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9 changes: 5 additions & 4 deletions docs/user_guide/getting_started.ipynb
Original file line number Diff line number Diff line change
Expand Up @@ -54,7 +54,7 @@
},
{
"cell_type": "code",
"execution_count": 1,
"execution_count": null,
"metadata": {
"execution": {
"iopub.execute_input": "2024-06-14T21:53:52.584978Z",
Expand All @@ -66,7 +66,7 @@
"outputs": [],
"source": [
"import geopandas as gpd\n",
"import momepy"
"import momepy\n"
]
},
{
Expand All @@ -75,7 +75,8 @@
"source": [
"Morphometric analysis using momepy usually starts with GeoPandas GeoDataFrame containing morphological elements. In this case, we will begin with buildings represented by their footprints. \n",
"\n",
"We have imported `momepy`, `geopandas` to handle the spatial data, and `matplotlib` to get a bit more control over plotting. To load `bubenec` data, we need to get retrieve correct path using `momepy.datasets.get_path(\"bubenec\")`. The dataset itself is a GeoPackage with more layers, and now we want `buildings`."
"We have imported `momepy`, `geopandas` to handle the spatial data, and `matplotlib` to get a bit more control over plotting. To load `bubenec` data, we need to get retrieve correct path using `momepy.datasets.get_path(\"bubenec\")`. The dataset itself is a GeoPackage with more layers, and now we want `buildings`. \n",
"To run the notebooks in this user guide, please ensure that the `mapclassify` library is installed."
]
},
{
Expand Down Expand Up @@ -539,7 +540,7 @@
"source": [
"### Coverage area ratio\n",
"\n",
"Now we can calculate how big part of each tessellation cell is covered by a related building. This is straightforward without a need for an additional function, because the two have matching index. Buildings have the same `index` as related tessellation cells, which is used to link both together (see [Data Structure](data_structure.rst))."
"Now we can calculate how big part of each tessellation cell is covered by a related building. This is straightforward without a need for an additional function, because the two have matching index. Buildings have the same `index` as related tessellation cells, which is used to link both together (see [Data Structure](data_structure.rst)).\n"
]
},
{
Expand Down