30-day-map-challenge
geospatialdatascience
30-day-map-challenge | geospatialdatascience | |
---|---|---|
2 | 14 | |
70 | 454 | |
- | - | |
8.2 | 0.0 | |
4 months ago | 11 months ago | |
Jupyter Notebook | Jupyter Notebook | |
- | Creative Commons Attribution 4.0 |
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30-day-map-challenge
geospatialdatascience
What are some alternatives?
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landuse_without_buildings - OpenStreetMap: Find residential areas with too few buildings in them
adjustText - A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.
geospatial-data-catalogs - A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.
chicago-trees-analysis - How many trees has Chicago planted? And where?
app - Prototype toolkit for sustainable urban design at the speed of thought.
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
felicette - Satellite imagery for dummies.
prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.
osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.