# Geo-NX : Geospatial Network Analysis <img src="https://github.com/loco-labs/geo_nx/blob/main/docs/geo_nx.png" alt="geo_nx" style="float:right;width:100px;height:90px;">
Geo-NX is a [Python package](https://github.com/loco-labs/geo_nx) for the creation, manipulation, and study of geospatial networks.
Geo-NX extends NetworkX operations to allow operations on geometric types.
*The Geo-NX package was created as part of the [Qualicharge](https://github.com/MTES-MCT/qualicharge) project*
## Description
Geo-NX combines the capabilities of NetworkX, GeoPandas and shapely :
- NetworkX is the core of Geo-NX,
- GeoPandas is the support for vectorized processing,
- Geo-NX uses shapely for geometry analysis and manipulation
Documentation is available at https://loco-labs.github.io/geo_nx/
## Data structures
`geo_nx.GeoGraph` is a subclass of `networkx.Graph` with additional data:
- 'crs': coordinate reference system,
- 'geometry': geospatial representation of nodes and edges.
A `geo_nx.GeoGraph` has two representations:
- a `networkx.Graph` representation where 'crs' is a graph attribute and 'geometry'
is a node and edge attribute (shapely object),
- a `geopandas.GeoDataFrame` representation for the nodes and for the edges where columns are id (node or edge) and attributes.
## Example
Simple distance from Paris to Marseille
```python
In [1]: import geo_nx as gnx
paris = Point(2.3514, 48.8575)
lyon = Point(4.8357, 45.7640)
marseille = Point(5.3691, 43.3026)
bordeaux = Point(-0.56667, 44.833328)
In [2]: simplemap = gpd.GeoDataFrame({
'geometry': [
LineString([paris, lyon]),
LineString([lyon, marseille]),
LineString([paris, bordeaux]),
LineString([bordeaux, marseille])
]}, crs=4326).to_crs(2154)
In [3]: gr_simplemap = gnx.from_geopandas_edgelist(simplemap)
In [4]: gr_simplemap.to_geopandas_nodelist()
Out[4]:
geometry node_id
0 POINT (652411.148 6862135.813) 0
1 POINT (842666.659 6519924.367) 1
2 POINT (892313.068 6247711.351) 3
3 POINT (418208.312 6421272.355) 2
In [5]: # 0: paris, 1: lyon, 2: bordeaux, 3: marseille
# weight is a calculated attribute (length of a geometry)
nx.shortest_path(gr_simplemap, source=0, target=3, weight='weight')
Out[5]: [0, 1, 3]
In [6]: nx.shortest_path_length(gr_simplemap, source=0, target=3, weight='weight')
Out[6]: 668246.1446978811
```
## Install
Install the latest released version of Geo-NX:
```shell
pip install geo_nx
```
## Bugs
Please report any bugs that you find [here](https://github.com/loco-labs/geo_nx/issues).
Or, even better, fork the repository on GitHub and create a pull request (PR).
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"description": "# Geo-NX : Geospatial Network Analysis <img src=\"https://github.com/loco-labs/geo_nx/blob/main/docs/geo_nx.png\" alt=\"geo_nx\" style=\"float:right;width:100px;height:90px;\">\r\n\r\nGeo-NX is a [Python package](https://github.com/loco-labs/geo_nx) for the creation, manipulation, and study of geospatial networks.\r\n\r\nGeo-NX extends NetworkX operations to allow operations on geometric types.\r\n\r\n*The Geo-NX package was created as part of the [Qualicharge](https://github.com/MTES-MCT/qualicharge) project*\r\n\r\n## Description\r\n\r\nGeo-NX combines the capabilities of NetworkX, GeoPandas and shapely :\r\n\r\n- NetworkX is the core of Geo-NX,\r\n- GeoPandas is the support for vectorized processing,\r\n- Geo-NX uses shapely for geometry analysis and manipulation \r\n\r\nDocumentation is available at https://loco-labs.github.io/geo_nx/\r\n\r\n## Data structures\r\n\r\n`geo_nx.GeoGraph` is a subclass of `networkx.Graph` with additional data:\r\n\r\n- 'crs': coordinate reference system,\r\n- 'geometry': geospatial representation of nodes and edges.\r\n\r\nA `geo_nx.GeoGraph` has two representations:\r\n\r\n- a `networkx.Graph` representation where 'crs' is a graph attribute and 'geometry' \r\nis a node and edge attribute (shapely object),\r\n- a `geopandas.GeoDataFrame` representation for the nodes and for the edges where columns are id (node or edge) and attributes.\r\n\r\n## Example\r\n\r\nSimple distance from Paris to Marseille\r\n\r\n```python\r\nIn [1]: import geo_nx as gnx\r\n \r\n paris = Point(2.3514, 48.8575)\r\n lyon = Point(4.8357, 45.7640)\r\n marseille = Point(5.3691, 43.3026)\r\n bordeaux = Point(-0.56667, 44.833328)\r\n\r\nIn [2]: simplemap = gpd.GeoDataFrame({\r\n 'geometry': [\r\n LineString([paris, lyon]), \r\n LineString([lyon, marseille]), \r\n LineString([paris, bordeaux]), \r\n LineString([bordeaux, marseille])\r\n ]}, crs=4326).to_crs(2154)\r\n\r\nIn [3]: gr_simplemap = gnx.from_geopandas_edgelist(simplemap)\r\n\r\nIn [4]: gr_simplemap.to_geopandas_nodelist()\r\nOut[4]:\r\n geometry node_id\r\n 0 POINT (652411.148 6862135.813) 0\r\n 1 POINT (842666.659 6519924.367) 1\r\n 2 POINT (892313.068 6247711.351) 3\r\n 3 POINT (418208.312 6421272.355) 2\r\n\r\nIn [5]: # 0: paris, 1: lyon, 2: bordeaux, 3: marseille\r\n # weight is a calculated attribute (length of a geometry)\r\n nx.shortest_path(gr_simplemap, source=0, target=3, weight='weight')\r\nOut[5]: [0, 1, 3]\r\n\r\nIn [6]: nx.shortest_path_length(gr_simplemap, source=0, target=3, weight='weight')\r\nOut[6]: 668246.1446978811\r\n```\r\n\r\n## Install\r\n\r\nInstall the latest released version of Geo-NX:\r\n\r\n```shell\r\npip install geo_nx\r\n```\r\n\r\n## Bugs\r\n\r\nPlease report any bugs that you find [here](https://github.com/loco-labs/geo_nx/issues). \r\nOr, even better, fork the repository on GitHub and create a pull request (PR).\r\n",
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