008_Pseudo-absence.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "machine_shape": "hm",
      "authorship_tag": "ABX9TyPiaBIiaRlBB/Qoej094sSf",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/osgeokr/kari-sdm/blob/main/008_Pseudo-absence.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "kTMm3ElvVxJM"
      },
      "outputs": [],
      "source": [
        "!pip install -q -U rasterio"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd, geopandas as gpd\n",
        "import matplotlib.pyplot as plt\n",
        "import rasterio\n",
        "import os\n",
        "import numpy as np\n",
        "import random\n",
        "\n",
        "from google.colab import drive\n",
        "from google.colab import files\n",
        "from matplotlib.colors import LinearSegmentedColormap\n",
        "from shapely.geometry import Point, Polygon"
      ],
      "metadata": {
        "id": "lsjMSEhtYfQa"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Google Drive를 마운트\n",
        "drive.mount('/content/drive')\n",
        "\n",
        "# 경로 설정\n",
        "folder_path = \"/content/drive/My Drive/kari-sdm\""
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "yeQxWmhTjiJc",
        "outputId": "9b33fcfa-57e4-4c21-e25d-9c35f137f1d5"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# DEM\n",
        "img_path = os.path.join(folder_path, \"DEM_scaled.tif\")\n",
        "with rasterio.open(img_path) as src:\n",
        "    dem_array = src.read(1)\n",
        "    transform = src.transform\n",
        "    crs = src.crs\n",
        "\n",
        "# SLP\n",
        "img_path = os.path.join(folder_path, \"SLP_scaled.tif\")\n",
        "slp_array = rasterio.open(img_path).read(1)\n",
        "\n",
        "# ASP\n",
        "img_path = os.path.join(folder_path, \"ASP_scaled.tif\")\n",
        "asp_array = rasterio.open(img_path).read(1)\n",
        "\n",
        "# NDBI\n",
        "img_path = os.path.join(folder_path, \"NDBI_scaled.tif\")\n",
        "ndbi_array = rasterio.open(img_path).read(1)\n",
        "\n",
        "# NDVI\n",
        "img_path = os.path.join(folder_path, \"NDVI_scaled.tif\")\n",
        "ndvi_array = rasterio.open(img_path).read(1)\n",
        "\n",
        "# NDWI\n",
        "img_path = os.path.join(folder_path, \"NDWI_scaled.tif\")\n",
        "ndwi_array = rasterio.open(img_path).read(1)\n",
        "\n",
        "# Canopy Height\n",
        "img_path = os.path.join(folder_path, \"CHT_scaled.tif\")\n",
        "cht_array = rasterio.open(img_path).read(1)\n",
        "\n",
        "# Tree Canopy Cover\n",
        "img_path = os.path.join(folder_path, \"TCC_scaled.tif\")\n",
        "tcc_array = rasterio.open(img_path).read(1)\n",
        "\n",
        "# 래스터 배열에서 값이 유효한 위치를 선택하여 모델 예측 수행\n",
        "valid_mask = (\n",
        "    ~np.isnan(dem_array)\n",
        "    & ~np.isnan(slp_array)\n",
        "    & ~np.isnan(asp_array)\n",
        "    & ~np.isnan(ndbi_array)\n",
        "    & ~np.isnan(ndvi_array)\n",
        "    & ~np.isnan(ndwi_array)\n",
        "    & ~np.isnan(cht_array)\n",
        "    & ~np.isnan(tcc_array)\n",
        ")\n",
        "\n",
        "# valid_mask를 uint8로 변환\n",
        "valid_mask = valid_mask.astype(np.uint8)\n",
        "\n",
        "# valid_mask를 Google Drive에 TIFF 파일로 저장\n",
        "output_path = os.path.join(folder_path, \"VALID_MASK.tif\")\n",
        "\n",
        "with rasterio.open(\n",
        "    output_path,\n",
        "    'w',\n",
        "    driver='GTiff',\n",
        "    height=valid_mask.shape[0],\n",
        "    width=valid_mask.shape[1],\n",
        "    count=1,\n",
        "    dtype=valid_mask.dtype,\n",
        "    crs=crs,\n",
        "    transform=transform\n",
        ") as dst:\n",
        "    dst.write(valid_mask.astype(rasterio.uint8), 1)\n",
        "\n",
        "print(f\"VALID_MASK saved to {output_path}\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ZjHQpCFGWNST",
        "outputId": "7400e20e-9313-4228-eccb-2d64ed04c494"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n",
            "VALID_MASK saved to /content/drive/My Drive/kari-sdm/VALID_MASK.tif\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# 경로 설정\n",
        "img_path = os.path.join(folder_path, \"VALID_MASK.tif\")\n",
        "\n",
        "# 이미지 데이터 읽기\n",
        "with rasterio.open(img_path) as src:\n",
        "    img_data = src.read(1)  # 첫 번째 밴드 읽기\n",
        "    img_extent = src.bounds  # 이미지의 범위 가져오기\n",
        "    img_transform = src.transform  # 변환 정보 가져오기\n",
        "    img_meta = src.meta.copy()  # 메타데이터 복사\n",
        "\n",
        "# 사용자 정의 컬러맵 생성\n",
        "colors = ['black', 'white']\n",
        "cmap_name = 'custom_cmap'\n",
        "cmap = LinearSegmentedColormap.from_list(cmap_name, colors, N=100)\n",
        "\n",
        "# 플롯 설정\n",
        "fig, ax = plt.subplots(figsize=(6, 6))\n",
        "\n",
        "# 이미지 데이터 플롯 (마스킹 적용)\n",
        "img_plot = ax.imshow(\n",
        "    img_data,\n",
        "    cmap=cmap,\n",
        "    extent=[img_extent.left, img_extent.right, img_extent.bottom, img_extent.top],\n",
        "    origin=\"upper\"\n",
        ")\n",
        "\n",
        "# 컬러바(범례) 추가\n",
        "cbar = fig.colorbar(img_plot, ax=ax, orientation='vertical', shrink=0.5)\n",
        "cbar.set_label('Valid Mask')\n",
        "\n",
        "# 제목, 축 레이블, 그리드 설정\n",
        "plt.title(\"Valid Mask\")\n",
        "plt.xlabel(\"Longitude\")\n",
        "plt.ylabel(\"Latitude\")\n",
        "plt.grid(True)\n",
        "\n",
        "# 좌표 비율 유지\n",
        "ax.set_aspect(\"equal\", \"box\")\n",
        "\n",
        "# 플롯 표시\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 394
        },
        "id": "gDmO8m4NjAji",
        "outputId": "51c3efc8-74c4-4856-841b-b23b6b9b0729"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "!wget https://github.com/osgeokr/kari-sdm/raw/main/presence.gpkg -O presence.gpkg\n",
        "presence_gdf = gpd.read_file('presence.gpkg')\n",
        "presence_gdf.head(1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 371
        },
        "id": "U37aFtCskWjB",
        "outputId": "e69ce7c5-5b3a-48d2-ba0f-4d641f1a1974"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "--2024-08-18 11:40:39--  https://github.com/osgeokr/kari-sdm/raw/main/presence.gpkg\n",
            "Resolving github.com (github.com)... 140.82.113.3\n",
            "Connecting to github.com (github.com)|140.82.113.3|:443... connected.\n",
            "HTTP request sent, awaiting response... 302 Found\n",
            "Location: https://raw.githubusercontent.com/osgeokr/kari-sdm/main/presence.gpkg [following]\n",
            "--2024-08-18 11:40:39--  https://raw.githubusercontent.com/osgeokr/kari-sdm/main/presence.gpkg\n",
            "Resolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.108.133, 185.199.110.133, 185.199.111.133, ...\n",
            "Connecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.108.133|:443... connected.\n",
            "HTTP request sent, awaiting response... 200 OK\n",
            "Length: 118784 (116K) [application/octet-stream]\n",
            "Saving to: ‘presence.gpkg’\n",
            "\n",
            "\rpresence.gpkg         0%[                    ]       0  --.-KB/s               \rpresence.gpkg       100%[===================>] 116.00K  --.-KB/s    in 0.03s   \n",
            "\n",
            "2024-08-18 11:40:39 (4.45 MB/s) - ‘presence.gpkg’ saved [118784/118784]\n",
            "\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "        species                      publishingOrgKey  year  month  \\\n",
              "0  Pitta nympha  e2e717bf-551a-4917-bdc9-4fa0f342c530  2023      5   \n",
              "\n",
              "    eventDate  DW_1  raster_value_1                    geometry  \n",
              "0  2023-05-27   1.0        1.208385  POINT (126.69344 33.36925)  "
            ],
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              "      <td>Pitta nympha</td>\n",
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              "      <td>2023</td>\n",
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              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-8e0e1f33-88b3-4240-af41-16fa675cd0a1 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-8e0e1f33-88b3-4240-af41-16fa675cd0a1');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "presence_gdf",
              "summary": "{\n  \"name\": \"presence_gdf\",\n  \"rows\": 64,\n  \"fields\": [\n    {\n      \"column\": \"species\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 1,\n        \"samples\": [\n          \"Pitta nympha\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"publishingOrgKey\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"eb07eeb0-3db9-11d9-8439-b8a03c50a862\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"year\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1,\n        \"min\": 2019,\n        \"max\": 2023,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          2022\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"month\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 5,\n        \"max\": 7,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"eventDate\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 56,\n        \"samples\": [\n          \"2023-05-27\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"DW_1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0,\n        \"min\": 1.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"raster_value_1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 1.01536041746941,\n        \"min\": -2.3073954582214355,\n        \"max\": 2.1687450408935547,\n        \"num_unique_values\": 64,\n        \"samples\": [\n          -0.09983514994382858\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"geometry\",\n      \"properties\": {\n        \"dtype\": \"geometry\",\n        \"num_unique_values\": 64,\n        \"samples\": [\n          \"POINT (127.2281 35.3096)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "file_path = '/content/drive/My Drive/kari-sdm/KR.gpkg'\n",
        "kr_gdf = gpd.read_file(file_path)"
      ],
      "metadata": {
        "id": "FC29-DZjSu9H"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# presence 좌표계를 투영 좌표계로 변경\n",
        "presence_gdf = presence_gdf.to_crs(epsg=5179)\n",
        "kr_gdf = kr_gdf.to_crs(epsg=5179)\n",
        "\n",
        "# presence 포인트에 대해 1000m 버퍼 생성\n",
        "buffer_distance = 1000  # 1000m\n",
        "presence_buffered = presence_gdf.copy()\n",
        "presence_buffered['geometry'] = presence_buffered.geometry.buffer(buffer_distance)\n",
        "\n",
        "# KR에서 presence의 버퍼 영역 제외\n",
        "kr_without_presence = gpd.overlay(kr_gdf, presence_buffered, how='difference')\n",
        "\n",
        "# absence 포인트 생성\n",
        "num_absence_points = len(presence_gdf)\n",
        "absence_points = []\n",
        "\n",
        "for _ in range(num_absence_points):\n",
        "    # kr에서 버퍼 영역이 제외된 부분 중 랜덤 포인트 선택\n",
        "    polygon = kr_without_presence.sample(1).iloc[0].geometry\n",
        "    minx, miny, maxx, maxy = polygon.bounds\n",
        "    while True:\n",
        "        random_point = Point(random.uniform(minx, maxx), random.uniform(miny, maxy))\n",
        "        if polygon.contains(random_point):\n",
        "            absence_points.append(random_point)\n",
        "            break\n",
        "\n",
        "# absence 포인트를 GeoDataFrame으로 변환\n",
        "absence_gdf = gpd.GeoDataFrame(geometry=absence_points, crs=kr_gdf.crs)\n",
        "absence_gdf = absence_gdf.to_crs(epsg=4326)\n",
        "\n",
        "# absence 파일 저장\n",
        "absence_gpkg_path = os.path.join(folder_path, 'absence.gpkg')\n",
        "absence_gdf.to_file(absence_gpkg_path, driver='GPKG')\n",
        "\n",
        "# absence_mask 파일 저장\n",
        "kr_without_presence = kr_without_presence.to_crs(epsg=4326)\n",
        "absence_mask_gpkg_path = os.path.join(folder_path, 'absence_mask.gpkg')\n",
        "kr_without_presence.to_file(absence_mask_gpkg_path, driver='GPKG')"
      ],
      "metadata": {
        "id": "QV-qbkRppu6o"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "absence_mask_gdf = gpd.read_file(os.path.join(folder_path, 'absence_mask.gpkg'))\n",
        "absence_gdf = gpd.read_file(os.path.join(folder_path, 'absence.gpkg'))\n",
        "\n",
        "# 플롯 설정\n",
        "fig, ax = plt.subplots(figsize=(6, 6))\n",
        "# ax.set_facecolor('black')\n",
        "\n",
        "# 대한민국 경계\n",
        "absence_mask_gdf.plot(ax=ax, color='black')\n",
        "\n",
        "# absence 데이터 플롯\n",
        "absence_gdf.plot(ax=ax, marker='o', color='red', markersize=5, label='Pseudo-absence')\n",
        "\n",
        "# 범례, 제목, 축 레이블, 그리드 설정\n",
        "plt.legend()\n",
        "plt.title('Pseudo-absence')\n",
        "plt.xlabel('Longitude')\n",
        "plt.ylabel('Latitude')\n",
        "plt.grid(True)\n",
        "\n",
        "ax.set_aspect('equal', 'box')\n",
        "\n",
        "# 플롯 표시\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        },
        "id": "D3om58abeni-",
        "outputId": "37919f9c-f888-40f7-b858-a7cf00c54a37"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# presence 데이터\n",
        "presence_gdf = presence_gdf.to_crs(epsg=4326)\n",
        "presence_gdf['species'] = 'Pitta nympha'\n",
        "presence_gdf['status'] = 1\n",
        "\n",
        "# absence 데이터\n",
        "absence_gdf['species'] = 'Pitta nympha'\n",
        "absence_gdf['status'] = 0\n",
        "\n",
        "# 필요한 필드만 선택\n",
        "presence = presence_gdf[['species', 'status', 'geometry']]\n",
        "absence = absence_gdf[['species', 'status', 'geometry']]\n",
        "\n",
        "# presence와 absence 데이터를 병합\n",
        "gdf_pa_dw = pd.concat([presence, absence], ignore_index=True)\n",
        "\n",
        "# GeoPackage 파일로 저장\n",
        "output_path = os.path.join(folder_path, 'pitta_nympha_pa_dw.gpkg')\n",
        "gdf_pa_dw.to_file(output_path, layer='data', driver=\"GPKG\")"
      ],
      "metadata": {
        "id": "RG-FHCn5frU8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "gdf = gpd.read_file(os.path.join(folder_path, 'pitta_nympha_pa_dw.gpkg'))\n",
        "kr = gpd.read_file(os.path.join(folder_path, 'KR.gpkg'))\n",
        "\n",
        "# presence와 absence로 데이터를 분리\n",
        "presence = gdf[gdf['status'] == 1]\n",
        "absence = gdf[gdf['status'] == 0]\n",
        "\n",
        "# 플롯 설정\n",
        "fig, ax = plt.subplots(figsize=(6, 6))\n",
        "\n",
        "# 대한민국 경계\n",
        "kr.plot(ax=ax, color='lightgrey', edgecolor='black')\n",
        "\n",
        "# presence 데이터 플롯\n",
        "presence.plot(ax=ax, marker='o', color='blue', markersize=5, label='Presence')\n",
        "\n",
        "# absence 데이터 플롯\n",
        "absence.plot(ax=ax, marker='o', color='red', markersize=5, label='Pseudo-absence')\n",
        "\n",
        "# 범례, 제목, 축 레이블, 그리드 설정\n",
        "plt.legend()\n",
        "plt.title('Pitta nympha')\n",
        "plt.xlabel('Longitude')\n",
        "plt.ylabel('Latitude')\n",
        "plt.grid(True)\n",
        "\n",
        "ax.set_aspect('equal', 'box')\n",
        "\n",
        "# 플롯 표시\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        },
        "id": "RgSOblwmhQMv",
        "outputId": "26c92f59-0b92-41bc-8916-78cab07297d4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 600x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}