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    "<img src=\"./images/mincurv_nearest.png\" align=\"right\" alt=\"drawing\" style=\"width:400px;\"/>\n",
    "\n",
    "# 2.1.2.\tSynthetic - Data Gridding\n",
    "\n",
    "As explained in the [Synthetic - Data Gridding section](http://toolkit.geosci.xyz/content/Demos/SyntheticGrid.html#synthetic-data-gridding), magnetic data should be gridded prior to applying transforms and filters. This means that the flight line data must be interpolated on a regular 2D grid. \n",
    "\n",
    "To run the widget, select each cell below (greyed boxes below with \"## Load all libraries...\" and \"view = Simulator.dataGriddingWidget...\") and press **[Shift+Enter]**, or select each cell and click on the **'Run'** button in the menu at the top of the notebook. ![runcell](./images/runcell_30per_ppt.PNG)\n",
    "\n",
    "The resulting gridded data shows the larger and smaller magnetic bodies, and the magnetic low related to the northwest trending structure cross-cutting the larger magnetic domain.\n",
    "\n",
    "Try changing the grid cell size in the box labelled **'Grid (m)'**, and view the result of gridding using the four different methods listed in the drop down menu labelled **'Method'**.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Load all libraries and setup the synthetic problem\n",
    "from GeoToolkit.Mag import Mag, ProblemSetter, MathUtils, Simulator, DataIO\n",
    "import numpy as np\n",
    "\n",
    "survey = np.loadtxt(\"./assets/TKC/Synthetic_Forward_TMI.dat\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "view = Simulator.dataGriddingWidget(\n",
    "    survey, saveAs=\"./Output/DataGrid\", dataColumn=4,\n",
    "    Method=\"minimumCurvature\", omit=[\"EPSGcode\",\"GetIncDec\",\"saveAs\",\"SaveGrid\"],\n",
    "    shapeFile='./assets/Synthetic/Synthetic_Zcontours.shp')\n",
    "display(view)"
   ]
  },
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    " "
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