src/generate_grid.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "\n",
    "import cv2\n",
    "import geopandas as gpd\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import osmnx as ox\n",
    "import yaml\n",
    "from shapely import Point, Polygon\n",
    "\n",
    "ox.settings.use_cache = True\n",
    "ox.settings.log_console = False\n",
    "\n",
    "with open(\"../plotting_config.yaml\", \"r\") as fp:\n",
    "    config = yaml.safe_load(fp)\n",
    "\n",
    "\n",
    "def calculate_image_size(\n",
    "    area_bounds: tuple[float, float, float, float], rx: int, ry: int\n",
    ") -> tuple[float, float]:\n",
    "    \"\"\"\n",
    "    area_bounds: (minx, miny, maxx, maxy)\n",
    "    \"\"\"\n",
    "    width = (area_bounds[2] - area_bounds[0]) / rx\n",
    "    height = (area_bounds[3] - area_bounds[1]) / ry\n",
    "    return width, height\n",
    "\n",
    "\n",
    "def calculate_top_left_coordinates(area: Polygon, MPx: int, MPy: int, rx: int, ry: int):\n",
    "    return area.bounds[0] + MPx * rx, area.bounds[3] - MPy * ry\n",
    "\n",
    "\n",
    "def generate_grid_bottom_left(\n",
    "    startx: float, starty: float, stepx: float = 500, stepy: float = 500\n",
    "):\n",
    "    grid = []\n",
    "    x = []\n",
    "    y = []\n",
    "    # offsetx = 200*stepx\n",
    "    offsety = 200 * stepy\n",
    "    for j in range(200):\n",
    "        for i in range(200):\n",
    "            p = Polygon(\n",
    "                [\n",
    "                    Point(startx + (i * stepx), starty - offsety + (j * stepy)),\n",
    "                    Point(startx + stepx + (i * stepx), starty - offsety + (j * stepy)),\n",
    "                    Point(\n",
    "                        startx + stepx + (i * stepx),\n",
    "                        starty - offsety + stepy + (j * stepy),\n",
    "                    ),\n",
    "                    Point(startx + (i * stepx), starty - offsety + stepy + (j * stepy)),\n",
    "                ]\n",
    "            )\n",
    "            grid.append(p)\n",
    "            x.append(i + 1)\n",
    "            y.append(j + 1)\n",
    "    return gpd.GeoDataFrame(\n",
    "        {\"geometry\": grid, \"y\": x, \"x\": y}, geometry=\"geometry\", crs=CRS\n",
    "    )"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "tags": [
     "parameters"
    ]
   },
   "outputs": [],
   "source": [
    "CRS = 2449  # Japan Plane Rectangular CS VII\n",
    "\n",
    "rx = 500\n",
    "ry = 500\n",
    "STRETCH = True"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "stretch_suffix = \"unstretched\"\n",
    "if STRETCH:\n",
    "    stretch_suffix = \"\"\n",
    "path = f\"../figures/{CRS}/{stretch_suffix}\"\n",
    "Path(path).mkdir(parents=True, exist_ok=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "selected_prefectures = gpd.read_file(\n",
    "    \"../data/geojson/admin4_selected.geojson\",\n",
    "    crs=4326,\n",
    ")\n",
    "\n",
    "# Convert to meter-unit projection\n",
    "selected_prefectures.to_crs(CRS, inplace=True)\n",
    "\n",
    "coastlines = gpd.read_file(\"../data/geojson/japan_coastlines.geojson\", engine=\"pyogrio\")\n",
    "coastlines.to_crs(CRS, inplace=True)\n",
    "\n",
    "clipped = gpd.clip(coastlines, selected_prefectures.unary_union.envelope)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "area = selected_prefectures.unary_union.envelope\n",
    "area = Polygon(\n",
    "    [(round(i[0] / rx) * rx, round(i[1] / ry) * ry) for i in area.boundary.coords]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bounds: (-127500.0, -264500.0, 206000.0, 115000.0)\n",
      "width: 667.0, height: 759.0\n"
     ]
    }
   ],
   "source": [
    "print(f\"bounds: {area.bounds}\")\n",
    "W, H = calculate_image_size(area.bounds, rx, ry)\n",
    "print(f\"width: {W}, height: {H}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "width: 734, height: 683\n"
     ]
    }
   ],
   "source": [
    "# stretch\n",
    "if STRETCH:\n",
    "    W = round(W * 1.1)\n",
    "    H = round(H * 0.9)\n",
    "print(f\"width: {W}, height: {H}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 734x683 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(W, H), dpi=1)\n",
    "ax = fig.add_axes([0, 0, 1, 1], frameon=False, xticks=[], yticks=[])\n",
    "gpd.GeoDataFrame(geometry=[area], crs=CRS).plot(\n",
    "    color=\"white\", aspect=None, ax=ax, zorder=1\n",
    ")\n",
    "clipped.plot(color=\"#2d2d2d\", aspect=None, ax=ax, zorder=5)\n",
    "ax.margins(0)\n",
    "ax.axis(\"off\")\n",
    "ax.set_facecolor(\"white\")\n",
    "fig.patch.set_visible(False)\n",
    "\n",
    "fig.savefig(\n",
    "    f\"{path}/large.png\", facecolor=\"white\", pad_inches=0, metadata=config[\"metadata\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(306, 147)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 734x683 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# based on https://stackoverflow.com/a/18075751/4737417\n",
    "large_image = cv2.imread(f\"{path}/large.png\")\n",
    "small_image = cv2.imread(\"../figures/activity_cut_200.png\")\n",
    "result_a = cv2.matchTemplate(large_image, small_image, cv2.TM_CCOEFF_NORMED)\n",
    "print(np.unravel_index(result_a.argmax(), result_a.shape))\n",
    "\n",
    "\n",
    "bg = large_image.copy()\n",
    "method = cv2.TM_SQDIFF_NORMED\n",
    "result = cv2.matchTemplate(small_image, bg, method)\n",
    "\n",
    "# We want the minimum squared difference\n",
    "mn, _, mnLoc, _ = cv2.minMaxLoc(result)\n",
    "\n",
    "# Draw the rectangle:\n",
    "# Extract the coordinates of our best match\n",
    "MPx, MPy = mnLoc\n",
    "\n",
    "# Step 2: Get the size of the template. This is the same size as the match.\n",
    "trows, tcols = small_image.shape[:2]\n",
    "\n",
    "# Step 3: Draw the rectangle on large_image\n",
    "cv2.rectangle(bg, (MPx, MPy), (MPx + tcols, MPy + trows), (0, 0, 255), 2)\n",
    "\n",
    "\n",
    "fig2 = plt.figure(figsize=(W / 100, H / 100), dpi=100)\n",
    "ax2 = fig2.add_axes([0, 0, 1, 1], frameon=False, xticks=[], yticks=[])\n",
    "ax2.imshow(bg)\n",
    "ax2.axis(\"off\")\n",
    "ax2.margins(0)\n",
    "fig2.patch.set_visible(False)\n",
    "fig2.savefig(\n",
    "    f\"{path}/location.png\", facecolor=\"white\", pad_inches=0, metadata=config[\"metadata\"]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-60681.81818181819 -55555.55555555556\n"
     ]
    }
   ],
   "source": [
    "startx, starty = calculate_top_left_coordinates(area, MPx, MPy, rx, ry)\n",
    "if STRETCH:\n",
    "    startx, starty = calculate_top_left_coordinates(area, MPx, MPy, rx / 1.1, ry / 0.9)\n",
    "print(startx, starty)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(-60681.81818181819, -166666.6666666667, 30227.272727272706, -55555.55555555558)\n"
     ]
    }
   ],
   "source": [
    "if STRETCH:\n",
    "    g2 = generate_grid_bottom_left(startx, starty, stepx=rx / 1.1, stepy=ry / 0.9)\n",
    "    g2.to_file(f\"../output/grid_bl_{CRS}.geojson\")\n",
    "else:\n",
    "    g2 = generate_grid_bottom_left(startx, starty, stepx=rx, stepy=ry)\n",
    "    g2.to_file(f\"../output/grid_bl_{CRS}_unstretched.geojson\")\n",
    "print(g2.unary_union.bounds)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.8"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}