geopandas
osmnx
| geopandas | osmnx | |
|---|---|---|
| 10 | 14 | |
| 4,218 | 4,678 | |
| 2.3% | - | |
| 9.2 | 9.5 | |
| 1 day ago | 8 days ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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.
geopandas
-
Geopandas spatial predicate performance increase?
Interesting! Full honesty I don’t know, lol. But if I were to guess… something to do with implementation of pygeos and indexing. Recent geopandas versions I believe handle joins with shapely vs. pygeos differently. Maybe if there is a declared predicate, it treats the spatial index differently. https://github.com/geopandas/geopandas/pull/1421
-
Pandas or Polars to work with dataframes?
From the little I've seen, Polars looks good, but I'm sticking with Pandas for now... I do a lot of work with GeoPandas. When they release a usable version of GeoPolars, I'll take a look.
-
GeoPandas: Crimea Assigned to Ukraine in naturalearth_lowres
Details on the root of the issue.[0]
[0] https://github.com/geopandas/geopandas/issues/2382
- Geopandas sucks for converting files
- geopandas v0.12.0 released, with Shapely 2.0 support
-
Shapely just release version 1.8.5, which includes Python 3.11 support!
This means that almost all dependencies of GeoPandas now support Python 3.11, only Fiona is left (but being worked on). See this tracking issue: https://github.com/geopandas/geopandas/issues/2592
- Recreating QGIS SAGA polygon self-intersection in python?
-
Using QGIS Processing Toolbox in an Independent Application?
Best python package alternative in my opinion: geopandas
-
Spatial Joins and Big O
Geopandas uses pygeos to implement fast spatial joins (source code is here for the sjoin function: https://github.com/geopandas/geopandas/blob/main/geopandas/tools/sjoin.py). More from GeoPandas documentation: “GeoPandas offers built-in support for spatial indexing using an R-Tree algorithm. Depending on the ability to import pygeos, GeoPandas will either use pygeos.STRtree or rtree.index.Index. The main interface for both is the same and follows the pygeos model.”
osmnx
- I played with a python module called OSMnx to create the roadmaps of some cities. These include major highways,motorways,roads and streets that carry most of the traffic.
- Planning a straight line across Norwich, the best route I could find just scraped a silver.
-
Anyone here familiar with GeoPandas in Python? Can GeoPandas calculate driving distances and drive time?
You want osmnx
-
[OC] Neighborhood walkability in Delhi
OSM road network data was analyzed using osmnx (https://github.com/gboeing/osmnx). Plotted using QGIS.
-
Rate Limit Causing Pause
I think you’re hitting this issue right now: https://github.com/gboeing/osmnx/issues/832
-
Video: Why Open Data Matters for Cycling: Visualizing a Cycling City
RDS-TMC transmits traffic data over FM radio. https://en.wikipedia.org/wiki/Traffic_message_channel Some is encrypted, some not.
It might be possible to model traffic with OSMnx to assign weights to roads by expected traffic levels https://github.com/gboeing/osmnx
Depending on where you live you might be able to get traffic data and maybe traffic models from public authorities using Freedom of Information requests.
- I just want things to work
-
Number of Public Transport Stations & Doctors in each city in Germany
Osmnx might also be a way to download data for the whole country. It breaks the area up in smaller parts automatically and also downloads the parts from Overpass. https://github.com/gboeing/osmnx
-
Tacoma!
You can make your own with a variety of tools, but I like the results from OSMnx offhand.
-
Need to get a national (US) file of cycleways.
I have no idea if this works for such large regions, but https://geoffboeing.com/publications/osmnx-complex-street-networks/ is an awesome tool to visualize street (and maybe bike) networks.
What are some alternatives?
Shapely - Manipulation and analysis of geometric objects
BlenderGIS - Blender addons to make the bridge between Blender and geographic data
py-qgis-wps - An implementation of the Web Processing Service standard from the Open Geospatial Consortium based on the QGIS processing API
pyosmium - Python bindings for libosmium
Cartopy - Cartopy - a cartographic python library with matplotlib support
overpass-wizard - :dizzy: Human friendly way to generate Overpass API queries
pytorch_geometric_temporal - PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
atlas - OSM in memory
qgis-outdoor-map - QGIS project for an outdoor map based on OpenStreetMap data.
osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.