analisis-numerico-computo-cientifico
osmnx-examples
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| analisis-numerico-computo-cientifico | osmnx-examples | |
|---|---|---|
| 1 | 3 | |
| 44 | 1,452 | |
| - | - | |
| 0.0 | 7.8 | |
| over 1 year ago | 4 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| Apache License 2.0 | MIT License |
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analisis-numerico-computo-cientifico
osmnx-examples
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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?
docker-curriculum - :dolphin: A comprehensive tutorial on getting started with Docker!
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.
vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.
ijava-binder - An IJava binder base for trying the Java Jupyter kernel on https://mybinder.org/
Kernels - This is a set of simple programs that can be used to explore the features of a parallel platform.
r5 - Developed to power Conveyal's web-based interface for scenario planning and land-use/transport accessibility analysis, R5 is our routing engine for multimodal (transit/bike/walk/car) networks with a particular focus on public transit
DeepLearning - Contains all my works, references for deep learning
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
laser - The HPC toolbox: fused matrix multiplication, convolution, data-parallel strided tensor primitives, OpenMP facilities, SIMD, JIT Assembler, CPU detection, state-of-the-art vectorized BLAS for floats and integers
city-street-orientations - Playing with OSMnx
cocp - Source code for the examples accompanying the paper "Learning convex optimization control policies."
ppde642 - USC urban data science course series with Python and Jupyter