OSMnxElevation is a lightweight Python package that binds elevation from raster datasets to nodes and edges of OpenStreetMaps (OSM) to create input network datasets that support elevation-based network analysis like walkability and bikeability in ArcGIS Pro (ESRI 2020).

Basic Demo Notebook

Step 1: Clone the repository

git clone https://github.com/Sidrcs/osmnxelevation.git

Step 2: Change the directory to lib folder

cd lib

Step 3: Install environment.yml to install dependencies using Conda

conda env create -f environment.yml

Step 4: Activate the Conda environment

conda activate oxelev

Step 5: Launch Jupyter Notebook from the terminal (Mac) or Anaconda prompt (Windows)

jupyter-notebook

1. Import the NetworkDataset module from osmnxelevation library.
   
2. Initialize the NetworkDataset instance with the required arguments:
   • place(str): City, County, State, Country [Eg: Madison, Dane, Wisconsin, US]
   • raster_fpath(str): Folder path containing Digital Elevation Models (DEMs) raster datasets. Try: USGS TNM Downloader
   • output_fpath(str): Output folder path to store geopackage outputs after elevation binding
3. Launch elevation binding to network using method bind_elevation_to_network()

# import library
import osmnxelevate as oe

# Create an instance of NetworkDataset object
ndst = oe.NetworkDataset(place = "Midland, Midland County, TX, USA",
                        raster_fpath = "Elevation_OSM\Midland_DEM",
                        output_fpath = "Elevation_OSM")

# Binds elevation to nodes and edges
ndst.bind_elevation_to_network()

1. The NetworkDataset module has visualize_edges_elevation(gpkg_fpath, col_name, title) which visualizes from_elev or to_elev columns of the edge_network.gpkg created from the output of the bind_elevation_to_network() method:

gpkg_fpath = "edge_network.gpkg"
col_name = "from_elev"
title = "Elevation model of Midland City, TX"
ndst.visualize_edges_elevation(gpkg_fpath, col_name, title)

Boeing, G. 2017. "OSMnx: New Methods for Acquiring, Constructing, Analyzing, and Visualizing Complex Street Networks." Computers, Environment and Urban Systems 65, 126-139.

OSMnxElevation is open source and licensed under the MIT license. License requires that derivative works provide proper attribution.