
    "\n",
    "    df[\"neighbor_polygon_perimeter\"] = df[\"neighbor_polygon\"].length\n",
    "    df[\"neighbor_polygon_compactness\"] = df.geometry.apply(pp_compactness)\n",
    "    df[\"neighbor_polygon_convexity\"] = df.geometry.apply(convexity)\n",
    "    df[\"neighbor_polygon_solidity\"] = df.geometry.apply(solidity)\n",
    "    df[\"neighbor_polygon_angle\"] = df.geometry.apply(getAngle)\n",
    "    return df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = get_neighbor_polygon_features(df)\n",
    "df2 = get_neighbor_polygon_features(df2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['neighbor_polygon_feature_vec'] = None\n",
    "\n",
    "for i in range(len(df)):\n",
    "    df['neighbor_polygon_feature_vec'][i] = [df[\"neighbor_polygon_area\"][i], df['neighbor_polygon_ecc'][i], df['neighbor_polygon_perimeter'][i], df['neighbor_polygon_compactness'][i], df['neighbor_polygon_convexity'][i], df['neighbor_polygon_solidity'][i], df[\"neighbor_polygon_angle\"][i]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 157,
   "metadata": {},
   "outputs": [],
   "source": [
    "df2['neighbor_polygon_feature_vec'] = None\n",
    "\n",
    "for i in range(len(df2)):\n",
    "    df2['neighbor_polygon_feature_vec'][i] = [df2[\"neighbor_polygon_area\"][i], df2['neighbor_polygon_ecc'][i], df2['neighbor_polygon_perimeter'][i], df2['neighbor_polygon_compactness'][i], df2['neighbor_polygon_convexity'][i], df2['neighbor_polygon_solidity'][i], df2[\"neighbor_polygon_angle\"][i]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [],
   "source": [
    "df['nearest_matching_neighbor_polygon'] = None\n",
    "df['neighbor_polygon_min_ts_ss'] = 1000000000.0\n",
    "\n",
    "for i in range(len(df)):\n",
    "    \n",
    "    for j in range(len(df2)):\n",
    "        \n",
    "        curr_ts_ss = TS_SS(df['neighbor_polygon_feature_vec'][i], df2['neighbor_polygon_feature_vec'][j])\n",
    "        \n",
    "        if df['neighbor_polygon_min_ts_ss'][i] > curr_ts_ss:\n",
    "            \n",
    "            df['neighbor_polygon_min_ts_ss'][i] = curr_ts_ss\n",
    "            df['nearest_matching_neighbor_polygon'][i] = j"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 161,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_centroid_and_line_neighbor_polygon(name, df):\n",
    "    \n",
    "    df['matching_centroid_'+name] = None\n",
    "    \n",
    "    for i in range(len(df)):\n",
    "        df['matching_centroid_'+name][i] = df2[name+'_centroid'][df['nearest_matching_'+name][i]]\n",
    "    \n",
    "    df['line_'+name] = df.apply(lambda x: LineString([x[name+'_centroid'], x['matching_centroid_'+name]]), axis=1)\n",
    "    \n",
    "    return df "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = get_centroid_and_line_neighbor_polygon('neighbor_polygon', df)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 163,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_sorted = df.sort_values('neighbor_polygon_min_ts_ss')\n",
    "df_sorted.reset_index(drop=True, inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 168,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = df.set_geometry('geometry')\n",
    "df2 = df2.set_geometry('geometry')\n",
    "\n",
    "fig, ax = plt.subplots(figsize = (10,10))\n",
    "fig.patch.set_facecolor('white')\n",
    "\n",
    "\n",
    "df2.plot(color = 'g', ax=ax, figsize=(10,10))\n",
    "df.plot(color = 'r', ax=ax , figsize=(10,10))\n",
    "n = 10\n",
    "for i in range(1, 2):\n",
    "        #i = 10\n",
    "        xy = [y for y in df_sorted['line_neighbor_polygon'][i].coords]\n",
    "        #xy = (x[i],y[i])\n",
    "        con = ConnectionPatch(xyA=xy[1], xyB=xy[0], coordsA=\"data\", coordsB=\"data\",\n",
    "                              axesA=ax, axesB=ax, color=\"blue\")\n",
    "        ax.add_artist(con)\n",
    "        ms = n-i\n",
    "#         ms = 5\n",
    "        ax.plot(xy[1][0],xy[1][1],'ro',markersize=ms,color='g')\n",
    "        ax.plot(xy[0][0],xy[0][1],'ro',markersize=ms, color='r')\n",
    "\n",
    "fig.show()"
   ]
  }
 ],
 "metadata": {
  "colab": {
   "authorship_tag": "ABX9TyOeYKAzcQqeq6FIgLSdtaPf",
   "collapsed_sections": [
    "n_QtgWLEtwM2",
    "5dc1ncTIt0AS",
    "RcJPQqPZT3na"
   ],
   "mount_file_id": "1BL0HmNwDCnnVLLXQU6V6XdD2AeKiXt8A",
   "name": "Rock_Matching.ipynb",
   "provenance": []
  },
  "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": "3.7.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}