sintetico.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "a00c5537-a1a7-44c8-96c7-504eb17cab16",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Requirement already satisfied: verde in c:\\users\\laisr\\miniforge3\\lib\\site-packages (1.8.0)\n",
      "Requirement already satisfied: harmonica in c:\\users\\laisr\\miniforge3\\lib\\site-packages (0.6.0)\n",
      "Requirement already satisfied: pandas in c:\\users\\laisr\\miniforge3\\lib\\site-packages (2.2.2)\n",
      "Requirement already satisfied: matplotlib in c:\\users\\laisr\\miniforge3\\lib\\site-packages (3.9.0)\n",
      "Requirement already satisfied: numpy>=1.19 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from verde) (1.26.4)\n",
      "Requirement already satisfied: scipy>=1.5 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from verde) (1.13.1)\n",
      "Requirement already satisfied: xarray>=0.16 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from verde) (2024.5.0)\n",
      "Requirement already satisfied: scikit-learn>=0.24 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from verde) (1.5.0)\n",
      "Requirement already satisfied: pooch>=1.2 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from verde) (1.8.2)\n",
      "Requirement already satisfied: dask>=2021.05.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from verde) (2024.5.2)\n",
      "Requirement already satisfied: numba>=0.52 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from harmonica) (0.59.1)\n",
      "Requirement already satisfied: xrft>=1.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from harmonica) (1.0.1)\n",
      "Requirement already satisfied: python-dateutil>=2.8.2 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from pandas) (2.9.0)\n",
      "Requirement already satisfied: pytz>=2020.1 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from pandas) (2024.1)\n",
      "Requirement already satisfied: tzdata>=2022.7 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from pandas) (2024.1)\n",
      "Requirement already satisfied: contourpy>=1.0.1 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from matplotlib) (1.2.1)\n",
      "Requirement already satisfied: cycler>=0.10 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from matplotlib) (0.12.1)\n",
      "Requirement already satisfied: fonttools>=4.22.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from matplotlib) (4.53.0)\n",
      "Requirement already satisfied: kiwisolver>=1.3.1 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from matplotlib) (1.4.5)\n",
      "Requirement already satisfied: packaging>=20.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from matplotlib) (24.0)\n",
      "Requirement already satisfied: pillow>=8 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from matplotlib) (10.3.0)\n",
      "Requirement already satisfied: pyparsing>=2.3.1 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from matplotlib) (3.1.2)\n",
      "Requirement already satisfied: click>=8.1 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from dask>=2021.05.0->verde) (8.1.7)\n",
      "Requirement already satisfied: cloudpickle>=1.5.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from dask>=2021.05.0->verde) (3.0.0)\n",
      "Requirement already satisfied: fsspec>=2021.09.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from dask>=2021.05.0->verde) (2024.6.0)\n",
      "Requirement already satisfied: partd>=1.2.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from dask>=2021.05.0->verde) (1.4.2)\n",
      "Requirement already satisfied: pyyaml>=5.3.1 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from dask>=2021.05.0->verde) (6.0.1)\n",
      "Requirement already satisfied: toolz>=0.10.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from dask>=2021.05.0->verde) (0.12.1)\n",
      "Requirement already satisfied: importlib-metadata>=4.13.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from dask>=2021.05.0->verde) (7.1.0)\n",
      "Requirement already satisfied: llvmlite<0.43,>=0.42.0dev0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from numba>=0.52->harmonica) (0.42.0)\n",
      "Requirement already satisfied: platformdirs>=2.5.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from pooch>=1.2->verde) (4.2.0)\n",
      "Requirement already satisfied: requests>=2.19.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from pooch>=1.2->verde) (2.31.0)\n",
      "Requirement already satisfied: six>=1.5 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from python-dateutil>=2.8.2->pandas) (1.16.0)\n",
      "Requirement already satisfied: joblib>=1.2.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from scikit-learn>=0.24->verde) (1.4.2)\n",
      "Requirement already satisfied: threadpoolctl>=3.1.0 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from scikit-learn>=0.24->verde) (3.5.0)\n",
      "Requirement already satisfied: colorama in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from click>=8.1->dask>=2021.05.0->verde) (0.4.6)\n",
      "Requirement already satisfied: zipp>=0.5 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from importlib-metadata>=4.13.0->dask>=2021.05.0->verde) (3.17.0)\n",
      "Requirement already satisfied: locket in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from partd>=1.2.0->dask>=2021.05.0->verde) (1.0.0)\n",
      "Requirement already satisfied: charset-normalizer<4,>=2 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from requests>=2.19.0->pooch>=1.2->verde) (3.3.2)\n",
      "Requirement already satisfied: idna<4,>=2.5 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from requests>=2.19.0->pooch>=1.2->verde) (3.6)\n",
      "Requirement already satisfied: urllib3<3,>=1.21.1 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from requests>=2.19.0->pooch>=1.2->verde) (2.2.1)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in c:\\users\\laisr\\miniforge3\\lib\\site-packages (from requests>=2.19.0->pooch>=1.2->verde) (2024.2.2)\n"
     ]
    }
   ],
   "source": [
    "! pip install verde harmonica pandas matplotlib"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "5ed15150-51d7-490f-9932-97df6eed2edb",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import harmonica as hm\n",
    "import verde as vd\n",
    "import pandas as pd\n",
    "import warnings"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "8eddb5f9-0f3c-451a-b40b-388c42295eb5",
   "metadata": {},
   "outputs": [],
   "source": [
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69be9adb-aed5-4982-a2f6-5ed783a3ec3b",
   "metadata": {},
   "source": [
    "Gerando a malha dos levantamentos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "7f99eedc-8d67-4d7c-8952-7346016b1ae3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 1.02, 'b)')"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "region = [0, 100e3, 0, 90e3]\n",
    "# Coordenadas do levantamento terrestre\n",
    "coordinates_t = vd.scatter_points(region, size=1000, extra_coords=1000, random_state=123)\n",
    "# Espaçamento entre as linhas de voo\n",
    "spacing = (500,5000) \n",
    "# Coordenadas do levantamento aéreo\n",
    "coordinates_a = vd.grid_coordinates(region=region, spacing=spacing, extra_coords=500) \n",
    "\n",
    "fig, axes = plt.subplots(1,2,sharey=True, figsize=(10, 4.5)) #linha, coluna\n",
    "\n",
    "axes[0].plot(coordinates_t[0], coordinates_t[1], \".k\")\n",
    "axes[0].set_ylabel(\"Northing (m)\")\n",
    "axes[0].set_xlabel(\"Easting (m)\")\n",
    "axes[0].grid()\n",
    "axes[0].set_title(\"Levantamento terrestre\")\n",
    "axes[0].text(0,1.02,\"a)\", transform=axes[0].transAxes)\n",
    "axes[1].plot(coordinates_a[0], coordinates_a[1],'o', color='black')\n",
    "axes[1].set_xlabel(\"Easting (m)\")\n",
    "axes[1].grid()\n",
    "axes[1].set_title(\"Levantamento aéreo\")\n",
    "axes[1].text(0,1.02,\"b)\", transform=axes[1].transAxes)\n",
    "\n",
    "\n",
    "#plt.figure()\n",
    "#plt.plot(coordinates_t[0], coordinates_t[1], \".k\")\n",
    "#plt.xlabel(\"Easting (m)\")\n",
    "#plt.ylabel(\"Northing (m)\")\n",
    "#plt.legend()\n",
    "#plt.figure()\n",
    "#plt.plot(coordinates_a[0], coordinates_a[1],'o', color='black')\n",
    "#plt.xlabel(\"Easting (m)\")\n",
    "#plt.ylabel(\"Northing (m)\")\n",
    "#plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "0bd3a34a-4a08-4bc6-a507-86f1d7ef35a8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# mudar o sintético \n",
    "\n",
    "# complicar o aereo\n",
    "# perturbar as linhas\n",
    "# adicionar linha de voo em sentido diferente \n",
    "# concatenar (np.concatenate e ravel)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ca0ad2d-b1f9-4e4c-b8de-b3523cca19b2",
   "metadata": {},
   "source": [
    "Gerando o efeito gravitacional dos prismas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "2670cb8d-b94a-4fbe-a096-6e69f18c4a4e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 1.02, 'b)')"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x350 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gerando os prismas \n",
    "prismas = [\n",
    "    [10e3, 15e3, 20e3, 35e3, -1e3,  0],\n",
    "    [60e3, 80e3, 50e3, 70e3, -2e3,  -0.5e3],\n",
    "]\n",
    "densidades = [500, -300]\n",
    "# Efeito gravitacional dos prismas\n",
    "gz_t = hm.prism_gravity(coordinates_t, prismas, densidades, field=\"g_z\") # Terrestre\n",
    "gz_a = hm.prism_gravity(coordinates_a, prismas, densidades, field=\"g_z\") # Aéreo\n",
    "\n",
    "fig, axes = plt.subplots(1,2,sharey=True, figsize=(10, 3.5)) #linha, coluna\n",
    "\n",
    "ax0 = axes[0].scatter(coordinates_t[0], coordinates_t[1], s=5, c=gz_t)\n",
    "axes[0].scatter(coordinates_t[0], coordinates_t[1], s=5, c=gz_t)\n",
    "plt.colorbar(ax0, ax=axes[0], label=\"g_z [mGal]\")\n",
    "axes[0].set_ylabel(\"Northing (m)\")\n",
    "axes[0].set_xlabel(\"Easting (m)\")\n",
    "axes[0].grid()\n",
    "axes[0].set_title(\"Levantamento terrestre\")\n",
    "axes[0].text(0,1.02,\"a)\", transform=axes[0].transAxes)\n",
    "\n",
    "ax1 = axes[1].scatter(coordinates_a[0],coordinates_a[1],s=5,c=gz_a)\n",
    "axes[1].scatter(coordinates_a[0],coordinates_a[1],s=5,c=gz_a)\n",
    "axes[1].scatter(coordinates_a[0],coordinates_a[1],s=5,c=gz_a)\n",
    "plt.colorbar(ax1, ax=axes[1], label=\"g_z [mGal]\")\n",
    "axes[1].set_xlabel(\"Easting (m)\")\n",
    "axes[1].grid()\n",
    "axes[1].set_title(\"Levantamento aéreo\")\n",
    "axes[1].text(0,1.02,\"b)\", transform=axes[1].transAxes)\n",
    "\n",
    "\n",
    "#plt.figure()\n",
    "#plt.scatter(coordinates_t[0], coordinates_t[1], s=5, c=gz_t)\n",
    "#plt.colorbar(label=\"g_z\")\n",
    "#plt.xlabel(\"Easting (m)\")\n",
    "#plt.ylabel(\"Northing (m)\")\n",
    "#plt.legend()\n",
    "#plt.figure()\n",
    "#plt.scatter(coordinates_a[0],coordinates_a[1],s=5,c=gz_a)\n",
    "#plt.colorbar()\n",
    "#plt.xlabel(\"Easting (m)\")\n",
    "#plt.ylabel(\"Northing (m)\")\n",
    "#plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f8e9f08-cdfd-451a-beb1-650217ebd0b7",
   "metadata": {},
   "source": [
    "Ajustando um modelo de fontes de equivalentes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "0ee516c8-9ce2-47cd-809f-8834a72955d1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-3 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-3 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-3 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-3 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-3 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-3 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-3 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-3 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-3 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-3 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-3 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-3 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-3 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-3 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-3 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-3\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>EquivalentSourcesGB(damping=1, depth=2000.0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-3\" type=\"checkbox\" checked><label for=\"sk-estimator-id-3\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;EquivalentSourcesGB<span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>EquivalentSourcesGB(damping=1, depth=2000.0)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "EquivalentSourcesGB(damping=1, depth=2000.0)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ajustando modelo de fontes equivalentes ao levantamento terrestre\n",
    "fontes_t = hm.EquivalentSourcesGB(damping=1,depth=2e3)\n",
    "fontes_t.fit([coordinates_t[0],coordinates_t[1],coordinates_t[2]],data=gz_t)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "b6d7a76b-4463-4044-bad3-e489bc56608a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>#sk-container-id-4 {\n",
       "  /* Definition of color scheme common for light and dark mode */\n",
       "  --sklearn-color-text: black;\n",
       "  --sklearn-color-line: gray;\n",
       "  /* Definition of color scheme for unfitted estimators */\n",
       "  --sklearn-color-unfitted-level-0: #fff5e6;\n",
       "  --sklearn-color-unfitted-level-1: #f6e4d2;\n",
       "  --sklearn-color-unfitted-level-2: #ffe0b3;\n",
       "  --sklearn-color-unfitted-level-3: chocolate;\n",
       "  /* Definition of color scheme for fitted estimators */\n",
       "  --sklearn-color-fitted-level-0: #f0f8ff;\n",
       "  --sklearn-color-fitted-level-1: #d4ebff;\n",
       "  --sklearn-color-fitted-level-2: #b3dbfd;\n",
       "  --sklearn-color-fitted-level-3: cornflowerblue;\n",
       "\n",
       "  /* Specific color for light theme */\n",
       "  --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, white)));\n",
       "  --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, black)));\n",
       "  --sklearn-color-icon: #696969;\n",
       "\n",
       "  @media (prefers-color-scheme: dark) {\n",
       "    /* Redefinition of color scheme for dark theme */\n",
       "    --sklearn-color-text-on-default-background: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-background: var(--sg-background-color, var(--theme-background, var(--jp-layout-color0, #111)));\n",
       "    --sklearn-color-border-box: var(--sg-text-color, var(--theme-code-foreground, var(--jp-content-font-color1, white)));\n",
       "    --sklearn-color-icon: #878787;\n",
       "  }\n",
       "}\n",
       "\n",
       "#sk-container-id-4 {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 pre {\n",
       "  padding: 0;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 input.sk-hidden--visually {\n",
       "  border: 0;\n",
       "  clip: rect(1px 1px 1px 1px);\n",
       "  clip: rect(1px, 1px, 1px, 1px);\n",
       "  height: 1px;\n",
       "  margin: -1px;\n",
       "  overflow: hidden;\n",
       "  padding: 0;\n",
       "  position: absolute;\n",
       "  width: 1px;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-dashed-wrapped {\n",
       "  border: 1px dashed var(--sklearn-color-line);\n",
       "  margin: 0 0.4em 0.5em 0.4em;\n",
       "  box-sizing: border-box;\n",
       "  padding-bottom: 0.4em;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-container {\n",
       "  /* jupyter's `normalize.less` sets `[hidden] { display: none; }`\n",
       "     but bootstrap.min.css set `[hidden] { display: none !important; }`\n",
       "     so we also need the `!important` here to be able to override the\n",
       "     default hidden behavior on the sphinx rendered scikit-learn.org.\n",
       "     See: https://github.com/scikit-learn/scikit-learn/issues/21755 */\n",
       "  display: inline-block !important;\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-text-repr-fallback {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       "div.sk-parallel-item,\n",
       "div.sk-serial,\n",
       "div.sk-item {\n",
       "  /* draw centered vertical line to link estimators */\n",
       "  background-image: linear-gradient(var(--sklearn-color-text-on-default-background), var(--sklearn-color-text-on-default-background));\n",
       "  background-size: 2px 100%;\n",
       "  background-repeat: no-repeat;\n",
       "  background-position: center center;\n",
       "}\n",
       "\n",
       "/* Parallel-specific style estimator block */\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel-item::after {\n",
       "  content: \"\";\n",
       "  width: 100%;\n",
       "  border-bottom: 2px solid var(--sklearn-color-text-on-default-background);\n",
       "  flex-grow: 1;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel {\n",
       "  display: flex;\n",
       "  align-items: stretch;\n",
       "  justify-content: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  position: relative;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel-item {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel-item:first-child::after {\n",
       "  align-self: flex-end;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel-item:last-child::after {\n",
       "  align-self: flex-start;\n",
       "  width: 50%;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-parallel-item:only-child::after {\n",
       "  width: 0;\n",
       "}\n",
       "\n",
       "/* Serial-specific style estimator block */\n",
       "\n",
       "#sk-container-id-4 div.sk-serial {\n",
       "  display: flex;\n",
       "  flex-direction: column;\n",
       "  align-items: center;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  padding-right: 1em;\n",
       "  padding-left: 1em;\n",
       "}\n",
       "\n",
       "\n",
       "/* Toggleable style: style used for estimator/Pipeline/ColumnTransformer box that is\n",
       "clickable and can be expanded/collapsed.\n",
       "- Pipeline and ColumnTransformer use this feature and define the default style\n",
       "- Estimators will overwrite some part of the style using the `sk-estimator` class\n",
       "*/\n",
       "\n",
       "/* Pipeline and ColumnTransformer style (default) */\n",
       "\n",
       "#sk-container-id-4 div.sk-toggleable {\n",
       "  /* Default theme specific background. It is overwritten whether we have a\n",
       "  specific estimator or a Pipeline/ColumnTransformer */\n",
       "  background-color: var(--sklearn-color-background);\n",
       "}\n",
       "\n",
       "/* Toggleable label */\n",
       "#sk-container-id-4 label.sk-toggleable__label {\n",
       "  cursor: pointer;\n",
       "  display: block;\n",
       "  width: 100%;\n",
       "  margin-bottom: 0;\n",
       "  padding: 0.5em;\n",
       "  box-sizing: border-box;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 label.sk-toggleable__label-arrow:before {\n",
       "  /* Arrow on the left of the label */\n",
       "  content: \"▸\";\n",
       "  float: left;\n",
       "  margin-right: 0.25em;\n",
       "  color: var(--sklearn-color-icon);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 label.sk-toggleable__label-arrow:hover:before {\n",
       "  color: var(--sklearn-color-text);\n",
       "}\n",
       "\n",
       "/* Toggleable content - dropdown */\n",
       "\n",
       "#sk-container-id-4 div.sk-toggleable__content {\n",
       "  max-height: 0;\n",
       "  max-width: 0;\n",
       "  overflow: hidden;\n",
       "  text-align: left;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-toggleable__content.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-toggleable__content pre {\n",
       "  margin: 0.2em;\n",
       "  border-radius: 0.25em;\n",
       "  color: var(--sklearn-color-text);\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-toggleable__content.fitted pre {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 input.sk-toggleable__control:checked~div.sk-toggleable__content {\n",
       "  /* Expand drop-down */\n",
       "  max-height: 200px;\n",
       "  max-width: 100%;\n",
       "  overflow: auto;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {\n",
       "  content: \"▾\";\n",
       "}\n",
       "\n",
       "/* Pipeline/ColumnTransformer-specific style */\n",
       "\n",
       "#sk-container-id-4 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-label.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator-specific style */\n",
       "\n",
       "/* Colorize estimator box */\n",
       "#sk-container-id-4 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-estimator.fitted input.sk-toggleable__control:checked~label.sk-toggleable__label {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-label label.sk-toggleable__label,\n",
       "#sk-container-id-4 div.sk-label label {\n",
       "  /* The background is the default theme color */\n",
       "  color: var(--sklearn-color-text-on-default-background);\n",
       "}\n",
       "\n",
       "/* On hover, darken the color of the background */\n",
       "#sk-container-id-4 div.sk-label:hover label.sk-toggleable__label {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "/* Label box, darken color on hover, fitted */\n",
       "#sk-container-id-4 div.sk-label.fitted:hover label.sk-toggleable__label.fitted {\n",
       "  color: var(--sklearn-color-text);\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Estimator label */\n",
       "\n",
       "#sk-container-id-4 div.sk-label label {\n",
       "  font-family: monospace;\n",
       "  font-weight: bold;\n",
       "  display: inline-block;\n",
       "  line-height: 1.2em;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-label-container {\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       "/* Estimator-specific */\n",
       "#sk-container-id-4 div.sk-estimator {\n",
       "  font-family: monospace;\n",
       "  border: 1px dotted var(--sklearn-color-border-box);\n",
       "  border-radius: 0.25em;\n",
       "  box-sizing: border-box;\n",
       "  margin-bottom: 0.5em;\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-0);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-estimator.fitted {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-0);\n",
       "}\n",
       "\n",
       "/* on hover */\n",
       "#sk-container-id-4 div.sk-estimator:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-2);\n",
       "}\n",
       "\n",
       "#sk-container-id-4 div.sk-estimator.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-2);\n",
       "}\n",
       "\n",
       "/* Specification for estimator info (e.g. \"i\" and \"?\") */\n",
       "\n",
       "/* Common style for \"i\" and \"?\" */\n",
       "\n",
       ".sk-estimator-doc-link,\n",
       "a:link.sk-estimator-doc-link,\n",
       "a:visited.sk-estimator-doc-link {\n",
       "  float: right;\n",
       "  font-size: smaller;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1em;\n",
       "  height: 1em;\n",
       "  width: 1em;\n",
       "  text-decoration: none !important;\n",
       "  margin-left: 1ex;\n",
       "  /* unfitted */\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted,\n",
       "a:link.sk-estimator-doc-link.fitted,\n",
       "a:visited.sk-estimator-doc-link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "div.sk-estimator:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link:hover,\n",
       ".sk-estimator-doc-link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "div.sk-estimator.fitted:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover,\n",
       "div.sk-label-container:hover .sk-estimator-doc-link.fitted:hover,\n",
       ".sk-estimator-doc-link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "/* Span, style for the box shown on hovering the info icon */\n",
       ".sk-estimator-doc-link span {\n",
       "  display: none;\n",
       "  z-index: 9999;\n",
       "  position: relative;\n",
       "  font-weight: normal;\n",
       "  right: .2ex;\n",
       "  padding: .5ex;\n",
       "  margin: .5ex;\n",
       "  width: min-content;\n",
       "  min-width: 20ex;\n",
       "  max-width: 50ex;\n",
       "  color: var(--sklearn-color-text);\n",
       "  box-shadow: 2pt 2pt 4pt #999;\n",
       "  /* unfitted */\n",
       "  background: var(--sklearn-color-unfitted-level-0);\n",
       "  border: .5pt solid var(--sklearn-color-unfitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link.fitted span {\n",
       "  /* fitted */\n",
       "  background: var(--sklearn-color-fitted-level-0);\n",
       "  border: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "\n",
       ".sk-estimator-doc-link:hover span {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       "/* \"?\"-specific style due to the `<a>` HTML tag */\n",
       "\n",
       "#sk-container-id-4 a.estimator_doc_link {\n",
       "  float: right;\n",
       "  font-size: 1rem;\n",
       "  line-height: 1em;\n",
       "  font-family: monospace;\n",
       "  background-color: var(--sklearn-color-background);\n",
       "  border-radius: 1rem;\n",
       "  height: 1rem;\n",
       "  width: 1rem;\n",
       "  text-decoration: none;\n",
       "  /* unfitted */\n",
       "  color: var(--sklearn-color-unfitted-level-1);\n",
       "  border: var(--sklearn-color-unfitted-level-1) 1pt solid;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 a.estimator_doc_link.fitted {\n",
       "  /* fitted */\n",
       "  border: var(--sklearn-color-fitted-level-1) 1pt solid;\n",
       "  color: var(--sklearn-color-fitted-level-1);\n",
       "}\n",
       "\n",
       "/* On hover */\n",
       "#sk-container-id-4 a.estimator_doc_link:hover {\n",
       "  /* unfitted */\n",
       "  background-color: var(--sklearn-color-unfitted-level-3);\n",
       "  color: var(--sklearn-color-background);\n",
       "  text-decoration: none;\n",
       "}\n",
       "\n",
       "#sk-container-id-4 a.estimator_doc_link.fitted:hover {\n",
       "  /* fitted */\n",
       "  background-color: var(--sklearn-color-fitted-level-3);\n",
       "}\n",
       "</style><div id=\"sk-container-id-4\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>EquivalentSourcesGB(damping=1, depth=2000.0)</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator fitted sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-4\" type=\"checkbox\" checked><label for=\"sk-estimator-id-4\" class=\"sk-toggleable__label fitted sk-toggleable__label-arrow fitted\">&nbsp;EquivalentSourcesGB<span class=\"sk-estimator-doc-link fitted\">i<span>Fitted</span></span></label><div class=\"sk-toggleable__content fitted\"><pre>EquivalentSourcesGB(damping=1, depth=2000.0)</pre></div> </div></div></div></div>"
      ],
      "text/plain": [
       "EquivalentSourcesGB(damping=1, depth=2000.0)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ajustando modelo de fontes equivalentes ao levantamento aéreo\n",
    "fontes_a = hm.EquivalentSourcesGB(damping=1,depth=2e3)\n",
    "fontes_a.fit([coordinates_a[0],coordinates_a[1],coordinates_a[2]],data=gz_a)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "82d1c33a-5a08-426c-b576-69c6c519e452",
   "metadata": {},
   "source": [
    "Gerando a malha do modelo de fontes equivalentes com espaçamento de 2000m"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "44428ab7-95cf-438d-9061-261cbdb31379",
   "metadata": {},
   "outputs": [
    {
     "ename": "NameError",
     "evalue": "name 'vd' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "Cell \u001b[1;32mIn[1], line 2\u001b[0m\n\u001b[0;32m      1\u001b[0m \u001b[38;5;66;03m# Levantamento terrestre\u001b[39;00m\n\u001b[1;32m----> 2\u001b[0m grid_coords_eq_t \u001b[38;5;241m=\u001b[39m \u001b[43mvd\u001b[49m\u001b[38;5;241m.\u001b[39mgrid_coordinates(region,spacing\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2e3\u001b[39m,extra_coords\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1000\u001b[39m)\n\u001b[0;32m      3\u001b[0m gz_grid_eq_t \u001b[38;5;241m=\u001b[39m fontes_t\u001b[38;5;241m.\u001b[39mgrid(grid_coords_eq_t,data_names\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mg_z\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m      5\u001b[0m \u001b[38;5;66;03m# Levantamento aérero\u001b[39;00m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'vd' is not defined"
     ]
    }
   ],
   "source": [
    "# Levantamento terrestre\n",
    "grid_coords_eq_t = vd.grid_coordinates(region,spacing=2e3,extra_coords=1000)\n",
    "gz_grid_eq_t = fontes_t.grid(grid_coords_eq_t,data_names=\"g_z\")\n",
    "\n",
    "# Levantamento aérero\n",
    "grid_coords_eq_a = vd.grid_coordinates(region,spacing=2e3,extra_coords=500)\n",
    "gz_grid_eq_a = fontes_a.grid(grid_coords_eq_a,data_names=\"g_z\")\n",
    "\n",
    "fig, axes = plt.subplots(1,2,sharey=True, figsize=(10, 3.5)) #linha, coluna\n",
    "\n",
    "gz_grid_eq_t.g_z.plot(ax=axes[0])\n",
    "gz_grid_eq_a.g_z.plot(ax=axes[1])\n",
    "\n",
    "axes[0].set_ylabel(\"Northing (m)\")\n",
    "axes[0].set_xlabel(\"Easting (m)\")\n",
    "axes[0].set_title(\"Levantamento terrestre\")\n",
    "axes[0].text(0,1.02,\"a)\", transform=axes[0].transAxes)\n",
    "\n",
    "axes[1].set_ylabel(\" \")\n",
    "axes[1].set_xlabel(\"Easting (m)\")\n",
    "axes[1].set_title(\"Levantamento aéreo\")\n",
    "axes[1].text(0,1.02,\"b)\", transform=axes[1].transAxes)\n",
    "#plt.figure()\n",
    "#gz_grid_eq_t.g_z.plot()\n",
    "#plt.xlabel(\"Easting (m)\")\n",
    "#plt.ylabel(\"Northing (m)\")\n",
    "#plt.legend()\n",
    "#plt.figure()\n",
    "#gz_grid_eq_a.g_z.plot()\n",
    "#plt.xlabel(\"Easting (m)\")\n",
    "#plt.ylabel(\"Northing (m)\")\n",
    "#plt.legend()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "47677ccb-6653-4212-8781-533c2bb16784",
   "metadata": {},
   "source": [
    "Reamostrando os dados numa malha regular (\"verdadeira\"). Objetivo: calcular o resíduo, ou seja, a diferença entre a malha \"verdadeira\" e a malha dos modelos de fontes equivalentes. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "9bbd7445-db53-4a79-8d4d-41591e12e558",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x270fbedb640>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Coordenadas da malha regular \n",
    "grid_coords = vd.grid_coordinates(region, spacing=2e3, extra_coords=1000)\n",
    "# Efeito gravitacional dos prismas na malha regular\n",
    "gz_grid = hm.prism_gravity(grid_coords, prismas, densidades, field=\"g_z\")\n",
    "# Malha regular: \"verdadeira\"\n",
    "grid_true = vd.make_xarray_grid(grid_coords, gz_grid, data_names=\"g_z\", extra_coords_names=\"upward\")\n",
    "\n",
    "grid_true.g_z.plot()\n",
    "plt.xlabel(\"Easting (m)\")\n",
    "plt.ylabel(\"Northing (m)\")\n",
    "plt.legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5bc487bc-cde4-40b8-bec0-dcec665b876c",
   "metadata": {},
   "source": [
    "Resíduo."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "65a6d56b-2308-482f-999c-688a548c321e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 1.02, 'c) Malha verdadeira')"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x250 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1,3,sharey=True, figsize=(10, 2.5)) #linha, coluna\n",
    "\n",
    "gz_grid_eq_t.g_z.plot(ax=axes[0])\n",
    "gz_grid_eq_a.g_z.plot(ax=axes[1])\n",
    "grid_true.g_z.plot(ax=axes[2])\n",
    "\n",
    "axes[0].set_ylabel(\"Northing (m)\")\n",
    "axes[0].set_xlabel(\"Easting (m)\")\n",
    "#axes[0].set_title(\"Levantamento terrestre\")\n",
    "axes[0].text(0,1.02,\"a) Levantamento terrestre\", transform=axes[0].transAxes)\n",
    "\n",
    "axes[1].set_ylabel(\" \")\n",
    "axes[1].set_xlabel(\"Easting (m)\")\n",
    "#axes[1].set_title(\"Levantamento aéreo\")\n",
    "axes[1].text(0,1.02,\"b) Levantamento aéreo\", transform=axes[1].transAxes)\n",
    "\n",
    "axes[2].set_ylabel(\" \")\n",
    "axes[2].set_xlabel(\"Easting (m)\")\n",
    "#axes[2].set_title(\"Malha verdadeira\")\n",
    "axes[2].text(0,1.02,\"c) Malha verdadeira\", transform=axes[2].transAxes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "044bfaae-b669-407d-be5c-cc62a3c4f022",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 1.02, 'b)')"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x350 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "residuo_t = grid_true - gz_grid_eq_t # Terrestre\n",
    "residuo_a = grid_true - gz_grid_eq_a # Aéreo\n",
    "\n",
    "fig, axes = plt.subplots(1,2,sharey=True, figsize=(10, 3.5)) #linha, coluna\n",
    "\n",
    "residuo_t.g_z.plot(ax=axes[0])\n",
    "residuo_a.g_z.plot(ax=axes[1])\n",
    "\n",
    "axes[0].set_ylabel(\"Northing (m)\")\n",
    "axes[0].set_xlabel(\"Easting (m)\")\n",
    "axes[0].set_title(\"Levantamento terrestre\")\n",
    "axes[0].text(0,1.02,\"a)\", transform=axes[0].transAxes)\n",
    "\n",
    "axes[1].set_ylabel(\" \")\n",
    "axes[1].set_xlabel(\"Easting (m)\")\n",
    "axes[1].set_title(\"Levantamento aéreo\")\n",
    "axes[1].text(0,1.02,\"b)\", transform=axes[1].transAxes)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bf46711b-2ec1-4641-8e87-7c00b580fae2",
   "metadata": {},
   "source": [
    "Calculando o coeficiente R_2 verdadeiro"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "2021b4fb-1666-4518-907e-c14f43228a3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "R² verdadeiro terrestre: 0.9760078022837213\n",
      " R² verdadeiro aéreo: 0.9777224773389844\n"
     ]
    }
   ],
   "source": [
    "g_z_medio = np.sum(grid_true.g_z.values)/np.size(grid_true.g_z)\n",
    "# Levantamento terrestre\n",
    "residuo_quadrado_t = np.sum(residuo_t.g_z.values**2)\n",
    "R_2_true_t = 1 - (residuo_quadrado_t/np.sum([(gz - g_z_medio)**2 for gz in grid_true.g_z.values]))\n",
    "# Levantamento aéreo\n",
    "residuo_quadrado_a = np.sum(residuo_a.g_z.values**2)\n",
    "R_2_true_a = 1 - (residuo_quadrado_a/np.sum([(gz - g_z_medio)**2 for gz in grid_true.g_z.values]))\n",
    "\n",
    "print(f\"R² verdadeiro terrestre: {R_2_true_t}\\n R² verdadeiro aéreo: {R_2_true_a}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a47a46bd-a8aa-4dc7-a29b-eafe634f12ac",
   "metadata": {},
   "source": [
    "Usando validação cruzada por blocos (block k-Fold) para avaliar quão bem o modelo de fontes equivalentes consegue prever com precisão os valores do campo"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "5b2673c4-c08b-469e-8dc4-6c0eae1a5228",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Dados são primeiramente agrupados em blocos retangulares de tamanhos fornecimento pelo argumento \"spacing\".\n",
    "# Os blocos são então divididos em teste e treinamento iterivamente através dos k folds do dado.\n",
    "# (k é dado por \"n_splits\")\n",
    "\n",
    "\n",
    "# Variando tamanho do bloco através de 5 folds do dado (n_splits = 5)\n",
    "\n",
    "# Levantamento terrestre\n",
    "block = np.arange(1000,10950,950) \n",
    "nsplits = 5\n",
    "R_2_block_t = [] # Estou adicionando o valor médio de R²\n",
    "\n",
    "for spacing in block:\n",
    "    R_2_block_t.append(np.mean(\n",
    "        vd.cross_val_score(\n",
    "            fontes_t,\n",
    "            coordinates_t,\n",
    "            gz_t,\n",
    "            cv=vd.BlockKFold(spacing=spacing, n_splits=nsplits, shuffle=True, random_state=123),\n",
    "        )\n",
    "    ))\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "c1eeebfe-7cf5-43fb-931e-9bf11279fd03",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Levantamento aéreo\n",
    "block = np.arange(1000,10950,950) \n",
    "nsplits = 5\n",
    "R_2_block_a = [] # Estou adicionando o valor médio de R²\n",
    "\n",
    "for spacing in block:\n",
    "    R_2_block_a.append(np.mean(\n",
    "        vd.cross_val_score(\n",
    "            fontes_a,\n",
    "            coordinates_a,\n",
    "            gz_a,\n",
    "            cv=vd.BlockKFold(spacing=spacing, n_splits=nsplits, shuffle=True, random_state=123),\n",
    "        )\n",
    "    ))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "b89aa684-1933-438d-8595-c798b99e37c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1,2,sharey=True, figsize=(10, 4.5)) #linha, coluna\n",
    "\n",
    "axes[0].plot(block,R_2_block_t,\"o\", color='black')\n",
    "axes[0].set_ylabel(\"R²\")\n",
    "axes[0].set_xlabel(\"Tamanho do bloco (m)\")\n",
    "axes[0].grid()\n",
    "axes[0].set_title(\"Levantamento terrestre\")\n",
    "axes[0].text(0,1.02,\"a)\", transform=axes[0].transAxes)\n",
    "axes[0].axhline(y = R_2_true_t, color = 'red', linestyle = 'dotted', label=\"R² verdadeiro\") \n",
    "axes[0].legend()\n",
    "axes[0].grid(True)\n",
    "axes[1].plot(block,R_2_block_a,\"o\", color='black')\n",
    "axes[1].set_xlabel(\"Tamanho do bloco (m)\")\n",
    "axes[1].grid()\n",
    "axes[1].set_title(\"Levantamento aéreo\")\n",
    "axes[1].text(0,1.02,\"b)\", transform=axes[1].transAxes)\n",
    "axes[1].axhline(y = R_2_true_a, color = 'red', linestyle = 'dotted', label=\"R² verdadeiro\") \n",
    "axes[1].legend()\n",
    "axes[1].grid(True)\n",
    "\n",
    "#plt.plot(block,R_2_block_t,\"o\")\n",
    "#plt.xlabel(\"Tamanho do bloco (m)\")\n",
    "#plt.ylabel(\"R²\")\n",
    "#plt.axhline(y = R_2_true_t, color = 'red', linestyle = 'dotted', label=\"R² verdadeiro\") \n",
    "#plt.grid(True)\n",
    "#plt.legend()\n",
    "\n",
    "#plt.plot(block,R_2_block_a,\"o\")\n",
    "#plt.xlabel(\"Tamanho do bloco (m)\")\n",
    "#plt.ylabel(\"R²\")\n",
    "#plt.axhline(y = R_2_true_a, color = 'red', linestyle = 'dotted', label=\"R² verdadeiro\") \n",
    "#plt.grid(True)\n",
    "#plt.legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "ed44ebfd-9226-49c7-bb60-04433672a4c3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Variando n_splits (numero de folds do dado)\n",
    "\n",
    "# Levantamento terrestre: blocos de 1000m\n",
    "\n",
    "R_2_splits_t = []\n",
    "n = np.arange(2,9)\n",
    "for n_splits in n:\n",
    "    R_2_splits_t.append(np.mean(\n",
    "        vd.cross_val_score(\n",
    "            fontes_t,\n",
    "            coordinates_t,\n",
    "            gz_t,\n",
    "            cv=vd.BlockKFold(spacing=1000, n_splits=n_splits, shuffle=True, random_state=123),\n",
    "        )\n",
    "    ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "27efdb25-6e62-4521-81ca-16ef49e7e9f6",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Levantamento aéreo: blocos de 1000m\n",
    "\n",
    "R_2_splits_a = []\n",
    "n = np.arange(2,9)\n",
    "for n_splits in n:\n",
    "    R_2_splits_a.append(np.mean(\n",
    "        vd.cross_val_score(\n",
    "            fontes_a,\n",
    "            coordinates_a,\n",
    "            gz_a,\n",
    "            cv=vd.BlockKFold(spacing=2000, n_splits=n_splits, shuffle=True, random_state=123),\n",
    "        )\n",
    "    ))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "22c2be17-7cfd-4581-9054-da0798c0bea0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x450 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axes = plt.subplots(1,2,sharey=True, figsize=(10, 4.5)) #linha, coluna\n",
    "\n",
    "n=list(n)\n",
    "axes[0].plot(n,R_2_splits_t,\"o\", color='black')\n",
    "axes[0].set_ylabel(\"R²\")\n",
    "axes[0].set_xlabel(\"Número de folds\")\n",
    "axes[0].grid()\n",
    "axes[0].set_title(\"Levantamento terrestre\")\n",
    "axes[0].text(0,1.02,\"a)\", transform=axes[0].transAxes)\n",
    "axes[0].axhline(y = R_2_true_t, color = 'red', linestyle = 'dotted', label=\"R² verdadeiro\") \n",
    "axes[0].legend()\n",
    "axes[0].grid(True)\n",
    "axes[1].plot(n,R_2_splits_a,\"o\", color='black')\n",
    "axes[1].set_xlabel(\"Número de folds\")\n",
    "axes[1].grid()\n",
    "axes[1].set_title(\"Levantamento aéreo\")\n",
    "axes[1].text(0,1.02,\"b)\", transform=axes[1].transAxes)\n",
    "axes[1].axhline(y = R_2_true_a, color = 'red', linestyle = 'dotted', label=\"R² verdadeiro\") \n",
    "axes[1].legend()\n",
    "axes[1].grid(True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ba876080-72fc-41ba-bfb6-61c4645c4aa0",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}