geospatialdatascience
Course materials for: Geospatial Data Science (by mszell)
osmnx-examples
Gallery of OSMnx tutorials, usage examples, and feature demonstations. (by gboeing)
geospatialdatascience | osmnx-examples | |
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14 | 3 | |
460 | 1,460 | |
- | - | |
0.0 | 7.8 | |
11 months ago | 7 days ago | |
Jupyter Notebook | Jupyter Notebook | |
Creative Commons Attribution 4.0 | MIT License |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
geospatialdatascience
Posts with mentions or reviews of geospatialdatascience.
We have used some of these posts to build our list of alternatives
and similar projects.
osmnx-examples
Posts with mentions or reviews of osmnx-examples.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-09-22.
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Second MYOG project
For the actual printing I used ripstop by the roll custom print service. To render the image to be printed I used an open source too, https://github.com/gboeing/osmnx
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Algorithms for efficiently, and accurately, computing distances on an ellipsoid
IIRC, it can generate graphs that are both unprojected and projected and convert between them, so it might be worth looking into the source code of it if you think that sounds like what you're looking for on the OSMNX GitHub repo
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Mapping the Hidden Patterns of Cities
Geoff Boeing, the original author, provided an iPython notebook so you can run this yourself, but this script a friend of mine wrote may make it a bit simpler to run, if you wanna give it a shot yourself.
What are some alternatives?
When comparing geospatialdatascience and osmnx-examples you can also consider the following projects:
landuse_without_buildings - OpenStreetMap: Find residential areas with too few buildings in them
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.