updates for v1.9.3

.github/workflows/tests.yml

@@ -5,6 +5,7 @@ on:
     branches: [main]
   pull_request:
     branches: [main]
+  workflow_dispatch:
 
 jobs:
   build:

LICENSE.txt

@@ -1,6 +1,6 @@
 The MIT License (MIT)
 
-Copyright (c) 2016–2024 Geoff Boeing https://geoffboeing.com/
+Copyright (c) 2016-2024 Geoff Boeing https://geoffboeing.com/
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

README.md

@@ -1,18 +1,17 @@
+# OSMnx Examples Gallery
+
 [![GitHub tag](https://img.shields.io/github/v/tag/gboeing/osmnx-examples?label=Uses+OSMnx)](https://github.com/gboeing/osmnx)
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/gboeing/osmnx-examples/main?urlpath=lab)
 [![Build Status](https://github.com/gboeing/osmnx-examples/workflows/tests/badge.svg?branch=main)](https://github.com/gboeing/osmnx-examples/actions?query=workflow%3Atests)
 
-# OSMnx Examples Gallery
-
-OSMnx 2.0 is coming soon: read the [migration guide](https://github.com/gboeing/osmnx/issues/1123).
+OSMnx 2.0 is in beta: read the [migration guide](https://github.com/gboeing/osmnx/issues/1123).
 
-[OSMnx](https://github.com/gboeing/osmnx) is a Python package to download, model, analyze, and visualize street networks and other geospatial features from [OpenStreetMap](https://www.openstreetmap.org/copyright/). You can download and model walking, driving, or biking networks with a single line of code then easily analyze and visualize them. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.
+[OSMnx](https://github.com/gboeing/osmnx) is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap. You can download and model walking, driving, or biking networks with a single line of code then analyze and visualize them. You can just as easily work with urban amenities/points of interest, building footprints, transit stops, elevation data, street orientations, speed/travel time, and routing.
 
 This gallery contains step-by-step usage tutorials and feature demonstrations as Jupyter notebooks. You can run these notebooks interactively online with [Binder](https://mybinder.org/v2/gh/gboeing/osmnx-examples/main?urlpath=lab) or locally with the official OSMnx [Docker image](https://hub.docker.com/r/gboeing/osmnx). All of the examples are in this repo's [notebooks](notebooks) folder. Note that this repo's main branch generally tracks the functionality of the OSMnx repo's main branch. For examples corresponding to previously released versions of OSMnx, use this repo's tags to browse by release.
 
 ### More info:
 
-- [Overview of OSMnx](https://geoffboeing.com/2016/11/osmnx-python-street-networks/)
-- [OSMnx repo](https://github.com/gboeing/osmnx)
 - [Documentation](https://osmnx.readthedocs.io/)
-- [Journal article and citation info](https://geoffboeing.com/publications/osmnx-complex-street-networks/)
+- [Journal article and citation info](https://geoffboeing.com/publications/osmnx-paper/)
+- [Code repository](https://github.com/gboeing/osmnx)

environment.yml

@@ -3,7 +3,7 @@ channels:
   - conda-forge
 dependencies:
   - jupyterlab
-  - osmnx=1.9.2
+  - osmnx=1.9.3
   - pillow
   - pre-commit
   - python=3.11.*