{
"cells": [
{
"cell_type": "markdown",
"id": "68818bf9",
"metadata": {},
"source": [
"# Data Transfer\n",
"\n",
"This application lets users transfer data between any two objects.\n",
"\n",
" ![](\"./images/data_interp_app.png\")
\n",
"\n",
"\n",
"New user? Visit the [Getting Started](../installation.rst) page."
]
},
{
"cell_type": "markdown",
"id": "c8c2acae",
"metadata": {},
"source": [
"## Application\n",
"The following sections provide details on the different parameters controlling the application. Interactive widgets shown below are for demonstration purposes only."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "90f6a6b3",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
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"model_id": "bba580c2433d4d2583bfc7680768adf9",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(VBox(children=(Label(value='Workspace', style=DescriptionStyle(description_width='initial')), H…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from geoapps.interpolation.application import DataInterpolation\n",
"\n",
"app = DataInterpolation(geoh5=r\"../../../assets/FlinFlon.geoh5\")\n",
"app()"
]
},
{
"cell_type": "markdown",
"id": "cb4a1d8f",
"metadata": {},
"source": [
"## Project Selection\n",
"\n",
"Select and connect to an existing **geoh5** or **ui.json** project file containing data. "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "0f219175",
"metadata": {},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "2bd8da6c3ec84eefbfdf1d9f39863dec",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(Label(value='Workspace', style=DescriptionStyle(description_width='initial')), HBox(children=(F…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.project_panel"
]
},
{
"cell_type": "markdown",
"id": "dc3e41e7",
"metadata": {},
"source": [
"See the [Project Panel](base_application.ipynb#Project-Panel) page for more details."
]
},
{
"cell_type": "markdown",
"id": "a409b993",
"metadata": {},
"source": [
"## Source Object/Data\n",
"\n",
"List of objects available. Currently supports objects of type `Points`, `Curve`, `Surface` and `Grid2D` "
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "d92efd4d",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "ac16d7108ca04ebb992d93b8e32932cf",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(Dropdown(description='Object:', index=6, options=(['', None], ['Labels/Label3', UUID('39b2d390-…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.data_panel"
]
},
{
"cell_type": "markdown",
"id": "ad09360d",
"metadata": {},
"source": [
"## Destination Object\n",
"\n",
"Output object to transfer data to."
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "b25449b7",
"metadata": {},
"outputs": [
{
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"model_id": "c473d66eaabc4e838f291cae2ba550d1",
"version_major": 2,
"version_minor": 0
},
"text/plain": [
"VBox(children=(Dropdown(description='Object: ', index=10, options=(['', None], ['Labels/Label3', UUID('39b2d39…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.destination_panel"
]
},
{
"cell_type": "markdown",
"id": "5da5e657",
"metadata": {},
"source": [
"## Interpolation Parameters\n",
"\n",
"List of additional parameters controlling the interpolation routine. "
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "81b46468",
"metadata": {},
"outputs": [
{
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"model_id": "d5216ff7d7424cb2b79ca63d42a4be2f",
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"Dropdown(description='Interpolation Parameters', options=('Method', 'Scaling', 'Horizontal Extent', 'Vertical …"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.parameter_choices"
]
},
{
"cell_type": "markdown",
"id": "db2dd27b",
"metadata": {},
"source": [
"### Method\n",
"\n",
"Type of routine used to interpolate values."
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "255c5e7b",
"metadata": {},
"outputs": [
{
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"model_id": "d106d3efe8eb4c2fa4b6cd86e278f244",
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"RadioButtons(options=('Nearest', 'Inverse Distance'), style=DescriptionStyle(description_width='initial'), val…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.method"
]
},
{
"cell_type": "markdown",
"id": "c2a6dcd5",
"metadata": {},
"source": [
"#### Nearest\n",
"Use the nearest neighbors between the ``Source`` and ``Destination`` objects (vertices or centroids). Uses [Scipy.spatial.cKDTree](https://docs.scipy.org/doc/scipy/reference/generated/scipy.spatial.cKDTree.html)\n",
"\n",
"#### Linear\n",
"Use a Delaunay triangulation from [Scipy.interpolate.LinearNDInterpolator](https://docs.scipy.org/doc/scipy/reference/generated/scipy.interpolate.LinearNDInterpolator.html). \n",
"\n",
"*Beware of memory and speed limitations related to 3D triangulation.*\n",
"\n",
"#### Inverse Distance\n",
"Weighted inverse distance averaging defined as:\n",
"\n",
"\n",
"\\begin{equation}\n",
"d_j = \\frac{\\sum_{i=1}^8 d_i \\; r_i^{-1}}{\\sum_{i=1}^8 r_i^{-1}}\n",
"\\end{equation}\n",
"\n",
"where $r_i$ is the radial distance between the $j^{th}$ vertex/centroid to its $i^{th}$ nearest neighbor. Eigth neighbours are used by default.\n",
" \n",
"##### (Optional) Skew parameters\n",
"\n",
"Exaggerate the inverse distance interpolation along a set direction. Useful when dealing with spatially elongated [source](#Source-Object/Data) objects such as 2D line models. See [Example](#Example)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "55e94f40",
"metadata": {},
"outputs": [
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"VBox(children=(Label(value='Skew parameters'), FloatText(value=0.0, description='Azimuth (d.dd)', style=Descri…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.method_skew"
]
},
{
"cell_type": "markdown",
"id": "9ab18aa7",
"metadata": {},
"source": [
"\n",
"**azimuth**: Angle in degree from North of source object orientation.\n",
"\n",
"**factor**: Aspect ratio between the in-line spacing and the line separation (i.e. 25 m stations / 100 line spacing => 0.25)"
]
},
{
"cell_type": "markdown",
"id": "87bb50c0",
"metadata": {},
"source": [
"### Scaling\n",
"\n",
"Data transformation performed before interpolating."
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "a4251ff7",
"metadata": {},
"outputs": [
{
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"model_id": "42b631c0ffcb490ea213a2e77bc9dc6a",
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},
"text/plain": [
"RadioButtons(options=('Linear', 'Log'), style=DescriptionStyle(description_width='initial'), value='Linear')"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.space"
]
},
{
"cell_type": "markdown",
"id": "1fbf190f",
"metadata": {},
"source": [
"#### Linear\n",
"\n",
"Values interpolated in linear-space.\n",
"\n",
"#### Log\n",
"Values converted to log-space before interpolation. The result is converted back to its original space (signed) after transfer. Useful for data values spanning multiple order of magnitude such as resistivity."
]
},
{
"cell_type": "markdown",
"id": "572154b0",
"metadata": {},
"source": [
"### Horizontal Extent\n",
"\n",
"Add horizontal limits to the inter/extrapolation of the data."
]
},
{
"cell_type": "markdown",
"id": "38868eff",
"metadata": {},
"source": [
"#### Maximum distance \n",
"\n",
"Maximum 2D radial distance between the vertices/cells of the input and output objects. No-data-values are assigned beyond the specified distance. "
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "500b57a5",
"metadata": {},
"outputs": [
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"FloatText(value=2000.0, description='Maximum distance (m)', style=DescriptionStyle(description_width='initial'…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.max_distance"
]
},
{
"cell_type": "markdown",
"id": "6b267d2f",
"metadata": {},
"source": [
"#### (Optional) Object hull\n",
"\n",
"Use the vertices/cells of a specified object to compute the horizontal extent. Usuful when transfering model values across meshes while limiting the extent of the output model to the survey area. "
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "2e52f524",
"metadata": {},
"outputs": [
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"application/vnd.jupyter.widget-view+json": {
"model_id": "9843bf5c181948ffb014737be1e53df5",
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"Dropdown(description='Object hull', options=(['', None], ['Labels/Label3', UUID('39b2d390-6063-4463-a454-a6060…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.xy_extent"
]
},
{
"cell_type": "markdown",
"id": "939eb081",
"metadata": {},
"source": [
"### Vertical Extent\n",
"\n",
"Add vertical limits to the interpolation."
]
},
{
"cell_type": "markdown",
"id": "f725d4e9",
"metadata": {},
"source": [
"#### Maximum Depth\n",
"\n",
"Maximum vertical distance (depth) between the vertices/cells of the input and output objects. No-data-values are assigned beyond the specified distance. "
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "cba572da",
"metadata": {},
"outputs": [
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"FloatText(value=1000.0, description='Maximum depth (m)', style=DescriptionStyle(description_width='initial'))"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.max_depth"
]
},
{
"cell_type": "markdown",
"id": "79e9a419",
"metadata": {},
"source": [
"#### (Optional) Topography\n",
"\n",
"Upper vertical limit of the interpolation defined by object vertices triangulated along the XY plane. A specific data field can be specified for the elevation of the vertices."
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "e0dddf0b",
"metadata": {},
"outputs": [
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},
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"VBox(children=(Dropdown(description='Object:', index=13, options=(['', None], ['Labels/Label3', UUID('39b2d390…"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"app.topography.data_panel"
]
},
{
"cell_type": "markdown",
"id": "f4de33de",
"metadata": {},
"source": [
"### No-data-value\n",
"\n",
"Specify the fill value to assign vertices/cells beyond the horizontal and vertical extents. "
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "c48d28ae",
"metadata": {},
"outputs": [
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},
"metadata": {},
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],
"source": [
"app.no_data_value"
]
},
{
"cell_type": "markdown",
"id": "347869b1",
"metadata": {},
"source": [
"## Output Panel\n",
"\n",
"Trigger the computation routine and store the result."
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "80163591",
"metadata": {
"scrolled": true
},
"outputs": [
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},
"metadata": {},
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],
"source": [
"app.output_panel"
]
},
{
"cell_type": "markdown",
"id": "2fe5a4be",
"metadata": {},
"source": [
"See the [Output Panel](base_application.ipynb#Output-Panel) page for more details."
]
},
{
"cell_type": "markdown",
"id": "7345f7e1",
"metadata": {},
"source": [
"## Example"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "ef3d9393",
"metadata": {
"nbsphinx": "hidden"
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Running data transfer . . .\n",
"Computing nearest neighbor interpolation\n",
"Saved to C:\\Users\\dominiquef\\Documents\\GIT\\mira\\geoapps\\assets\\Temp\\Interpolation_1658857038.geoh5\n"
]
}
],
"source": [
"app.skew_angle.value = 70\n",
"app.skew_factor.value = 0.25\n",
"app.trigger.click()"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "b0e4d72c",
"metadata": {
"scrolled": false
},
"outputs": [],
"source": [
"import numpy as np\n",
"from geoapps.utils.plotting import plotly_block_model, plotly_scatter\n",
"# Some plotting calls using plotly wrappers\n",
"points, data = app.get_selected_entities()\n",
"obj = app.workspace.get_entity(app.out_object.value)[0]\n",
"figure = plotly_scatter(points, color=np.log10(data[0].values), marker_scale=1, cmin=-4, cmax=-1)\n",
"figure = plotly_block_model(\n",
" obj, \n",
" value=np.log10(obj.children[0].values), \n",
" figure=figure, cmin=-4, cmax=-1\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "3c79e1bb",
"metadata": {
"nbsphinx": "hidden"
},
"outputs": [],
"source": [
"figure.write_image(\"images/data_interp_thumbnail.png\")"
]
},
{
"cell_type": "markdown",
"id": "cad5ffc8",
"metadata": {},
"source": [
"![](\"./images/data_interp_thumbnail.png\")
"
]
},
{
"cell_type": "markdown",
"id": "d66c6d6f",
"metadata": {},
"source": [
"Need help? Contact us at support@mirageoscience.com"
]
}
],
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