diff --git a/docs/examples.md b/docs/examples.md index 9c84d78..db02dcb 100644 --- a/docs/examples.md +++ b/docs/examples.md @@ -19,7 +19,8 @@ Example of a simple analysis of soil cores that are directly retrieved from the :text-align: center :link: ./examples/combine_geotop_with_cpts.html :img-bottom: ./_static/cpts_usp.png -description. +Example of how information from a voxelmodel (e.g. GeoTOP) can be combined with point data +(e.g. CPT data). ``` ```{grid-item-card} GeoST + scikit-learn :text-align: center diff --git a/docs/examples/combine_geotop_with_cpts.ipynb b/docs/examples/combine_geotop_with_cpts.ipynb index 9a9434d..d13c158 100644 --- a/docs/examples/combine_geotop_with_cpts.ipynb +++ b/docs/examples/combine_geotop_with_cpts.ipynb @@ -6,14 +6,14 @@ "source": [ "# Add stratigraphy from GeoTOP to CPT data\n", "\n", - "This tutorial shows how stratigraphic layer boundaries from GeoTOP can easily be added to CPT data. This way, CPT parameters can easily be aggregated to get averages for geological units. For this example we are going to use a selection of CPTs in the area of the Utrecht Science Park (USP).\n", + "This example shows how stratigraphic layer boundaries from GeoTOP can easily be added to CPT data. This way, CPT parameters can easily be aggregated to get averages for geological units. For this example we are going to use a selection of CPTs in the area of the Utrecht Science Park (USP).\n", "\n", "We will first import the relevant modules and plot the locations of the CPTs in the `CptCollection`." ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "metadata": {}, "outputs": [ { @@ -209,9 +209,8 @@ "from matplotlib import pyplot as plt\n", "\n", "import geost\n", - "from geost.bro import GeoTop\n", "from geost.analysis.combine import add_voxelmodel_variable\n", - "\n", + "from geost.bro import GeoTop\n", "\n", "cpts = geost.read_cpt_table(r'c:\\Users\\knaake\\OneDrive - Stichting Deltares\\Documents\\data\\cpt_data_usp.parquet')\n", "cpts.header.gdf.explore(style_kwds=dict(color=\"red\", weight=6))"