9.1  Results - Route Prediction.ipynb

{
 "cells": [
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   "cell_type": "code",
   "execution_count": 1,
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   "outputs": [
    {
     "name": "stdout",
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     "text": [
      "Original NE: POINT (31.5 66.8)\n",
      "Original SW: POINT (8.5 53)\n",
      "Transformed NE: (697681.2863658136, 7416224.9393330095)\n",
      "Transformed SW: (-735260.4063631196, 6033964.466017238)\n",
      "col_count 573\n",
      "row_count 552\n",
      "grid_size 316296\n",
      "Original NE: POINT (31.5 66.8)\n",
      "Original SW: POINT (8.5 53)\n",
      "Transformed NE: (697681.2863658136, 7416224.9393330095)\n",
      "Transformed SW: (-735260.4063631196, 6033964.466017238)\n",
      "col_count 286\n",
      "row_count 276\n",
      "grid_size 78936\n"
     ]
    }
   ],
   "source": [
    "from pygradu import shortest_path\n",
    "from pygradu import gridify\n",
    "from pygradu import portcalls\n",
    "\n",
    "import shapely.geometry\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import importlib\n",
    "\n",
    "RESULTS_DIR = 'data/results/'\n",
    "DATASET_DIR = 'data/datasets/'\n",
    "SHAPES_DIR = 'data/shapes/'\n",
    "\n",
    "importlib.reload(gridify)\n",
    "\n",
    "grid_2500m = gridify.area_to_grid(side_length=2500)\n",
    "grid_5km = gridify.area_to_grid(side_length=5000)\n",
    "\n",
    "validation_voyages_summer = pd.read_csv(DATASET_DIR + 'validation_set_summer.csv', index_col=0, parse_dates = ['timestamp', 'ata', 'atd'])\n",
    "validation_voyages_winter = pd.read_csv(DATASET_DIR + 'validation_set_winter.csv', index_col=0, parse_dates = ['timestamp', 'ata', 'atd'])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import json\n",
    "from shapely.geometry import shape, Point\n",
    "# depending on your version, use: from shapely.geometry import shape, Point\n",
    "\n",
    "# load GeoJSON file containing sectors\n",
    "with open(SHAPES_DIR + 'sea_areas.geojson') as f:\n",
    "    sea_areas = json.load(f)\n",
    "\n",
    "def get_sea_area_from_latlon(sea_areas, lat, lon):\n",
    "    point = Point(lon, lat)\n",
    "    # check each polygon to see if it contains the point\n",
    "    for feature in sea_areas['features']:\n",
    "        polygon = shape(feature['geometry'])\n",
    "        if polygon.contains(point):\n",
    "            return feature['properties']['id']\n",
    "    return -1\n",
    "\n",
    "def get_sea_area_name_from_latlon(sea_areas, lat, lon):\n",
    "    point = Point(lon, lat)\n",
    "    # check each polygon to see if it contains the point\n",
    "    for feature in sea_areas['features']:\n",
    "        polygon = shape(feature['geometry'])\n",
    "        if polygon.contains(point):\n",
    "            return feature['properties']['name']\n",
    "    return 'South'\n",
    "\n",
    "def get_sea_area_name(sea_areas, _id):\n",
    "    # check each polygon to see if it contains the point\n",
    "    for feature in sea_areas['features']:\n",
    "        polygon = shape(feature['geometry'])\n",
    "        if int(feature['properties']['id']) == int(_id):\n",
    "            return feature['properties']['name']\n",
    "    return 'South'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 20.4 s, sys: 43.9 ms, total: 20.5 s\n",
      "Wall time: 20.5 s\n",
      "CPU times: user 11 s, sys: 37.7 ms, total: 11.1 s\n",
      "Wall time: 11.1 s\n"
     ]
    },
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>voyage</th>\n",
       "      <th>voyage_length</th>\n",
       "      <th>start_end_length</th>\n",
       "      <th>difference</th>\n",
       "      <th>travel_time</th>\n",
       "      <th>avg_speed</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>14</td>\n",
       "      <td>393.001082</td>\n",
       "      <td>331.910305</td>\n",
       "      <td>18.405809</td>\n",
       "      <td>1366.066667</td>\n",
       "      <td>4.801574</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>67</td>\n",
       "      <td>509.627510</td>\n",
       "      <td>457.719607</td>\n",
       "      <td>11.340546</td>\n",
       "      <td>1442.483333</td>\n",
       "      <td>5.888805</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>88</td>\n",
       "      <td>612.745803</td>\n",
       "      <td>438.626106</td>\n",
       "      <td>39.696611</td>\n",
       "      <td>1723.316667</td>\n",
       "      <td>5.917536</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>93</td>\n",
       "      <td>1330.034728</td>\n",
       "      <td>1137.075860</td>\n",
       "      <td>16.969745</td>\n",
       "      <td>3856.666667</td>\n",
       "      <td>5.751125</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>94</td>\n",
       "      <td>842.476910</td>\n",
       "      <td>616.033928</td>\n",
       "      <td>36.758200</td>\n",
       "      <td>2349.216667</td>\n",
       "      <td>5.984929</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   voyage  voyage_length  start_end_length  difference  travel_time  avg_speed\n",
       "0      14     393.001082        331.910305   18.405809  1366.066667   4.801574\n",
       "1      67     509.627510        457.719607   11.340546  1442.483333   5.888805\n",
       "2      88     612.745803        438.626106   39.696611  1723.316667   5.917536\n",
       "3      93    1330.034728       1137.075860   16.969745  3856.666667   5.751125\n",
       "4      94     842.476910        616.033928   36.758200  2349.216667   5.984929"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "importlib.reload(portcalls)\n",
    "\n",
    "%time voyages_summer_lengths = portcalls.get_voyage_lengths(validation_voyages_summer)\n",
    "%time voyages_winter_lengths = portcalls.get_voyage_lengths(validation_voyages_winter)\n",
    "voyages_summer_lengths.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "157\n"
     ]
    }
   ],
   "source": [
    "ports = pd.read_csv(DATASET_DIR + 'ports.csv')\n",
    "ports = ports[['port_id', 'lat', 'lon']]\n",
    "print(len(ports))\n",
    "\n",
    "ais_ports = pd.read_csv(DATASET_DIR + 'ports_calculated_from_ais.csv')\n",
    "ais_ports = ais_ports[['id', 'lat', 'lon']]\n",
    "ais_ports.columns=['port_id', 'lat', 'lon']\n",
    "\n",
    "ports = ports.append(ais_ports)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "importlib.reload(portcalls)\n",
    "summer_results_5km_adj = pd.read_csv(RESULTS_DIR + 'summer_results_5km_adj_to_end.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "\n",
    "voyages_summer = summer_results_5km_adj[['voyage', 'vessel_type', 'end_port', 'end_port_sea_area', 'start_time']].drop_duplicates()\n",
    "voyages_summer['start_lat'] = voyages_summer.apply(lambda row: summer_results_5km_adj[summer_results_5km_adj.voyage == row.voyage].head(1).iloc[0].actual_lat, axis=1)\n",
    "voyages_summer['start_lon'] = voyages_summer.apply(lambda row: summer_results_5km_adj[summer_results_5km_adj.voyage == row.voyage].head(1).iloc[0].actual_lon, axis=1)\n",
    "voyages_summer['start_sea_area'] = voyages_summer.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.start_lat, row.start_lon), axis=1)\n",
    "voyages_summer['start_port'] = voyages_summer.apply(lambda row: portcalls.get_port_id(row, ports), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "importlib.reload(portcalls)\n",
    "\n",
    "winter_results_5km_adj_no_dirway = pd.read_csv(RESULTS_DIR + 'winter_results_to_end_5km_adj_no_dirways.csv', index_col=0, parse_dates = ['start_time', 'pred_time'])\n",
    "\n",
    "voyages_winter = winter_results_5km_adj_no_dirway[['voyage', 'vessel_type', 'end_port', 'end_port_sea_area', 'start_time']].drop_duplicates()\n",
    "voyages_winter['start_lat'] = voyages_winter.apply(lambda row: winter_results_5km_adj_no_dirway[winter_results_5km_adj_no_dirway.voyage == row.voyage].head(1).iloc[0].actual_lat, axis=1)\n",
    "voyages_winter['start_lon'] = voyages_winter.apply(lambda row: winter_results_5km_adj_no_dirway[winter_results_5km_adj_no_dirway.voyage == row.voyage].head(1).iloc[0].actual_lon, axis=1)\n",
    "voyages_winter['start_sea_area'] = voyages_winter.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.start_lat, row.start_lon), axis=1)\n",
    "voyages_winter['start_port'] = voyages_summer.apply(lambda row: portcalls.get_port_id(row, ports), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def plot_intervals(results, col_x, col_y, interval):\n",
    "    bins = []\n",
    "    labels = []\n",
    "\n",
    "    i = 0\n",
    "    while i < results[col_x].max():\n",
    "        bins.append(i)\n",
    "        labels.append(int(i))\n",
    "        i += interval\n",
    "    del labels[0]\n",
    "\n",
    "    results['interval'] = pd.cut(results[col_x], bins=bins, labels=labels)\n",
    "\n",
    "    x = []\n",
    "    y = []\n",
    "\n",
    "    for group, voyage_results in results.groupby('interval'):\n",
    "        if(len(voyage_results)) < 3:\n",
    "            continue\n",
    "        y.append(voyage_results[col_y].median())\n",
    "        if np.isnan(group):\n",
    "            group = 0\n",
    "        x.append(group)\n",
    "        \n",
    "    return x, y"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyproj\n",
    "\n",
    "from shapely.geometry import Polygon\n",
    "def calculate_route_accuracy(routes, test_voyages):\n",
    "    routes_groupped = routes.groupby('voyage')\n",
    "    areas = []\n",
    "    for voyage, route in routes_groupped:\n",
    "        real_route = test_voyages[(test_voyages.voyage == voyage)]\n",
    "\n",
    "        x_y_curve1 = np.asarray(pyproj.transform(grid_5km.p_from, grid_5km.p_to, route.loc[:, ('lon')].values, route.loc[:, ('lat')].values))\n",
    "        x_y_curve2 = np.asarray(pyproj.transform(grid_5km.p_from, grid_5km.p_to, real_route.loc[:, ('lon')].values, real_route.loc[:, ('lat')].values))\n",
    "                \n",
    "        polygon_points = [] #creates a empty list where we will append the points to create the polygon\n",
    "\n",
    "        for i in range(len(x_y_curve1[0])):\n",
    "            xy = [x_y_curve1[0][i], x_y_curve1[1][i]]\n",
    "            polygon_points.append(xy) #append all xy points for curve 1\n",
    "\n",
    "        for i in reversed(range(len(x_y_curve2[0]))):\n",
    "            #print(i)\n",
    "            xy = [x_y_curve2[0][i], x_y_curve2[1][i]]\n",
    "            polygon_points.append(xy) #append all xy points for curve 2 in the reverse order (from last point to first point)\n",
    "\n",
    "        xy = [x_y_curve1[0][0], x_y_curve1[1][0]]\n",
    "        polygon_points.append(xy) #append the first point in curve 1 again, to it \"closes\" the polygon\n",
    "\n",
    "        polygon = Polygon(polygon_points)\n",
    "        areas.append([voyage, round(polygon.area/1000000, 2), real_route.iloc[0].end_port_sea_area])\n",
    "    return pd.DataFrame(data=areas, columns=['voyage', 'diff_area_km2', 'end_port_sea_area'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pyproj\n",
    "\n",
    "from shapely.geometry import Polygon\n",
    "def calculate_route_accuracy_by_sea_area(routes, test_voyages, sea_area):\n",
    "    routes_groupped = routes.groupby('voyage')\n",
    "    areas = []\n",
    "    for voyage, route in routes_groupped:\n",
    "        real_route = test_voyages[(test_voyages.voyage == voyage) & (test_voyages.in_sea_area == sea_area)]\n",
    "        \n",
    "        route = route[route.in_sea_area == sea_area]\n",
    "        \n",
    "        if(len(route) < 3 or len(real_route) < 3):\n",
    "            continue\n",
    "\n",
    "        x_y_curve1 = np.asarray(pyproj.transform(grid_5km.p_from, grid_5km.p_to, route.loc[:, ('lon')].values, route.loc[:, ('lat')].values))\n",
    "        x_y_curve2 = np.asarray(pyproj.transform(grid_5km.p_from, grid_5km.p_to, real_route.loc[:, ('lon')].values, real_route.loc[:, ('lat')].values))\n",
    "                \n",
    "        polygon_points = [] #creates a empty list where we will append the points to create the polygon\n",
    "\n",
    "        for i in range(len(x_y_curve1[0])):\n",
    "            xy = [x_y_curve1[0][i], x_y_curve1[1][i]]\n",
    "            polygon_points.append(xy) #append all xy points for curve 1\n",
    "\n",
    "        for i in reversed(range(len(x_y_curve2[0]))):\n",
    "            #print(i)\n",
    "            xy = [x_y_curve2[0][i], x_y_curve2[1][i]]\n",
    "            polygon_points.append(xy) #append all xy points for curve 2 in the reverse order (from last point to first point)\n",
    "\n",
    "        xy = [x_y_curve1[0][0], x_y_curve1[1][0]]\n",
    "        polygon_points.append(xy) #append the first point in curve 1 again, to it \"closes\" the polygon\n",
    "\n",
    "        polygon = Polygon(polygon_points)\n",
    "        areas.append([voyage, round(polygon.area/1000000, 2), real_route.iloc[0].end_port_sea_area])\n",
    "    return pd.DataFrame(data=areas, columns=['voyage', 'diff_area_km2', 'end_port_sea_area'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "sea_area_ids = []\n",
    "for feature in sea_areas['features']:\n",
    "    sea_area_ids.append(feature['properties']['id'])\n",
    "\n",
    "def calculate_route_results(route_results, voyages, voyage_lengts):\n",
    "    \n",
    "    sea_area_accuracies = []\n",
    "    for sea_area in sea_area_ids:\n",
    "        if(sea_area == -1):\n",
    "            continue\n",
    "        voyage_in_sea_areas = route_results[route_results.in_sea_area == sea_area][['voyage', 'in_sea_area']].drop_duplicates()\n",
    "        sea_area_results = route_results[route_results.voyage.isin(voyage_in_sea_areas.voyage.values)]\n",
    "        accuracy = calculate_route_accuracy_by_sea_area(sea_area_results, voyages, sea_area).drop_duplicates()\n",
    "        voyage_lengths = voyage_lengts[voyage_lengts.voyage.isin(sea_area_results.voyage.drop_duplicates().values)].voyage_length\n",
    "        sea_area_accuracies.append([sea_area, accuracy.median().diff_area_km2, accuracy.mean().diff_area_km2, accuracy.std().diff_area_km2, len(accuracy)])\n",
    "\n",
    "    sea_area_accuracies = pd.DataFrame(data=sea_area_accuracies, columns=['sea_area', 'median_diff_area_km2', 'mean_diff_area_km2', 'std_diff_area_km2', 'count'])\n",
    "    sea_area_accuracies['sea_area_name'] = sea_area_accuracies.apply(lambda row: get_sea_area_name(sea_areas, row.sea_area), axis=1)\n",
    "    sea_area_accuracies = sea_area_accuracies[['sea_area_name', 'median_diff_area_km2', 'mean_diff_area_km2', 'std_diff_area_km2', 'count']].sort_values(by='median_diff_area_km2')\n",
    "    return sea_area_accuracies"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Summer results by sea areas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>node</th>\n",
       "      <th>speed</th>\n",
       "      <th>mmsi</th>\n",
       "      <th>voyage</th>\n",
       "      <th>start_time</th>\n",
       "      <th>number</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>vessel_type</th>\n",
       "      <th>end_port_sea_area</th>\n",
       "      <th>start_port_sea_area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>53.974982</td>\n",
       "      <td>11.340805</td>\n",
       "      <td>3354.0</td>\n",
       "      <td>4.630000</td>\n",
       "      <td>209014000</td>\n",
       "      <td>14</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>GC</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>54.056273</td>\n",
       "      <td>11.486634</td>\n",
       "      <td>3632.0</td>\n",
       "      <td>4.669002</td>\n",
       "      <td>209014000</td>\n",
       "      <td>14</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>GC</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>54.206419</td>\n",
       "      <td>11.585086</td>\n",
       "      <td>4462.0</td>\n",
       "      <td>4.647240</td>\n",
       "      <td>209014000</td>\n",
       "      <td>14</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>GC</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>54.279040</td>\n",
       "      <td>11.791794</td>\n",
       "      <td>4741.0</td>\n",
       "      <td>5.518313</td>\n",
       "      <td>209014000</td>\n",
       "      <td>14</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>GC</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>54.351346</td>\n",
       "      <td>11.999288</td>\n",
       "      <td>5020.0</td>\n",
       "      <td>4.826312</td>\n",
       "      <td>209014000</td>\n",
       "      <td>14</td>\n",
       "      <td>2019-06-07 11:27:49</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>GC</td>\n",
       "      <td>-1</td>\n",
       "      <td>-1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         lat        lon    node     speed       mmsi  voyage  \\\n",
       "0  53.974982  11.340805  3354.0  4.630000  209014000      14   \n",
       "1  54.056273  11.486634  3632.0  4.669002  209014000      14   \n",
       "2  54.206419  11.585086  4462.0  4.647240  209014000      14   \n",
       "3  54.279040  11.791794  4741.0  5.518313  209014000      14   \n",
       "4  54.351346  11.999288  5020.0  4.826312  209014000      14   \n",
       "\n",
       "           start_time  number  timestamp vessel_type  end_port_sea_area  \\\n",
       "0 2019-06-07 11:27:49       0         -1          GC                 -1   \n",
       "1 2019-06-07 11:27:49       1         -1          GC                 -1   \n",
       "2 2019-06-07 11:27:49       2         -1          GC                 -1   \n",
       "3 2019-06-07 11:27:49       3         -1          GC                 -1   \n",
       "4 2019-06-07 11:27:49       4         -1          GC                 -1   \n",
       "\n",
       "   start_port_sea_area  \n",
       "0                   -1  \n",
       "1                   -1  \n",
       "2                   -1  \n",
       "3                   -1  \n",
       "4                   -1  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "summer_routes_ship_model_5km = pd.read_csv(RESULTS_DIR + 'summer_routes_ship_model_5km.csv', index_col=0, parse_dates = ['start_time'])\n",
    "summer_routes_ship_model_5km.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Helper column for examining results by sea areas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "summer_routes_ship_model_5km['in_sea_area'] = summer_routes_ship_model_5km.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.lat, row.lon), axis=1)\n",
    "validation_voyages_summer['in_sea_area'] = validation_voyages_summer.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.lat, row.lon), axis=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Difference area by sea areas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sea_area_name</th>\n",
       "      <th>median_diff_area_km2</th>\n",
       "      <th>mean_diff_area_km2</th>\n",
       "      <th>std_diff_area_km2</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Saimaa</td>\n",
       "      <td>13.1</td>\n",
       "      <td>31.1</td>\n",
       "      <td>43.2</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Gdansk Basin</td>\n",
       "      <td>81.6</td>\n",
       "      <td>104.3</td>\n",
       "      <td>72.7</td>\n",
       "      <td>61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Åland Sea</td>\n",
       "      <td>179.7</td>\n",
       "      <td>1127.8</td>\n",
       "      <td>2796.3</td>\n",
       "      <td>121</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bothnian Bay</td>\n",
       "      <td>212.8</td>\n",
       "      <td>413.1</td>\n",
       "      <td>460.2</td>\n",
       "      <td>36</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gulf of Riga</td>\n",
       "      <td>227.0</td>\n",
       "      <td>1318.3</td>\n",
       "      <td>2199.2</td>\n",
       "      <td>33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gulf of Finland</td>\n",
       "      <td>292.4</td>\n",
       "      <td>620.3</td>\n",
       "      <td>787.2</td>\n",
       "      <td>84</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Arkona Basin &amp; Bomholm Basin</td>\n",
       "      <td>388.8</td>\n",
       "      <td>3375.7</td>\n",
       "      <td>7865.4</td>\n",
       "      <td>113</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gotland Basin</td>\n",
       "      <td>606.1</td>\n",
       "      <td>2129.3</td>\n",
       "      <td>3915.8</td>\n",
       "      <td>182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Bothnian Sea &amp; The Quark</td>\n",
       "      <td>718.0</td>\n",
       "      <td>1638.4</td>\n",
       "      <td>2658.3</td>\n",
       "      <td>79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Northern Baltic Proper</td>\n",
       "      <td>981.0</td>\n",
       "      <td>1584.3</td>\n",
       "      <td>1774.4</td>\n",
       "      <td>126</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  sea_area_name  median_diff_area_km2  mean_diff_area_km2  \\\n",
       "9                        Saimaa                  13.1                31.1   \n",
       "2                  Gdansk Basin                  81.6               104.3   \n",
       "6                     Åland Sea                 179.7              1127.8   \n",
       "0                  Bothnian Bay                 212.8               413.1   \n",
       "1                  Gulf of Riga                 227.0              1318.3   \n",
       "3               Gulf of Finland                 292.4               620.3   \n",
       "4  Arkona Basin & Bomholm Basin                 388.8              3375.7   \n",
       "5                 Gotland Basin                 606.1              2129.3   \n",
       "8      Bothnian Sea & The Quark                 718.0              1638.4   \n",
       "7        Northern Baltic Proper                 981.0              1584.3   \n",
       "\n",
       "   std_diff_area_km2  count  \n",
       "9               43.2     21  \n",
       "2               72.7     61  \n",
       "6             2796.3    121  \n",
       "0              460.2     36  \n",
       "1             2199.2     33  \n",
       "3              787.2     84  \n",
       "4             7865.4    113  \n",
       "5             3915.8    182  \n",
       "8             2658.3     79  \n",
       "7             1774.4    126  "
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calculate_route_results(summer_routes_ship_model_5km, validation_voyages_summer, voyages_summer_lengths).round(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Difference area by sea areas when voyages with big errors are removed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "    }\n",
       "\n",
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       "        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>sea_area_name</th>\n",
       "      <th>median_diff_area_km2</th>\n",
       "      <th>mean_diff_area_km2</th>\n",
       "      <th>std_diff_area_km2</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Saimaa</td>\n",
       "      <td>13.1</td>\n",
       "      <td>31.1</td>\n",
       "      <td>43.2</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Gdansk Basin</td>\n",
       "      <td>81.6</td>\n",
       "      <td>101.4</td>\n",
       "      <td>66.6</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Åland Sea</td>\n",
       "      <td>176.3</td>\n",
       "      <td>424.4</td>\n",
       "      <td>563.8</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Gulf of Riga</td>\n",
       "      <td>185.8</td>\n",
       "      <td>403.6</td>\n",
       "      <td>823.6</td>\n",
       "      <td>23</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Arkona Basin &amp; Bomholm Basin</td>\n",
       "      <td>189.5</td>\n",
       "      <td>425.9</td>\n",
       "      <td>577.4</td>\n",
       "      <td>77</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bothnian Bay</td>\n",
       "      <td>191.6</td>\n",
       "      <td>395.7</td>\n",
       "      <td>474.6</td>\n",
       "      <td>28</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gulf of Finland</td>\n",
       "      <td>240.9</td>\n",
       "      <td>418.4</td>\n",
       "      <td>538.5</td>\n",
       "      <td>64</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gotland Basin</td>\n",
       "      <td>355.7</td>\n",
       "      <td>837.9</td>\n",
       "      <td>1093.6</td>\n",
       "      <td>132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Bothnian Sea &amp; The Quark</td>\n",
       "      <td>538.6</td>\n",
       "      <td>842.9</td>\n",
       "      <td>1026.6</td>\n",
       "      <td>58</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Northern Baltic Proper</td>\n",
       "      <td>746.4</td>\n",
       "      <td>899.3</td>\n",
       "      <td>726.2</td>\n",
       "      <td>91</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  sea_area_name  median_diff_area_km2  mean_diff_area_km2  \\\n",
       "8                        Saimaa                  13.1                31.1   \n",
       "2                  Gdansk Basin                  81.6               101.4   \n",
       "6                     Åland Sea                 176.3               424.4   \n",
       "1                  Gulf of Riga                 185.8               403.6   \n",
       "4  Arkona Basin & Bomholm Basin                 189.5               425.9   \n",
       "0                  Bothnian Bay                 191.6               395.7   \n",
       "3               Gulf of Finland                 240.9               418.4   \n",
       "5                 Gotland Basin                 355.7               837.9   \n",
       "7      Bothnian Sea & The Quark                 538.6               842.9   \n",
       "9        Northern Baltic Proper                 746.4               899.3   \n",
       "\n",
       "   std_diff_area_km2  count  \n",
       "8               43.2     21  \n",
       "2               66.6     43  \n",
       "6              563.8     91  \n",
       "1              823.6     23  \n",
       "4              577.4     77  \n",
       "0              474.6     28  \n",
       "3              538.5     64  \n",
       "5             1093.6    132  \n",
       "7             1026.6     58  \n",
       "9              726.2     91  "
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "big_error_voyages = calculate_route_accuracy(summer_routes_ship_model_5km, validation_voyages_summer)\n",
    "big_error_voyages = big_error_voyages[big_error_voyages.diff_area_km2 > 5000].voyage.values\n",
    "summer_routes_wo_big_errors = summer_routes_ship_model_5km[~summer_routes_ship_model_5km.voyage.isin(big_error_voyages)]\n",
    "\n",
    "calculate_route_results(summer_routes_wo_big_errors, validation_voyages_summer, voyages_summer_lengths).round(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Winter results by sea areas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "winter_routes_ship_5km_no_dirways = pd.read_csv(RESULTS_DIR + 'winter_routes_ship_5km_no_dirways.csv', index_col=0, parse_dates = ['start_time'])\n",
    "winter_routes_ship_5km_dirways = pd.read_csv(RESULTS_DIR + 'winter_routes_ship_5km_dirways.csv', index_col=0, parse_dates = ['start_time'])\n",
    "\n",
    "winter_routes_ship_5km_no_dirways['in_sea_area'] = winter_routes_ship_5km_no_dirways.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.lat, row.lon), axis=1)\n",
    "winter_routes_ship_5km_dirways['in_sea_area'] = winter_routes_ship_5km_dirways.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.lat, row.lon), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "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>lat</th>\n",
       "      <th>lon</th>\n",
       "      <th>node</th>\n",
       "      <th>speed</th>\n",
       "      <th>mmsi</th>\n",
       "      <th>voyage</th>\n",
       "      <th>start_time</th>\n",
       "      <th>number</th>\n",
       "      <th>timestamp</th>\n",
       "      <th>in_sea_area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>61.622263</td>\n",
       "      <td>17.241178</td>\n",
       "      <td>45959.0</td>\n",
       "      <td>5.610000</td>\n",
       "      <td>209185000</td>\n",
       "      <td>5</td>\n",
       "      <td>2019-03-20 14:44:01</td>\n",
       "      <td>0</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>61.593594</td>\n",
       "      <td>17.484973</td>\n",
       "      <td>45685.0</td>\n",
       "      <td>6.026451</td>\n",
       "      <td>209185000</td>\n",
       "      <td>5</td>\n",
       "      <td>2019-03-20 14:44:01</td>\n",
       "      <td>1</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>61.657533</td>\n",
       "      <td>17.752064</td>\n",
       "      <td>45964.0</td>\n",
       "      <td>6.050522</td>\n",
       "      <td>209185000</td>\n",
       "      <td>5</td>\n",
       "      <td>2019-03-20 14:44:01</td>\n",
       "      <td>2</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>61.803841</td>\n",
       "      <td>17.899865</td>\n",
       "      <td>46794.0</td>\n",
       "      <td>6.190000</td>\n",
       "      <td>209185000</td>\n",
       "      <td>5</td>\n",
       "      <td>2019-03-20 14:44:01</td>\n",
       "      <td>3</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>61.950016</td>\n",
       "      <td>18.049041</td>\n",
       "      <td>47624.0</td>\n",
       "      <td>4.974634</td>\n",
       "      <td>209185000</td>\n",
       "      <td>5</td>\n",
       "      <td>2019-03-20 14:44:01</td>\n",
       "      <td>4</td>\n",
       "      <td>-1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         lat        lon     node     speed       mmsi  voyage  \\\n",
       "0  61.622263  17.241178  45959.0  5.610000  209185000       5   \n",
       "1  61.593594  17.484973  45685.0  6.026451  209185000       5   \n",
       "2  61.657533  17.752064  45964.0  6.050522  209185000       5   \n",
       "3  61.803841  17.899865  46794.0  6.190000  209185000       5   \n",
       "4  61.950016  18.049041  47624.0  4.974634  209185000       5   \n",
       "\n",
       "           start_time  number  timestamp  in_sea_area  \n",
       "0 2019-03-20 14:44:01       0         -1            3  \n",
       "1 2019-03-20 14:44:01       1         -1            3  \n",
       "2 2019-03-20 14:44:01       2         -1            3  \n",
       "3 2019-03-20 14:44:01       3         -1            3  \n",
       "4 2019-03-20 14:44:01       4         -1            3  "
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "winter_routes_ship_5km_no_dirways.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "validation_voyages_winter['in_sea_area'] = validation_voyages_winter.apply(lambda row: get_sea_area_from_latlon(sea_areas, row.lat, row.lon), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "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>sea_area_name</th>\n",
       "      <th>median_diff_area_km2</th>\n",
       "      <th>mean_diff_area_km2</th>\n",
       "      <th>std_diff_area_km2</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gulf of Riga</td>\n",
       "      <td>80.880</td>\n",
       "      <td>74.950000</td>\n",
       "      <td>33.550376</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Åland Sea</td>\n",
       "      <td>244.350</td>\n",
       "      <td>564.794074</td>\n",
       "      <td>1775.212559</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gulf of Finland</td>\n",
       "      <td>467.225</td>\n",
       "      <td>479.272500</td>\n",
       "      <td>273.320257</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bothnian Sea &amp; The Quark</td>\n",
       "      <td>511.030</td>\n",
       "      <td>1437.709571</td>\n",
       "      <td>3148.307009</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Gotland Basin</td>\n",
       "      <td>532.150</td>\n",
       "      <td>842.951064</td>\n",
       "      <td>1384.280609</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Arkona Basin &amp; Bomholm Basin</td>\n",
       "      <td>622.030</td>\n",
       "      <td>1384.885714</td>\n",
       "      <td>4474.116489</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Northern Baltic Proper</td>\n",
       "      <td>900.380</td>\n",
       "      <td>1327.334528</td>\n",
       "      <td>1405.962485</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bothnian Bay</td>\n",
       "      <td>1717.000</td>\n",
       "      <td>2855.669125</td>\n",
       "      <td>2860.727953</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Gdansk Basin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Saimaa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>St. Petersburg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   sea_area_name  median_diff_area_km2  mean_diff_area_km2  \\\n",
       "5                   Gulf of Riga                80.880           74.950000   \n",
       "2                      Åland Sea               244.350          564.794074   \n",
       "3                Gulf of Finland               467.225          479.272500   \n",
       "1       Bothnian Sea & The Quark               511.030         1437.709571   \n",
       "6                  Gotland Basin               532.150          842.951064   \n",
       "8   Arkona Basin & Bomholm Basin               622.030         1384.885714   \n",
       "4         Northern Baltic Proper               900.380         1327.334528   \n",
       "0                   Bothnian Bay              1717.000         2855.669125   \n",
       "7                   Gdansk Basin                   NaN                 NaN   \n",
       "9                         Saimaa                   NaN                 NaN   \n",
       "10                St. Petersburg                   NaN                 NaN   \n",
       "\n",
       "    std_diff_area_km2  count  \n",
       "5           33.550376      3  \n",
       "2         1775.212559     54  \n",
       "3          273.320257      4  \n",
       "1         3148.307009     70  \n",
       "6         1384.280609     47  \n",
       "8         4474.116489     35  \n",
       "4         1405.962485     53  \n",
       "0         2860.727953     80  \n",
       "7                 NaN      0  \n",
       "9                 NaN      0  \n",
       "10                NaN      0  "
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calculate_route_results(winter_routes_ship_5km_no_dirways, validation_voyages_winter, voyages_winter_lengths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\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>sea_area_name</th>\n",
       "      <th>median_diff_area_km2</th>\n",
       "      <th>mean_diff_area_km2</th>\n",
       "      <th>std_diff_area_km2</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Gulf of Riga</td>\n",
       "      <td>80.880</td>\n",
       "      <td>74.950000</td>\n",
       "      <td>33.550376</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Åland Sea</td>\n",
       "      <td>239.585</td>\n",
       "      <td>557.321111</td>\n",
       "      <td>1771.807720</td>\n",
       "      <td>54</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Gulf of Finland</td>\n",
       "      <td>336.480</td>\n",
       "      <td>359.315000</td>\n",
       "      <td>185.435118</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Bothnian Bay</td>\n",
       "      <td>368.825</td>\n",
       "      <td>1303.082000</td>\n",
       "      <td>2186.010309</td>\n",
       "      <td>80</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Bothnian Sea &amp; The Quark</td>\n",
       "      <td>415.605</td>\n",
       "      <td>1329.313571</td>\n",
       "      <td>3035.098764</td>\n",
       "      <td>70</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Gotland Basin</td>\n",
       "      <td>486.900</td>\n",
       "      <td>764.568723</td>\n",
       "      <td>1379.321483</td>\n",
       "      <td>47</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Arkona Basin &amp; Bomholm Basin</td>\n",
       "      <td>622.030</td>\n",
       "      <td>1384.810286</td>\n",
       "      <td>4473.623579</td>\n",
       "      <td>35</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Northern Baltic Proper</td>\n",
       "      <td>900.380</td>\n",
       "      <td>1333.848679</td>\n",
       "      <td>1404.095596</td>\n",
       "      <td>53</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Gdansk Basin</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Saimaa</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>St. Petersburg</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                   sea_area_name  median_diff_area_km2  mean_diff_area_km2  \\\n",
       "5                   Gulf of Riga                80.880           74.950000   \n",
       "2                      Åland Sea               239.585          557.321111   \n",
       "3                Gulf of Finland               336.480          359.315000   \n",
       "0                   Bothnian Bay               368.825         1303.082000   \n",
       "1       Bothnian Sea & The Quark               415.605         1329.313571   \n",
       "6                  Gotland Basin               486.900          764.568723   \n",
       "8   Arkona Basin & Bomholm Basin               622.030         1384.810286   \n",
       "4         Northern Baltic Proper               900.380         1333.848679   \n",
       "7                   Gdansk Basin                   NaN                 NaN   \n",
       "9                         Saimaa                   NaN                 NaN   \n",
       "10                St. Petersburg                   NaN                 NaN   \n",
       "\n",
       "    std_diff_area_km2  count  \n",
       "5           33.550376      3  \n",
       "2         1771.807720     54  \n",
       "3          185.435118      4  \n",
       "0         2186.010309     80  \n",
       "1         3035.098764     70  \n",
       "6         1379.321483     47  \n",
       "8         4473.623579     35  \n",
       "4         1404.095596     53  \n",
       "7                 NaN      0  \n",
       "9                 NaN      0  \n",
       "10                NaN      0  "
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "calculate_route_results(winter_routes_ship_5km_dirways, validation_voyages_winter, voyages_winter_lengths)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Examining route prediction results in summer with different maneovaribility models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "summer_routes_adjacent_5km = pd.read_csv(RESULTS_DIR + 'summer_routes_adjacent_5km.csv', index_col=0, parse_dates = ['start_time'])\n",
    "summer_routes_adjacent_2500m = pd.read_csv(RESULTS_DIR + 'summer_routes_adjacent_2500m.csv', index_col=0, parse_dates = ['start_time'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "summer_ship_5km_routeacc = calculate_route_accuracy(summer_routes_ship_model_5km, validation_voyages_summer)\n",
    "summer_adj_5km_routeacc = calculate_route_accuracy(summer_routes_adjacent_5km, validation_voyages_summer)\n",
    "summer_adj_2500m_routeacc = calculate_route_accuracy(summer_routes_adjacent_2500m, validation_voyages_summer)\n",
    "\n",
    "\n",
    "def get_voyage_length(voyage, voyage_lengths):\n",
    "    return voyage_lengths[voyage_lengths.voyage == voyage].voyage_length.iloc[0]\n",
    "\n",
    "summer_ship_5km_routeacc['voyage_length'] = summer_ship_5km_routeacc.apply(lambda row: get_voyage_length(row.voyage, voyages_summer_lengths), axis=1)\n",
    "summer_adj_5km_routeacc['voyage_length'] = summer_adj_5km_routeacc.apply(lambda row: get_voyage_length(row.voyage, voyages_summer_lengths), axis=1)\n",
    "summer_adj_2500m_routeacc['voyage_length'] = summer_adj_2500m_routeacc.apply(lambda row: get_voyage_length(row.voyage, voyages_summer_lengths), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:14: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.interpolate import make_interp_spline, BSpline\n",
    "\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(30,15))\n",
    "plt.rcParams.update({'font.size': 36})\n",
    "\n",
    "x, y = plot_intervals(summer_ship_5km_routeacc,'voyage_length', 'diff_area_km2', 200)\n",
    "plt.plot(x, y, alpha=1, linewidth=3, c='tab:blue', label='Ship model (5 km x 5 km)')\n",
    "\n",
    "x, y = plot_intervals(summer_ship_5km_routeacc[~summer_ship_5km_routeacc.voyage.isin(big_error_voyages)],'voyage_length', 'diff_area_km2', 200)\n",
    "plt.plot(x, y, alpha=1, linewidth=3, c='tab:grey', label='Ship model (5 km x 5 km) Big errors removed')\n",
    "\n",
    "x, y = plot_intervals(summer_adj_5km_routeacc,'voyage_length', 'diff_area_km2', 200)\n",
    "plt.plot(x, y, alpha=1, linewidth=3, c='tab:orange', label='Adjacent model (5 km x 5 km)')\n",
    "\n",
    "x, y = plot_intervals(summer_adj_2500m_routeacc,'voyage_length', 'diff_area_km2', 200)\n",
    "plt.plot(x, y, alpha=1, linewidth=3, c='tab:green', label='Adjacent model (2.5 km x 2.5 km)')\n",
    "\n",
    "\n",
    "plt.xticks(np.arange(0, 1800, 200)) \n",
    "plt.yticks(np.arange(0, 12000, 1000))\n",
    "plt.grid(axis='y', alpha=1)\n",
    "\n",
    "plt.title(f\"Summer Route Prediction Error over Voyage Distance in 200 km Intervals\")\n",
    "plt.ylabel(\"Median Error in km2\")\n",
    "plt.xlabel(\"Voyage Length in Kilometers\")\n",
    "handles, labels = plt.gca().get_legend_handles_labels()\n",
    "newLabels, newHandles = [], []\n",
    "for handle, label in zip(handles, labels):\n",
    "  if label not in newLabels:\n",
    "    newLabels.append(label)\n",
    "    newHandles.append(handle)\n",
    "plt.legend(newHandles, newLabels)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Examining winter prediction results in summer with different maneovaribility models"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "winter_routes_adjacent_5km_no_dirways = pd.read_csv(RESULTS_DIR + 'winter_routes_adjacent_5km_no_dirways.csv', index_col=0, parse_dates = ['start_time'])\n",
    "winter_routes_adjacent_5km_dirways = pd.read_csv(RESULTS_DIR + 'winter_routes_adjacent_5km_dirways.csv', index_col=0, parse_dates = ['start_time'])\n",
    "\n",
    "\n",
    "winter_ship_5km_no_dirway_routeacc = calculate_route_accuracy(winter_routes_ship_5km_no_dirways, validation_voyages_winter)\n",
    "winter_ship_5km_dirway_routeacc = calculate_route_accuracy(winter_routes_ship_5km_dirways, validation_voyages_winter)\n",
    "winter_adj_5km_dirway_routeacc = calculate_route_accuracy(winter_routes_adjacent_5km_dirways, validation_voyages_winter)\n",
    "winter_adj_5km_no_dirway_routeacc = calculate_route_accuracy(winter_routes_adjacent_5km_no_dirways, validation_voyages_winter)\n",
    "\n",
    "winter_ship_5km_no_dirway_routeacc['voyage_length'] = winter_ship_5km_no_dirway_routeacc.apply(lambda row: get_voyage_length(row.voyage, voyages_winter_lengths), axis=1)\n",
    "winter_ship_5km_dirway_routeacc['voyage_length'] = winter_ship_5km_dirway_routeacc.apply(lambda row: get_voyage_length(row.voyage, voyages_winter_lengths), axis=1)\n",
    "winter_adj_5km_dirway_routeacc['voyage_length'] = winter_adj_5km_dirway_routeacc.apply(lambda row: get_voyage_length(row.voyage, voyages_winter_lengths), axis=1)\n",
    "winter_adj_5km_no_dirway_routeacc['voyage_length'] = winter_adj_5km_no_dirway_routeacc.apply(lambda row: get_voyage_length(row.voyage, voyages_winter_lengths), axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Ship model, dirway OFF (5 km x 5 km)\n",
      "Ship model, dirway ON (5 km x 5 km)\n",
      "Adjacent model, dirway ON (5 km x 5 km)\n",
      "Adjacent model, dirway ON (5 km x 5 km)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2160x1080 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from scipy.interpolate import make_interp_spline, BSpline\n",
    "\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(30,15))\n",
    "plt.rcParams.update({'font.size': 36})\n",
    "\n",
    "x, y = plot_intervals(winter_ship_5km_no_dirway_routeacc,'voyage_length', 'diff_area_km2', 200)\n",
    "plt.plot(x, y, alpha=1, linewidth=3, c='tab:blue', label='Ship model, dirway OFF (5 km x 5 km)')\n",
    "\n",
    "x, y = plot_intervals(winter_ship_5km_dirway_routeacc,'voyage_length', 'diff_area_km2', 200)\n",
    "plt.plot(x, y, alpha=1, linewidth=3, c='tab:grey', label='Ship model, dirway ON (5 km x 5 km)')\n",
    "\n",
    "x, y = plot_intervals(winter_adj_5km_dirway_routeacc,'voyage_length', 'diff_area_km2', 200)\n",
    "plt.plot(x, y, alpha=1, linewidth=3, c='tab:orange', label='Adjacent model, dirway ON (5 km x 5 km)')\n",
    "\n",
    "x, y = plot_intervals(winter_adj_5km_no_dirway_routeacc,'voyage_length', 'diff_area_km2', 200)\n",
    "plt.plot(x, y, alpha=1, linewidth=3, c='tab:green', label='Adjacent model, dirway ON (5 km x 5 km)')\n",
    "\n",
    "\n",
    "plt.xticks(np.arange(0, 1800, 200))\n",
    "plt.yticks(np.arange(0, 12000, 1000))\n",
    "plt.grid(axis='y', alpha=1)\n",
    "\n",
    "plt.title(f\"Winter Route Prediction Error over Voyage Distance in 200 km Intervals\")\n",
    "plt.ylabel(\"Median Error in km2\")\n",
    "plt.xlabel(\"Voyage Length in Kilometers\")\n",
    "handles, labels = plt.gca().get_legend_handles_labels()\n",
    "newLabels, newHandles = [], []\n",
    "for handle, label in zip(handles, labels):\n",
    "    print(label)\n",
    "    if label not in newLabels:\n",
    "        newLabels.append(label)\n",
    "        newHandles.append(handle)\n",
    "        \n",
    "plt.legend(newHandles, newLabels)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "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>Type</th>\n",
       "      <th>Mean</th>\n",
       "      <th>STD</th>\n",
       "      <th>Mean Voayge Length</th>\n",
       "      <th>STD Voayge Length</th>\n",
       "      <th>Big Errors (&gt; 5000 km2)</th>\n",
       "      <th>Percentage of Big Errors</th>\n",
       "      <th>Total count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>PAS</td>\n",
       "      <td>1992.2</td>\n",
       "      <td>4834.2</td>\n",
       "      <td>339.1</td>\n",
       "      <td>110.9</td>\n",
       "      <td>8</td>\n",
       "      <td>8.3</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CONT</td>\n",
       "      <td>2902.8</td>\n",
       "      <td>2461.2</td>\n",
       "      <td>471.2</td>\n",
       "      <td>126.0</td>\n",
       "      <td>3</td>\n",
       "      <td>27.3</td>\n",
       "      <td>11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>GC</td>\n",
       "      <td>4175.7</td>\n",
       "      <td>7562.3</td>\n",
       "      <td>523.8</td>\n",
       "      <td>365.5</td>\n",
       "      <td>35</td>\n",
       "      <td>22.0</td>\n",
       "      <td>159</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>T</td>\n",
       "      <td>6498.8</td>\n",
       "      <td>8199.0</td>\n",
       "      <td>683.9</td>\n",
       "      <td>399.8</td>\n",
       "      <td>16</td>\n",
       "      <td>37.2</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>RORO</td>\n",
       "      <td>9808.3</td>\n",
       "      <td>8637.2</td>\n",
       "      <td>946.0</td>\n",
       "      <td>280.5</td>\n",
       "      <td>10</td>\n",
       "      <td>47.6</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   Type    Mean     STD  Mean Voayge Length  STD Voayge Length  \\\n",
       "2   PAS  1992.2  4834.2               339.1              110.9   \n",
       "0  CONT  2902.8  2461.2               471.2              126.0   \n",
       "1    GC  4175.7  7562.3               523.8              365.5   \n",
       "4     T  6498.8  8199.0               683.9              399.8   \n",
       "3  RORO  9808.3  8637.2               946.0              280.5   \n",
       "\n",
       "   Big Errors (> 5000 km2)   Percentage of Big Errors  Total count  \n",
       "2                         8                       8.3           96  \n",
       "0                         3                      27.3           11  \n",
       "1                        35                      22.0          159  \n",
       "4                        16                      37.2           43  \n",
       "3                        10                      47.6           21  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Results by vessel type\n",
    "\n",
    "type_results_df = []\n",
    "for v_type, type_results in summer_routes_ship_model_5km.groupby('vessel_type'):\n",
    "    accuracy = calculate_route_accuracy(type_results, validation_voyages_summer)\n",
    "    accuracy['voyage_length'] = accuracy.apply(lambda row: get_voyage_length(row.voyage, voyages_summer_lengths), axis=1)\n",
    "    big_errors = len(accuracy[accuracy.diff_area_km2 > 5000])\n",
    "    count = len(accuracy)\n",
    "    big_error_percentage = big_errors/count * 100\n",
    "    type_results_df.append([v_type, accuracy.diff_area_km2.mean(), accuracy.diff_area_km2.std(), accuracy.voyage_length.mean(), accuracy.voyage_length.std(), len(accuracy[accuracy.diff_area_km2 > 5000]),  round(big_error_percentage,1), len(accuracy)])\n",
    "type_results = pd.DataFrame(data=type_results_df, columns=['Type', 'Mean', 'STD', 'Mean Voayge Length', 'STD Voayge Length','Big Errors (> 5000 km2) ', 'Percentage of Big Errors', 'Total count'])\n",
    "type_results = type_results.sort_values('Mean')\n",
    "type_results = type_results.round(1)\n",
    "type_results"
   ]
  }
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