{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# 08 Sampling Interfaces and Orientations from Raster\n", "\n", "Interfaces can be directly sampled from a digital elevation model or subsurface raster/mesh while orientations have to be sampled from the digital elevation model/raster, the slope for the dipping angle and the aspect for the azimuth.\n", "\n", "" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Set File Paths and download Tutorial Data\n", "\n", "If you downloaded the latest `GemGIS` version from the Github repository, append the path so that the package can be imported successfully. Otherwise, it is recommended to install `GemGIS` via `pip install gemgis` and import `GemGIS` using `import gemgis as gg`. In addition, the file path to the folder where the data is being stored is set. The tutorial data is downloaded using Pooch (https://www.fatiando.org/pooch/latest/index.html) and stored in the specified folder. Use `pip install pooch` if Pooch is not installed on your system yet." ] }, { "cell_type": "code", "execution_count": 1, "metadata": { "ExecuteTime": { "end_time": "2021-03-17T11:05:43.666136Z", "start_time": "2021-03-17T11:05:41.365748Z" } }, "outputs": [], "source": [ "import gemgis as gg\n", "\n", "file_path ='data/08_sampling_interfaces_orientations_from_raster/'" ] }, { "cell_type": "code", "execution_count": 2, "metadata": { "ExecuteTime": { "end_time": "2021-03-17T11:05:43.744631Z", "start_time": "2021-03-17T11:05:43.715945Z" } }, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Downloading file '08_sampling_interfaces_orientations_from_raster.zip' from 'https://rwth-aachen.sciebo.de/s/AfXRsZywYDbUF34/download?path=%2F08_sampling_interfaces_orientations_from_raster.zip' to 'C:\\Users\\ale93371\\Documents\\gemgis\\docs\\getting_started\\tutorial\\data\\08_sampling_interfaces_orientations_from_raster'.\n" ] } ], "source": [ "gg.download_gemgis_data.download_tutorial_data(filename=\"08_sampling_interfaces_orientations_from_raster.zip\", dirpath=file_path)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Loading raster data" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "ExecuteTime": { "end_time": "2021-03-14T12:06:13.711835Z", "start_time": "2021-03-14T12:06:11.518170Z" } }, "outputs": [], "source": [ "import rasterio\n", "\n", "raster = rasterio.open(file_path + 'raster.tif')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": { "ExecuteTime": { "end_time": "2021-03-14T12:06:22.043105Z", "start_time": "2021-03-14T12:06:22.032581Z" } }, "outputs": [ { "data": { "text/plain": [ "BoundingBox(left=-4.440892098500626e-16, bottom=1.3642420526593924e-12, right=971.002897605575, top=1068.1031873661339)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "raster.bounds" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Plotting the raster" ] }, { "cell_type": "code", "execution_count": 5, "metadata": { "ExecuteTime": { "end_time": "2021-03-14T12:06:13.964096Z", "start_time": "2021-03-14T12:06:13.746704Z" } }, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "\n", "im = plt.imshow(raster.read(1), cmap='gist_earth')\n", "plt.grid()\n", "plt.colorbar(im)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Sampling Interfaces from Raster\n", "\n", "### Sampling by lists\n", "\n", "Sampling interfaces from a raster given lists of X and Y coordinates is done using ``sample_interfaces(..)``." ] }, { "cell_type": "code", "execution_count": 6, "metadata": { "ExecuteTime": { "end_time": "2021-03-14T12:06:06.757047Z", "start_time": "2021-03-14T12:06:06.629465Z" } }, "outputs": [ { "data": { "text/html": [ "
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XYZgeometryformation
0100.00100.00376.72POINT (100.00000 100.00000)Test
1200.00200.00435.22POINT (200.00000 200.00000)Test
2300.00300.00505.29POINT (300.00000 300.00000)Test
3400.00400.00540.68POINT (400.00000 400.00000)Test
4500.00500.00561.65POINT (500.00000 500.00000)Test
\n", "
" ], "text/plain": [ " X Y Z geometry formation\n", "0 100.00 100.00 376.72 POINT (100.00000 100.00000) Test\n", "1 200.00 200.00 435.22 POINT (200.00000 200.00000) Test\n", "2 300.00 300.00 505.29 POINT (300.00000 300.00000) Test\n", "3 400.00 400.00 540.68 POINT (400.00000 400.00000) Test\n", "4 500.00 500.00 561.65 POINT (500.00000 500.00000) Test" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "point_x = [100, 200, 300, 400, 500]\n", "point_y = [100, 200, 300, 400, 500]\n", "\n", "gdf = gg.raster.sample_interfaces(raster=raster, \n", " point_x=point_x,\n", " point_y=point_y,\n", " formation='Test',\n", " crs='EPSG:4326')\n", "\n", "gdf" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting the data" ] }, { "cell_type": "code", "execution_count": 7, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:30.044909Z", "start_time": "2020-11-29T14:10:29.699524Z" } }, "outputs": [ { "data": { "image/png": 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Eunbt2fUqHobz3bPrw8PDFUl+qMLCwpCYmChPuQ5cS/BLlixBY2MjTp06ddP9PvzwwzAYDGhoaPApyfOcPBER6VrvBDVqFjXcbjc+++wzecr13gTf0NCAkpKSPkP4/amvr4fH45H3MVTsyRMREWkoNzcXCxcuxMSJE+F0OrF161a4XC6sXLkSV69exU9/+lNUV1fjT3/6E7xeLxwOBwAgMjISQUFB+OKLL3D06FE8/vjjiI6OxqeffoqcnBxMmzYNP/rRj3xqC5M8ERHpmoDKZ9f7ONTf3NyMZ555Bt988w3uvPNOzJgxA2fOnEF8fDzOnz+Pd999FwDwwx/+UFHvww8/RGpqKoKCgvDBBx/g1VdfRUdHB6xWK+bPn4/Nmzf7PCU7kzwREemaQA+ENHLzyRcUFAy47e67777prHZWqxVlZWU+vedAeE6eiIhIp9iTJyIifZO+W9TU91NM8kREpGtCEhDS4EPkN6vvrzhcT0REpFNM8kRERDrF4XoiItI3npMnIiLSJ56TJyIiIt1hT56IiPSNw/VERET6JKRri5r6/orD9URERDrFnjwREembJK4taur7KSZ5IiLSNQ7XExERke4wyRMREekUkzwR6Zq3+wouX2wCAHRfdo1ya2hUSBosfkpVks/Ly4MkScjOzpbXCSFgt9thsVgQEhKC1NRU1NfXK+q53W5kZWUhOjoaYWFhWLRoEZqbm9U0hYhIQfR48fdP/4ILZYX4e/0ZAMDX//ckvv5LMTydHaPcOhpJvU+8U7P4q2En+crKSuzbtw9TpkxRrN+xYwd27dqFvXv3orKyEmazGRkZGWhvb5fLZGdno7CwEAUFBSgvL0dHRwcWLFgAr9c7/CMhIvqOEAIXPy5He/PngFD+gr7S9g2+/ksRrrq7Rql1RCNnWEm+o6MDK1aswP79+zFhwgR5vRACe/bswaZNm7B48WLYbDYcOnQInZ2dOHbsGACgra0NBw4cwM6dO5Geno5p06bhyJEjqK2tRUlJiTZHRURj2pVLf0fn3//W/0Yh4O12o+3CuZFtFI2eMTxcP6xb6NasWYP58+cjPT0dW7duldc3NjbC4XAgMzNTXmc0GjFr1ixUVFTg+eefR1VVFTwej6KMxWKBzWZDRUUF5s6d2+f93G433G63/NrlunZezePxwOPxDOcQ5HrDrU9KjKe2GE91LjV/AS8kuRfv/a4z75U79QKXmr9A+KTJo9I+f6fF93Mkv9tj+RY6n5N8QUEBqqurUVlZ2Webw+EAAMTGxirWx8bG4sKFC3KZoKAgxQhAb5ne+jfKy8vDli1b+qwvKipCaGior4egUFxcrKo+KTGe2mI81ej7u+GcO+z7F1eAuhMnRrA9+qPm+9nZ2alhS2ggPiX5pqYmrF27FkVFRQgODh6wnCQp/+wRQvRZd6PBymzYsAHr1q2TX7tcLlitVmRmZiI8PNyHI/iex+NBcXExMjIyYDAYhrUP+h7jqS3GU51v/lqFjpZGRU/+nDsMDxgvI+C7XzMBQcGwPrpwFFvpv7T4fvaOyI4IPvFuaKqqquB0OpGUlCSv83q9OH36NPbu3Ytz566d43I4HIiLi5PLOJ1OuXdvNpvR3d2N1tZWRW/e6XQiJSWl3/c1Go0wGo191hsMBtW/ALXYB32P8dQW4zk8E6z3oqvlyz7nUgMkfJfkJYy33svYqqTm+zmSsR/Lw/U+XXiXlpaG2tpa1NTUyEtycjJWrFiBmpoa3HPPPTCbzYohnO7ubpSVlckJPCkpCQaDQVGmpaUFdXV1AyZ5IiJfGCOiERY7sf+NkoSA4BBETHxgZBtFNAp86smbTCbYbDbFurCwMERFRcnrs7OzsX37diQkJCAhIQHbt29HaGgoli9fDgCIiIjA6tWrkZOTg6ioKERGRiI3NxeJiYlIT0/X6LCIaCyTJAkxiSn435AwuL76H+C623NDouJw50P/gICggU85ks5wPnntrF+/Hl1dXXjhhRfQ2tqK6dOno6ioCCaTSS6ze/duBAYGYsmSJejq6kJaWhoOHjyIgIAArZtDRGOUNG4cou6fhgn32NDx9xZ8+peP8IOUxxFqGj/aTaMRJ75b1NT3T6qTfGlpqeK1JEmw2+2w2+0D1gkODkZ+fj7y8/PVvj0R0aDGBRoQEh0H4CMYgsNuWp5ITzjVLBER6dpYvvCOSZ6IiPSN5+SJiIj0Se0kM2NyghoiIiK6vbEnT0RE+ufHQ+5qMMkTEZGuCQA9Kkbc/XewnsP1REREusWePBER6Zr47j819f0VkzwREelaz3eLmvr+isP1REREOsWePBER6VqPUHfhnZq6o41JnoiIdG0sn5PncD0REZGG7HY7JElSLGazWd4uhIDdbofFYkFISAhSU1NRX1+v2Ifb7UZWVhaio6MRFhaGRYsWobm52ee2MMkTEZGu9Q7Xq1l8NXnyZLS0tMhLbW2tvG3Hjh3YtWsX9u7di8rKSpjNZmRkZKC9vV0uk52djcLCQhQUFKC8vBwdHR1YsGABvF6vT+3gcD0REenaaFxdHxgYqOi99xJCYM+ePdi0aRMWL14MADh06BBiY2Nx7NgxPP/882hra8OBAwfw5ptvIj09HQBw5MgRWK1WlJSUYO7cuUNuB3vyRESka0KoXwDA5XIpFrfbPeB7NjQ0wGKxYNKkSVi2bBm+/PJLAEBjYyMcDgcyMzPlskajEbNmzUJFRQUAoKqqCh6PR1HGYrHAZrPJZYaKSZ6IiGgIrFYrIiIi5CUvL6/fctOnT8fhw4dx8uRJ7N+/Hw6HAykpKfj222/hcDgAALGxsYo6sbGx8jaHw4GgoCBMmDBhwDJDxeF6IiLStWvD9cO/Qr53uL6pqQnh4eHyeqPR2G/5efPmyT8nJiZi5syZuPfee3Ho0CHMmDEDACBJyhlzhBB91t1oKGVuxJ48ERHpmlbD9eHh4YploCR/o7CwMCQmJqKhoUE+T39jj9zpdMq9e7PZjO7ubrS2tg5YZqiY5ImIiG4ht9uNzz77DHFxcZg0aRLMZjOKi4vl7d3d3SgrK0NKSgoAICkpCQaDQVGmpaUFdXV1cpmh4nA9ERHp2khfXZ+bm4uFCxdi4sSJcDqd2Lp1K1wuF1auXAlJkpCdnY3t27cjISEBCQkJ2L59O0JDQ7F8+XIAQEREBFavXo2cnBxERUUhMjISubm5SExMlK+2HyomeSIi0jUBoeqcvK9PvGtubsYzzzyDb775BnfeeSdmzJiBM2fOID4+HgCwfv16dHV14YUXXkBrayumT5+OoqIimEwmeR+7d+9GYGAglixZgq6uLqSlpeHgwYMICAjwqS1M8kRERBoqKCgYdLskSbDb7bDb7QOWCQ4ORn5+PvLz81W1hUmeiIh07fqL54Zb318xyRMRka5xPnkiIiLSHfbkiYhI13qEQI+KMXc1dUcbkzwREema+G5RU99fMckTEZGuDXe62Ovr+yuekyciItIp9uSJiEjXelQ+DEdN3dHmU0/+9ddfx5QpU+SH88+cORPvvfeevH3VqlWQJEmx9M6408vtdiMrKwvR0dEICwvDokWL0NzcrM3REBER3UBosPgrn5L8XXfdhVdeeQVnz57F2bNnMWfOHPzkJz9BfX29XOaxxx5DS0uLvJw4cUKxj+zsbBQWFqKgoADl5eXo6OjAggUL4PV6tTkiIiIiAuDjcP3ChQsVr7dt24bXX38dZ86cweTJkwFcm1+3dyq9G7W1teHAgQN488035YfsHzlyBFarFSUlJZg7d+5wjoGIiGhAY/nCu2Gfk/d6vfj973+Py5cvY+bMmfL60tJSxMTEYPz48Zg1axa2bduGmJgYAEBVVRU8Hg8yMzPl8haLBTabDRUVFQMmebfbDbfbLb92uVwAAI/HA4/HM6z299Ybbn1SYjy1xXhqi/HUlhbxHMnPYiyfk/c5ydfW1mLmzJm4cuUK7rjjDhQWFuKhhx4CAMybNw9PP/004uPj0djYiJdffhlz5sxBVVUVjEYjHA4HgoKCMGHCBMU+Y2Nj4XA4BnzPvLw8bNmypc/6oqIihIaG+noICtfP10vqMZ7aYjy1xXhqS008Ozs7NWwJDcTnJP/AAw+gpqYGly5dwttvv42VK1eirKwMDz30EJYuXSqXs9lsSE5ORnx8PI4fP47FixcPuE8hBCRJGnD7hg0bsG7dOvm1y+WC1WpFZmYmwsPDfT0EANf+iiwuLkZGRgYMBsOw9kHfYzy1xXhqi/HUlhbx7B2RHQmcoMYHQUFBuO+++wAAycnJqKysxKuvvor/+I//6FM2Li4O8fHxaGhoAACYzWZ0d3ejtbVV0Zt3Op1ISUkZ8D2NRiOMRmOf9QaDQfU/WC32Qd9jPLXFeGqL8dSWmniO5OcgoG6SGT/O8eofhiOEUJwvv963336LpqYmxMXFAQCSkpJgMBgUQzwtLS2oq6sbNMkTERENV++z69Us/sqnnvzGjRsxb948WK1WtLe3o6CgAKWlpXj//ffR0dEBu92Op556CnFxcTh//jw2btyI6OhoPPnkkwCAiIgIrF69Gjk5OYiKikJkZCRyc3ORmJgoX21PRERE2vApyV+8eBE///nP0dLSgoiICEyZMgXvv/8+MjIy0NXVhdraWhw+fBiXLl1CXFwcZs+ejbfeegsmk0nex+7duxEYGIglS5agq6sLaWlpOHjwIAICAjQ/OCIiIk5QM0QHDhwYcFtISAhOnjx5030EBwcjPz8f+fn5vrw1ERHRsIzl++Q5QQ0REZFOcYIaIiLStR6ou7peTd3RxiRPRES6Jr77T019f8XheiIiIp1iT56IiHRtLF94xyRPRES6NpZvoeNwPRERkU6xJ09ERLqm9tG0Y+axtkRERP6Gt9ARERHp1Fieapbn5ImIiHSKPXkiItI1AYGeMfowHCZ5IiLStbF8Tp7D9URERDrFnjwREenaWL7wjkmeiIh0rUflOXk1dUcbh+uJiIh0ij15IiLSNU5QQ0REpFO8up6IiIh0h0meiIh0rXeCGjWLGnl5eZAkCdnZ2fI6SZL6Xf7t3/5NLpOamtpn+7Jly3x6bw7XExGRro3mcH1lZSX27duHKVOmKNa3tLQoXr/33ntYvXo1nnrqKcX65557Dr/5zW/k1yEhIT69P5M8ERHpmlcIeFX0xodbt6OjAytWrMD+/fuxdetWxTaz2ax4/cc//hGzZ8/GPffco1gfGhrap6wvOFxPREQ0BC6XS7G43e5By69Zswbz589Henr6oOUuXryI48ePY/Xq1X22HT16FNHR0Zg8eTJyc3PR3t7uU5vZkyciIl3TaoIaq9WqWL9582bY7fZ+6xQUFKC6uhqVlZU33f+hQ4dgMpmwePFixfoVK1Zg0qRJMJvNqKurw4YNG/Dxxx+juLh4yG1nkiciIl3T6px8U1MTwsPD5fVGo7Hf8k1NTVi7di2KiooQHBx80/3/7ne/w4oVK/qUfe655+SfbTYbEhISkJycjOrqajz88MNDajuTPBER0RCEh4crkvxAqqqq4HQ6kZSUJK/zer04ffo09u7dC7fbjYCAAADAf//3f+PcuXN46623brrfhx9+GAaDAQ0NDUzyREREwHfPrldx4Z2vQ/1paWmora1VrHv22Wfx4IMP4qWXXpITPAAcOHAASUlJmDp16k33W19fD4/Hg7i4uCG3hUmeiIh0baRvoTOZTLDZbIp1YWFhiIqKUqx3uVz4/e9/j507d/bZxxdffIGjR4/i8ccfR3R0ND799FPk5ORg2rRp+NGPfjTktjDJExERjYKCggIIIfDMM8/02RYUFIQPPvgAr776Kjo6OmC1WjF//nxs3rxZMRJwM0zyRLeZ7u52XHTWAQA6OlowYcLEUW4RkX8brfvkr1daWtpn3S9/+Uv88pe/7Le81WpFWVmZ6vf16T75119/HVOmTJEvPpg5cybee+89ebsQAna7HRaLBSEhIUhNTUV9fb1iH263G1lZWYiOjkZYWBgWLVqE5uZm1QdC5O+8Xg/q6g7ig1Nr8ckn/wkAqPjzFvz5zDZ0dv59lFtH5L9G+7G2o8mnJH/XXXfhlVdewdmzZ3H27FnMmTMHP/nJT+REvmPHDuzatQt79+5FZWUlzGYzMjIyFDfvZ2dno7CwEAUFBSgvL0dHRwcWLFgAr9er7ZER+REhBGpqXsNXTaUQQvlv4dKlz/HnP/8r3O5Lo9I2IvJfPiX5hQsX4vHHH8f999+P+++/H9u2bcMdd9yBM2fOQAiBPXv2YNOmTVi8eDFsNhsOHTqEzs5OHDt2DADQ1taGAwcOYOfOnUhPT8e0adNw5MgR1NbWoqSk5JYcIJE/aG39H1x0VgP9XMUrRA/c3e1oPF808g0j0oEeDRZ/Nexz8l6vF7///e9x+fJlzJw5E42NjXA4HMjMzJTLGI1GzJo1CxUVFXj++edRVVUFj8ejKGOxWGCz2VBRUYG5c+f2+15ut1vx+ECXywUA8Hg88Hg8w2p/b73h1iclxlOdpqYKAEEQ4tqvEyECFf8HgK++Kse99zw5Gs3ze/x+akuLeI7kZ6F2yN2fh+t9TvK1tbWYOXMmrly5gjvuuAOFhYV46KGHUFFRAQCIjY1VlI+NjcWFCxcAAA6HA0FBQZgwYUKfMg6HY8D3zMvLw5YtW/qsLyoqQmhoqK+HoODL4wHp5hjP4YoEsKDPWu/Vx+Wfr3qAEydOjGCb9IffT22piWdnZ6eGLRlcDwA1J4THVE/+gQceQE1NDS5duoS3334bK1euVFwBKEmSorwQos+6G92szIYNG7Bu3Tr5tcvlgtVqRWZm5pCePtQfj8eD4uJiZGRkwGAwDGsf9D3GU51PPzuCv/2tQtGT9159HAGBJyBJVwEAQUEmpM76t8F2QwPg91NbWsSzd0SWbi2fk3xQUBDuu+8+AEBycjIqKyvx6quv4qWXXgJwrbd+/dN4nE6n3Ls3m83o7u5Ga2urojfvdDqRkpIy4HsajcZ+nxFsMBhU/4PVYh/0PcZzeCZa/xF/+1spbvxbV5KufpfkxyF+4j8ytirx+6ktNfEcyc9hLA/Xq55qVggBt9stz5Rz/fBNd3c3ysrK5ASelJQEg8GgKNPS0oK6urpBkzyR3o0ffy/izNMB9B3RkqRxCA6egLvvzuxbkYhuihfeDdHGjRsxb948WK1WtLe3o6CgAKWlpXj//fchSRKys7Oxfft2JCQkICEhAdu3b0doaCiWL18OAIiIiMDq1auRk5ODqKgoREZGIjc3F4mJiTedb5dIzyRJwtSpv0RISBTOXyiB1/v9r5XoKBsSE59FUJBpFFtIRP7IpyR/8eJF/PznP0dLSwsiIiIwZcoUvP/++8jIyAAArF+/Hl1dXXjhhRfQ2tqK6dOno6ioCCbT97+cdu/ejcDAQCxZsgRdXV1IS0vDwYMHfXpMH5EejRsXiAcfXIr77lsEp/OvqKz8Cv/46FaEhw99Mgoi6mssD9f7lOQPHDgw6HZJkmC322G32wcsExwcjPz8fOTn5/vy1kRjRmBgCO680wbgK4SERI92c4j8Xo9Ql6h7/DfHqz8nT0RERLcnTlBDRES65oW6Hq0/P3SdSZ6IiHRtLJ+T53A9ERGRTrEnT0REuqb2Xvcxc588ERGRvxnLw/VM8kREpGs9QoJXDD6Hys3q+yuekyciItIp9uSJiEjXeiChR0WftqefOSX8BZM8ERHpm5CuLWrq+ykO1xMREekUe/JERKRrAhKEiiF3NXVHG5M8ERHpG4friYiISG/YkyciIl3jcD0REZFeiXHXFjX1/ZT/tpyIiIgGxZ48ERHpmhAShIqL59TUHW1M8kREpHPSd4ua+v6JSZ6IiHRtLPfkeU6eiIhIp9iTJyIinRsHdX1a/+0PM8kTEZGucbieiIiIdIc9eSIi0jleXU9ERKRPnKCGiIiI9IY9eSIi0jVeeEdERKRb4zRYhi8vLw+SJCE7O1tet2rVKkiSpFhmzJihqOd2u5GVlYXo6GiEhYVh0aJFaG5u9um9meSJiIhukcrKSuzbtw9Tpkzps+2xxx5DS0uLvJw4cUKxPTs7G4WFhSgoKEB5eTk6OjqwYMECeL3eIb8/kzwREemagCQP2Q9rGebV9R0dHVixYgX279+PCRMm9NluNBphNpvlJTIyUt7W1taGAwcOYOfOnUhPT8e0adNw5MgR1NbWoqSkZMht8CnJ5+Xl4ZFHHoHJZEJMTAyeeOIJnDt3TlFmpIYgiIiIhk5SsVzjcrkUi9vtHvQd16xZg/nz5yM9Pb3f7aWlpYiJicH999+P5557Dk6nU95WVVUFj8eDzMxMeZ3FYoHNZkNFRcWQj9qnJF9WVoY1a9bgzJkzKC4uxtWrV5GZmYnLly8ryo3EEAQREdFQqOrFX3fRntVqRUREhLzk5eUN+J4FBQWorq4esMy8efNw9OhRnDp1Cjt37kRlZSXmzJkj/+HgcDgQFBTUZwQgNjYWDodjyMfu09X177//vuL1G2+8gZiYGFRVVeHHP/6xvL53CKI/vUMQb775pvzXzZEjR2C1WlFSUoK5c+f60iQiIqIR0dTUhPDwcPm10WgcsNzatWtRVFSE4ODgfsssXbpU/tlmsyE5ORnx8fE4fvw4Fi9ePGAbhBCQpKGfPlB1C11bWxsAKM4jAN8PQYwfPx6zZs3Ctm3bEBMTA+DmQxD9JXm3260YFnG5XAAAj8cDj8czrLb31htufVJiPLXFeGqL8dSWFvEc2c9CmwlqwsPDFUl+IFVVVXA6nUhKSpLXeb1enD59Gnv37oXb7UZAQICiTlxcHOLj49HQ0AAAMJvN6O7uRmtrq6I373Q6kZKSMuSWDzvJCyGwbt06PProo7DZbPL6efPm4emnn0Z8fDwaGxvx8ssvY86cOaiqqoLRaBzWEEReXh62bNnSZ31RURFCQ0OHewgAgOLiYlX1SYnx1BbjqS3GU1tq4tnZ2alhSwY30vfJp6Wloba2VrHu2WefxYMPPoiXXnqpT4IHgG+//RZNTU2Ii4sDACQlJcFgMKC4uBhLliwBALS0tKCurg47duwYcluGneRffPFFfPLJJygvL1esvxVDEBs2bMC6devk1y6XC1arFZmZmUP6q6o/Ho8HxcXFyMjIgMFgGNY+6HuMp7YYT20xntrSIp69I7J6ZDKZFJ1fAAgLC0NUVBRsNhs6Ojpgt9vx1FNPIS4uDufPn8fGjRsRHR2NJ598EgAQERGB1atXIycnB1FRUYiMjERubi4SExMHvJCvP8NK8llZWXj33Xdx+vRp3HXXXYOW1WIIwmg09nvuw2AwqP4Hq8U+6HuMp7YYT20xntpSE88R/Rxus2fXBwQEoLa2FocPH8alS5cQFxeH2bNn46233oLJZJLL7d69G4GBgViyZAm6urqQlpaGgwcP9jsSMBCfkrwQAllZWSgsLERpaSkmTZp00zq3agiCiIhoKASGf697b321SktL5Z9DQkJw8uTJm9YJDg5Gfn4+8vPzh/2+PiX5NWvW4NixY/jjH/8Ik8kkn0OPiIhASEjIiA5BEBER0eB8SvKvv/46ACA1NVWx/o033sCqVatGdAiCiIhoSG6z4fqR5PNw/WBGcgiCiIhoKATGQai4hU5N3dHmvy0nIiKiQXE+eSIi0jcO1xMREenT7XB1/WhhkiciIn0bwz15npMnIiLSKfbkiYhI14QYByFUXF2vou5oY5InIiKdk75b1NT3T/775wkRERENij15IiLStzF84R2TPBER6dpYvoWOw/VEREQ6xZ48ERHpm4DK4XrNWjLimOSJiEjfVN5CBz++hc5/W05ERESDYk+eiIh0buzeJ88kT0REuiaEBKHinLyauqONSZ6IiHRu7PbkeU6eiIhIp9iTJyIiXeMENURERLrF4XoiIiLSGfbkiYhI13h1PRERkV6N4VnoOFxPRESkU+zJExGRro3lqWaZ5ImISN/EOHWTzPjxLXT+23IiIiIaFHvyRESkaxyuJyIi0qsxfHU9kzwREenaWO7J85w8qXap8zJO/bUOAHD+G+cot4aIiHr5lOTz8vLwyCOPwGQyISYmBk888QTOnTunKCOEgN1uh8ViQUhICFJTU1FfX68o43a7kZWVhejoaISFhWHRokVobm5WfzQ0orqvXsUr772Deb/dit8c/z0AYNWh/xfPvfk6/nbpf0e5dURE3xHS91fYD2sZIz35srIyrFmzBmfOnEFxcTGuXr2KzMxMXL58WS6zY8cO7Nq1C3v37kVlZSXMZjMyMjLQ3t4ul8nOzkZhYSEKCgpQXl6Ojo4OLFiwAF6vV7sjo1tKCIGNfziKwpq/4GpPj2JbbfNXWH3oNXzT0T5AbSKikSMEIHrE8Bcx2kcwfD4l+ffffx+rVq3C5MmTMXXqVLzxxhv46quvUFVVBeDaL/49e/Zg06ZNWLx4MWw2Gw4dOoTOzk4cO3YMANDW1oYDBw5g586dSE9Px7Rp03DkyBHU1taipKRE+yOkW6Km6TzK/udT9PTz7feKHrR2duD/qywfhZYREVEvVRfetbW1AQAiIyMBAI2NjXA4HMjMzJTLGI1GzJo1CxUVFXj++edRVVUFj8ejKGOxWGCz2VBRUYG5c+f2eR+32w232y2/drlcAACPxwOPxzOstvfWG279se692iqEBBrg/a4XHzQuQPF/AHjv47P450fTR6V9/o7fT20xntrSIp4j+lmI7xY19f3UsJO8EALr1q3Do48+CpvNBgBwOBwAgNjYWEXZ2NhYXLhwQS4TFBSECRMm9CnTW/9GeXl52LJlS5/1RUVFCA0NHe4hAACKi4tV1R+rJsOAyQ880md99gPJitcnTpwYqSbpEr+f2mI8taUmnp2dnRq2ZHCi59qipr6/GnaSf/HFF/HJJ5+gvLzvkKwkKS9SEEL0WXejwcps2LAB69atk1+7XC5YrVZkZmYiPDx8GK2/9ldkcXExMjIyYDAYhrWPsWxn0bs4Uf+Roief/UAy9pw7i+6ea9dWTAgNQ+Gv1o9mM/0Wv5/aYjy1pUU8e0dkx4K8vDxs3LgRa9euxZ49e+DxePAv//IvOHHiBL788ktEREQgPT0dr7zyCiwWi1wvNTUVZWVlin0tXboUBQUFQ37vYSX5rKwsvPvuuzh9+jTuuusueb3ZbAZwrbceFxcnr3c6nXLv3mw2o7u7G62trYrevNPpREpKSr/vZzQaYTQa+6w3GAyq/8FqsY+x6PGpyXj747/0Wd/d40V3jxfjJAnzpyYztirx+6ktxlNbauI5kp+DEFB18ZyaupWVldi3bx+mTJkir+vs7ER1dTVefvllTJ06Fa2trcjOzsaiRYtw9uxZRf3nnnsOv/nNb+TXISEhPr2/TxfeCSHw4osv4p133sGpU6cwadIkxfZJkybBbDYrhnC6u7tRVlYmJ/CkpCQYDAZFmZaWFtTV1Q2Y5On2k/iDich4aAqkfh4SESCNQ4wpAs888ugotIyI6AY9GizD0NHRgRUrVmD//v2KTm1ERASKi4uxZMkSPPDAA5gxYwby8/NRVVWFr776SrGP0NBQmM1meYmIiPCpDT4l+TVr1uDIkSM4duwYTCYTHA4HHA4Hurq6AFwbps/Ozsb27dtRWFiIuro6rFq1CqGhoVi+fLl8cKtXr0ZOTg4++OADfPTRR/jZz36GxMREpKfzIi1/IUkSfrNwGX4248cwBir/Ip9+TwIOrHwB40PDRql1RETac7lciuX6C8L7s2bNGsyfP39Iua2trQ2SJGH8+PGK9UePHkV0dDQmT56M3Nxcxe3oQ+HTcP3rr78O4Np5guu98cYbWLVqFQBg/fr16OrqwgsvvIDW1lZMnz4dRUVFMJlMcvndu3cjMDAQS5YsQVdXF9LS0nDw4EEEBASA/EdgQAD+nzmPY/WP0lB9/nP8718/R8H/yYY1Oma0m0ZEJNNquN5qtSrWb968GXa7vd86BQUFqK6uRmVl5U33f+XKFfz617/G8uXLFdeZrVixQh4hr6urw4YNG/Dxxx/7dMGjT0leDCFKkiTBbrcPeOAAEBwcjPz8fOTn5/vy9nSbCjMaMeOe+3Hir5/DHDHh5hWIiEZQ70Nt1NQHgKamJkUS7u9asd5ya9euRVFREYKDgwfdt8fjwbJly9DT04PXXntNse25556Tf7bZbEhISEBycjKqq6vx8MMPD6ntnKCGiIj0TcV5dbk+gPDw8CHd0VVVVQWn04mkpCR5ndfrxenTp7F371643W4EBATA4/FgyZIlaGxsxKlTp26674cffhgGgwENDQ1M8kRERKMhLS0NtbW1inXPPvssHnzwQbz00kuKBN/Q0IAPP/wQUVFRN91vfX09PB6P4u61m2GSJyIiXRvpW+hMJpP8kLheYWFhiIqKgs1mw9WrV/HTn/4U1dXV+NOf/gSv1ys/DC4yMhJBQUH44osvcPToUTz++OOIjo7Gp59+ipycHEybNg0/+tGPhtwWJnkiItK12+2Jd83NzXj33XcBAD/84Q8V2z788EOkpqYiKCgIH3zwAV599VV0dHTAarVi/vz52Lx5s08XqTPJExER3WKlpaXyz3ffffdNL2S3Wq19nnY3HEzyRESkb5yghoiISJ+EUHkLnR9PKO/TE++IiIjIf7AnT0REuna7XXg3kpjkiYhI38bwOXkO1xMREekUe/JERKRrHK4nIiLSqZF+4t3thEmeiIj0TaMJavwRz8kTERHpFHvyRESkb0Koe6CNH4/XM8kTEZGujeUL7zhcT0REpFPsyRMRkb6N4QvvmOSJiEjXOFxPREREusOePBER6dpY7skzyRMRkb4JAaiYT96fb6HjcD0REZFOsSdPRES6xmfXExER6RTPyRMREenVGL5PnufkiYiIdIo9eSIi0jUO1xMREenUWE7yHK4nIiLSKZ+T/OnTp7Fw4UJYLBZIkoQ//OEPiu2rVq2CJEmKZcaMGYoybrcbWVlZiI6ORlhYGBYtWoTm5mZVB0JERNSvHqF+8VM+J/nLly9j6tSp2Lt374BlHnvsMbS0tMjLiRMnFNuzs7NRWFiIgoIClJeXo6OjAwsWLIDX6/X9CIiIiAbRO1yvZvFXPp+TnzdvHubNmzdoGaPRCLPZ3O+2trY2HDhwAG+++SbS09MBAEeOHIHVakVJSQnmzp3ra5OIiIioH7fkwrvS0lLExMRg/PjxmDVrFrZt24aYmBgAQFVVFTweDzIzM+XyFosFNpsNFRUV/SZ5t9sNt9stv3a5XAAAj8cDj8czrDb21htufVJiPLXFeGqL8dSWFvEcyc9iLF94p3mSnzdvHp5++mnEx8ejsbERL7/8MubMmYOqqioYjUY4HA4EBQVhwoQJinqxsbFwOBz97jMvLw9btmzps76oqAihoaGq2ltcXKyqPikxntpiPLXFeGpLTTw7Ozs1bMlNjOGH4Wie5JcuXSr/bLPZkJycjPj4eBw/fhyLFy8esJ4QApIk9bttw4YNWLdunfza5XLBarUiMzMT4eHhw2qnx+NBcXExMjIyYDAYhrUP+h7jqS3GU1uMp7a0iGfviCzdWrf8Pvm4uDjEx8ejoaEBAGA2m9Hd3Y3W1lZFb97pdCIlJaXffRiNRhiNxj7rDQaD6n+wWuyDvsd4aovx1BbjqS018RzJz0EIlcP1/ntx/a2/T/7bb79FU1MT4uLiAABJSUkwGAyKYZ6WlhbU1dUNmOSJiIiGS/QI1Yu/8rkn39HRgc8//1x+3djYiJqaGkRGRiIyMhJ2ux1PPfUU4uLicP78eWzcuBHR0dF48sknAQARERFYvXo1cnJyEBUVhcjISOTm5iIxMVG+2p6IiEgzPCc/dGfPnsXs2bPl173nyleuXInXX38dtbW1OHz4MC5duoS4uDjMnj0bb731Fkwmk1xn9+7dCAwMxJIlS9DV1YW0tDQcPHgQAQEBGhwSERERAcNI8qmpqRCDnKA4efLkTfcRHByM/Px85Ofn+/r2REREPuEtdERERDo1lpM8J6ghIiLSKSZ5IiLStx4NFhXy8vIgSRKys7PldUII2O12WCwWhISEIDU1FfX19Yp6WkzmxiRPRES6NpoT1FRWVmLfvn2YMmWKYv2OHTuwa9cu7N27F5WVlTCbzcjIyEB7e7tcRovJ3JjkiYiIboGOjg6sWLEC+/fvVzz8TQiBPXv2YNOmTVi8eDFsNhsOHTqEzs5OHDt2DMD3k7nt3LkT6enpmDZtGo4cOYLa2lqUlJQMuQ1M8kREpGtaPQzH5XIplusnTuvPmjVrMH/+/D7PgGlsbITD4VBM1GY0GjFr1ixUVFQAuPlkbkPFJE9ERPqm0Tl5q9WKiIgIecnLyxvwLQsKClBdXd1vmd7J2GJjYxXrr5+obTiTufWHt9ARERENQVNTk2JStP7mVOktt3btWhQVFSE4OHjA/d04KdtgE7X5UuZ67MkTEZGuiR5AeFUs3/Xkw8PDFctASb6qqgpOpxNJSUkIDAxEYGAgysrK8Nvf/haBgYFyD/7GHrnT6ZS3XT+Z20BlhoJJnoiIdG2kr65PS0tDbW0tampq5CU5ORkrVqxATU0N7rnnHpjNZsVEbd3d3SgrK5MnatNqMjcO1xMRkb71ABj6CHf/9X1gMplgs9kU68LCwhAVFSWvz87Oxvbt25GQkICEhARs374doaGhWL58OQDtJnNjkiciIhph69evR1dXF1544QW0trZi+vTpKCoq0nwyNyZ5IiLStx4BIamYE16D+eRLS0sVryVJgt1uh91uH7COFpO5MckTEZGuCZXD9ZyghoiIiG477MkTEZG+Df1R77em/ihikiciIl3jcD0RERHpDnvyRESka2O5J88kT0RE+qY2SftxkudwPRERkU6xJ09ERLp2bT744T/QRmjwMJzRwiRPRES6pvacOs/JExER3a54Tp6IiIj0hj15IiLSNeGFmlPyHK4nIiK6XY3lc/IcriciItIp9uSJiEjfVN5Cp8V88qOFSZ6IiHRN9EDdOXn/zfFjc7j+m2++wTvvvAMA+Otf/zrKrSEiIro1fE7yp0+fxsK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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gdf.plot(column='Z', cmap='gist_earth', aspect='equal', legend=True)\n", "plt.grid()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sampling by arrays\n", "\n", "Sampling interfaces from an array given lists of X and Y coordinates." ] }, { "cell_type": "code", "execution_count": 8, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:30.108099Z", "start_time": "2020-11-29T14:10:30.049911Z" } }, "outputs": [ { "data": { "text/html": [ "
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XYZgeometryformation
0100.00100.00378.80POINT (100.00000 100.00000)Test
1200.00200.00435.22POINT (200.00000 200.00000)Test
2300.00300.00505.29POINT (300.00000 300.00000)Test
3400.00400.00541.74POINT (400.00000 400.00000)Test
4500.00500.00562.02POINT (500.00000 500.00000)Test
\n", "
" ], "text/plain": [ " X Y Z geometry formation\n", "0 100.00 100.00 378.80 POINT (100.00000 100.00000) Test\n", "1 200.00 200.00 435.22 POINT (200.00000 200.00000) Test\n", "2 300.00 300.00 505.29 POINT (300.00000 300.00000) Test\n", "3 400.00 400.00 541.74 POINT (400.00000 400.00000) Test\n", "4 500.00 500.00 562.02 POINT (500.00000 500.00000) Test" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "point_x = [100, 200, 300, 400 ,500]\n", "point_y = [100, 200, 300, 400 ,500]\n", "\n", "gdf = gg.raster.sample_interfaces(raster=raster.read(1), \n", " point_x=point_x,\n", " point_y=point_y,\n", " extent=[0, 972, 0 ,1069],\n", " formation='Test',\n", " crs='EPSG:4326')\n", "\n", "gdf" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting the data" ] }, { "cell_type": "code", "execution_count": 9, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:30.491162Z", "start_time": "2020-11-29T14:10:30.113092Z" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gdf.plot(column='Z', cmap='gist_earth', aspect='equal', legend=True)\n", "plt.grid()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sampling Randomly from rasterio object\n", "\n", "Sampling interfaces randomly from a raster." ] }, { "cell_type": "code", "execution_count": 10, "metadata": { "ExecuteTime": { "end_time": "2021-03-14T12:07:04.604756Z", "start_time": "2021-03-14T12:07:04.574753Z" } }, "outputs": [ { "data": { "text/html": [ "
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XYZgeometryformation
0199.86496.09520.81POINT (199.85519 496.09330)Test
1511.85763.18643.24POINT (511.85172 763.17686)Test
2643.35886.38620.91POINT (643.35122 886.37867)Test
3965.651045.58620.59POINT (965.65475 1045.58279)Test
4172.10864.05602.61POINT (172.10151 864.05005)Test
5744.4152.90276.00POINT (744.40762 52.90476)Test
6739.94823.36533.44POINT (739.93577 823.35867)Test
7942.70406.58414.82POINT (942.69846 406.58069)Test
8420.5087.25436.52POINT (420.50070 87.24755)Test
9339.68264.21503.23POINT (339.68451 264.21229)Test
\n", "
" ], "text/plain": [ " X Y Z geometry formation\n", "0 199.86 496.09 520.81 POINT (199.85519 496.09330) Test\n", "1 511.85 763.18 643.24 POINT (511.85172 763.17686) Test\n", "2 643.35 886.38 620.91 POINT (643.35122 886.37867) Test\n", "3 965.65 1045.58 620.59 POINT (965.65475 1045.58279) Test\n", "4 172.10 864.05 602.61 POINT (172.10151 864.05005) Test\n", "5 744.41 52.90 276.00 POINT (744.40762 52.90476) Test\n", "6 739.94 823.36 533.44 POINT (739.93577 823.35867) Test\n", "7 942.70 406.58 414.82 POINT (942.69846 406.58069) Test\n", "8 420.50 87.25 436.52 POINT (420.50070 87.24755) Test\n", "9 339.68 264.21 503.23 POINT (339.68451 264.21229) Test" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gdf = gg.raster.sample_interfaces(raster=raster, \n", " random_samples=10,\n", " formation='Test',\n", " crs='EPSG:4326')\n", "\n", "gdf" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting the data" ] }, { "cell_type": "code", "execution_count": 11, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:30.873455Z", "start_time": "2020-11-29T14:10:30.558226Z" } }, "outputs": [ { "data": { "image/png": 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"text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gdf.plot(column='Z', cmap='gist_earth', aspect='equal', legend=True)\n", "plt.grid()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sampling Randomly from Array\n", "\n", "Sampling interfaces randomly from an array." ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:30.934762Z", "start_time": "2020-11-29T14:10:30.876448Z" } }, "outputs": [ { "data": { "text/html": [ "
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XYZgeometryformation
0950.27424.37426.03POINT (950.26670 424.37299)Test
1205.9183.67410.35POINT (205.90842 83.67224)Test
2833.19424.42388.64POINT (833.18890 424.42058)Test
3442.7968.90427.47POINT (442.79487 68.90223)Test
4333.34642.61620.60POINT (333.33986 642.60911)Test
5905.91585.65484.48POINT (905.90705 585.64586)Test
6359.391025.74742.35POINT (359.39233 1025.74463)Test
7599.42936.93660.12POINT (599.41731 936.92645)Test
814.28532.99417.31POINT (14.28131 532.98620)Test
9177.50985.25643.90POINT (177.49500 985.24662)Test
\n", "
" ], "text/plain": [ " X Y Z geometry formation\n", "0 950.27 424.37 426.03 POINT (950.26670 424.37299) Test\n", "1 205.91 83.67 410.35 POINT (205.90842 83.67224) Test\n", "2 833.19 424.42 388.64 POINT (833.18890 424.42058) Test\n", "3 442.79 68.90 427.47 POINT (442.79487 68.90223) Test\n", "4 333.34 642.61 620.60 POINT (333.33986 642.60911) Test\n", "5 905.91 585.65 484.48 POINT (905.90705 585.64586) Test\n", "6 359.39 1025.74 742.35 POINT (359.39233 1025.74463) Test\n", "7 599.42 936.93 660.12 POINT (599.41731 936.92645) Test\n", "8 14.28 532.99 417.31 POINT (14.28131 532.98620) Test\n", "9 177.50 985.25 643.90 POINT (177.49500 985.24662) Test" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gdf = gg.raster.sample_interfaces(raster=raster.read(1), \n", " random_samples=10,\n", " extent=[0, 972, 0 ,1069],\n", " formation='Test',\n", " crs='EPSG:4326')\n", "\n", "gdf" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting the data" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:31.316547Z", "start_time": "2020-11-29T14:10:30.936686Z" } }, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gdf.plot(column='Z', cmap='gist_earth', aspect='equal', legend=True)\n", "plt.grid()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Sampling Orientations from Raster\n", "\n", "### Sampling from lists\n", "\n", "Sampling orientations from a raster given lists of X and Y coordinates." ] }, { "cell_type": "code", "execution_count": 14, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:31.380625Z", "start_time": "2020-11-29T14:10:31.319537Z" } }, "outputs": [ { "data": { "text/html": [ "
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XYZgeometryformationdipazimuthpolarity
0100.00100.00376.72POINT (100.00000 100.00000)Test23.77255.931
1200.00200.00435.22POINT (200.00000 200.00000)Test30.46239.551
2300.00300.00505.29POINT (300.00000 300.00000)Test17.34222.681
3400.00400.00540.68POINT (400.00000 400.00000)Test15.51178.841
4500.00500.00561.65POINT (500.00000 500.00000)Test19.26145.551
\n", "
" ], "text/plain": [ " X Y Z geometry formation dip azimuth \\\n", "0 100.00 100.00 376.72 POINT (100.00000 100.00000) Test 23.77 255.93 \n", "1 200.00 200.00 435.22 POINT (200.00000 200.00000) Test 30.46 239.55 \n", "2 300.00 300.00 505.29 POINT (300.00000 300.00000) Test 17.34 222.68 \n", "3 400.00 400.00 540.68 POINT (400.00000 400.00000) Test 15.51 178.84 \n", "4 500.00 500.00 561.65 POINT (500.00000 500.00000) Test 19.26 145.55 \n", "\n", " polarity \n", "0 1 \n", "1 1 \n", "2 1 \n", "3 1 \n", "4 1 " ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "point_x = [100, 200, 300, 400 ,500]\n", "point_y = [100, 200, 300, 400 ,500]\n", "\n", "gdf = gg.raster.sample_orientations(raster=raster, \n", " point_x=point_x,\n", " point_y=point_y,\n", " formation='Test',\n", " crs='EPSG:4326')\n", "\n", "gdf" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting the data" ] }, { "cell_type": "code", "execution_count": 15, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:31.824828Z", "start_time": "2020-11-29T14:10:31.384607Z" } }, "outputs": [ { "data": { "image/png": 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\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gdf.plot(column='Z', cmap='gist_earth', aspect='equal', legend=True)\n", "plt.grid()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sampling from arrays\n", "\n", "Sampling orientations from an array given lists of X and Y coordinates." ] }, { "cell_type": "code", "execution_count": 16, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:31.887678Z", "start_time": "2020-11-29T14:10:31.828828Z" } }, "outputs": [ { "data": { "text/html": [ "
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XYZgeometryformationdipazimuthpolarity
0100.00100.00378.80POINT (100.00000 100.00000)Test23.75255.931
1200.00200.00435.22POINT (200.00000 200.00000)Test30.44239.551
2300.00300.00505.29POINT (300.00000 300.00000)Test17.32222.681
3400.00400.00541.74POINT (400.00000 400.00000)Test15.50178.841
4500.00500.00562.02POINT (500.00000 500.00000)Test19.24145.551
\n", "
" ], "text/plain": [ " X Y Z geometry formation dip azimuth \\\n", "0 100.00 100.00 378.80 POINT (100.00000 100.00000) Test 23.75 255.93 \n", "1 200.00 200.00 435.22 POINT (200.00000 200.00000) Test 30.44 239.55 \n", "2 300.00 300.00 505.29 POINT (300.00000 300.00000) Test 17.32 222.68 \n", "3 400.00 400.00 541.74 POINT (400.00000 400.00000) Test 15.50 178.84 \n", "4 500.00 500.00 562.02 POINT (500.00000 500.00000) Test 19.24 145.55 \n", "\n", " polarity \n", "0 1 \n", "1 1 \n", "2 1 \n", "3 1 \n", "4 1 " ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "point_x = [100, 200, 300, 400 ,500]\n", "point_y = [100, 200, 300, 400 ,500]\n", "\n", "gdf = gg.raster.sample_orientations(raster=raster.read(1), \n", " point_x=point_x,\n", " point_y=point_y,\n", " extent=[0, 972, 0 ,1069],\n", " formation='Test',\n", " crs='EPSG:4326')\n", "\n", "gdf" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sampling randomly from rasterio object\n", "\n", "Sampling orientations randomly from a raster." ] }, { "cell_type": "code", "execution_count": 17, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:44.520509Z", "start_time": "2020-11-29T14:10:44.459427Z" } }, "outputs": [ { "data": { "text/html": [ "
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XYZgeometryformationdipazimuthpolarity
0770.72454.44411.17POINT (770.72317 454.43623)Test35.50126.051
198.85104.73377.13POINT (98.85090 104.72719)Test24.00256.351
2439.8823.92417.44POINT (439.88303 23.91500)Test15.43138.911
3444.39434.85548.88POINT (444.39082 434.84986)Test16.92165.671
4642.46857.77612.54POINT (642.45819 857.77092)Test33.90115.231
5668.68101.45321.65POINT (668.68137 101.45438)Test34.24122.961
6833.16737.23491.34POINT (833.16382 737.23242)Test3.94242.611
7137.75604.27506.55POINT (137.75113 604.27271)Test39.04252.361
8249.23610.05590.12POINT (249.22976 610.04522)Test30.48224.831
9799.491011.20581.62POINT (799.49348 1011.19910)Test11.49170.421
\n", "
" ], "text/plain": [ " X Y Z geometry formation dip \\\n", "0 770.72 454.44 411.17 POINT (770.72317 454.43623) Test 35.50 \n", "1 98.85 104.73 377.13 POINT (98.85090 104.72719) Test 24.00 \n", "2 439.88 23.92 417.44 POINT (439.88303 23.91500) Test 15.43 \n", "3 444.39 434.85 548.88 POINT (444.39082 434.84986) Test 16.92 \n", "4 642.46 857.77 612.54 POINT (642.45819 857.77092) Test 33.90 \n", "5 668.68 101.45 321.65 POINT (668.68137 101.45438) Test 34.24 \n", "6 833.16 737.23 491.34 POINT (833.16382 737.23242) Test 3.94 \n", "7 137.75 604.27 506.55 POINT (137.75113 604.27271) Test 39.04 \n", "8 249.23 610.05 590.12 POINT (249.22976 610.04522) Test 30.48 \n", "9 799.49 1011.20 581.62 POINT (799.49348 1011.19910) Test 11.49 \n", "\n", " azimuth polarity \n", "0 126.05 1 \n", "1 256.35 1 \n", "2 138.91 1 \n", "3 165.67 1 \n", "4 115.23 1 \n", "5 122.96 1 \n", "6 242.61 1 \n", "7 252.36 1 \n", "8 224.83 1 \n", "9 170.42 1 " ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gdf = gg.raster.sample_orientations(raster=raster, \n", " random_samples=10,\n", " formation='Test',\n", " crs='EPSG:4326')\n", "\n", "gdf" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting the data" ] }, { "cell_type": "code", "execution_count": 18, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:48.762856Z", "start_time": "2020-11-29T14:10:48.476504Z" } }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "gdf.plot(column='Z', cmap='gist_earth', aspect='equal', legend=True)\n", "plt.grid()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Sample randomly from array\n", "\n", "Sampling orientations randomly from an array." ] }, { "cell_type": "code", "execution_count": 19, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:49.469691Z", "start_time": "2020-11-29T14:10:49.407935Z" } }, "outputs": [ { "data": { "text/html": [ "
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XYZgeometryformationdipazimuthpolarity
0433.83627.61606.19POINT (433.82765 627.60890)Test19.29144.831
1732.251007.74594.51POINT (732.25432 1007.73581)Test21.30109.131
2849.26539.88444.47POINT (849.25852 539.87992)Test29.99196.231
3506.54297.89499.94POINT (506.54294 297.89069)Test22.06134.761
4482.80959.46715.72POINT (482.79546 959.45977)Test21.73129.971
5914.62832.23543.36POINT (914.61626 832.23124)Test45.25231.651
616.88805.99447.03POINT (16.88303 805.98712)Test37.63260.691
797.01896.66534.58POINT (97.00884 896.65803)Test48.06257.251
8528.77325.33500.61POINT (528.77290 325.33217)Test20.33138.421
9635.98435.47500.45POINT (635.98363 435.47230)Test29.20118.661
\n", "
" ], "text/plain": [ " X Y Z geometry formation dip \\\n", "0 433.83 627.61 606.19 POINT (433.82765 627.60890) Test 19.29 \n", "1 732.25 1007.74 594.51 POINT (732.25432 1007.73581) Test 21.30 \n", "2 849.26 539.88 444.47 POINT (849.25852 539.87992) Test 29.99 \n", "3 506.54 297.89 499.94 POINT (506.54294 297.89069) Test 22.06 \n", "4 482.80 959.46 715.72 POINT (482.79546 959.45977) Test 21.73 \n", "5 914.62 832.23 543.36 POINT (914.61626 832.23124) Test 45.25 \n", "6 16.88 805.99 447.03 POINT (16.88303 805.98712) Test 37.63 \n", "7 97.01 896.66 534.58 POINT (97.00884 896.65803) Test 48.06 \n", "8 528.77 325.33 500.61 POINT (528.77290 325.33217) Test 20.33 \n", "9 635.98 435.47 500.45 POINT (635.98363 435.47230) Test 29.20 \n", "\n", " azimuth polarity \n", "0 144.83 1 \n", "1 109.13 1 \n", "2 196.23 1 \n", "3 134.76 1 \n", "4 129.97 1 \n", "5 231.65 1 \n", "6 260.69 1 \n", "7 257.25 1 \n", "8 138.42 1 \n", "9 118.66 1 " ] }, "execution_count": 19, "metadata": {}, "output_type": "execute_result" } ], "source": [ "gdf = gg.raster.sample_orientations(raster=raster.read(1), \n", " random_samples=10,\n", " extent=[0, 972, 0 ,1069],\n", " formation='Test',\n", " crs='EPSG:4326')\n", "\n", "gdf" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Plotting the data" ] }, { "cell_type": "code", "execution_count": 20, "metadata": { "ExecuteTime": { "end_time": "2020-11-29T14:10:50.662182Z", "start_time": "2020-11-29T14:10:50.344080Z" } }, "outputs": [ { "data": { "image/png": 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