osmnx-examples | Usage examples, demos, and tutorials for OSMnx | Map library
kandi X-RAY | osmnx-examples Summary
kandi X-RAY | osmnx-examples Summary
OSMnx is a Python package to work with street networks and other spatial data from OpenStreetMap: retrieve, model, analyze, and visualize street networks as well as other infrastructure types, points of interest, building footprints, speed/travel time, elevation, and more. This repo contains usage examples and feature demonstrations. You can run these OSMnx example notebooks interactively online with Binder or locally with the official OSMnx docker image. All of the examples are in this repo's notebooks folder. Note that this repo's main branch generally tracks the functionality of the OSMnx repo's main branch. For examples corresponding to previous versions, use this repo's tags to browse by release.
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QUESTION
I spent a lot of time reading and testing the example notebooks of OSMnx but I couldn't figure out a way to simply calculate the travel time from a given point (GPS coordonates) to an other one. I would like to estimate, for each point from my list, how long it takes to go to a specific point (sometimes 100km away). I don't need to generate a graph/map/plot, as I only need the duration of each trip (and I think that OSMnx maps render better at a city-scale).
I am pretty desperate as I could not find a simple way to do this across different Python libraries... If doing this calculation for +-10k points within a country-scale map is asking too much from OSMnx, could a locally stored pbf file of the country be helpful for another solution?
...ANSWER
Answered 2021-Oct-14 at 19:23There are inherent trade-offs when you want to model a large study area such as an entire region or an entire country: 1) model precision vs 2) area size vs 3) memory/speed. You need to trade off one of these three.
For the first, you can model a coarser-grained network, such as only major roads in the region/country, rather than millions of fine-grained residential streets and paths. For the second, you can study a smaller area. For the third, you can provision a machine with lots of memory and then let the script run for a while to complete the process. What you trade off will be up to your own needs for this analysis.
In the example code below, I chose to trade off #1: I've modeled this region (West Midlands) by its motorways and trunk roads. Given a different analytical goal, you may trade off other things instead. After creating the model, I randomly sample 1000 origin and destination lat-long points, snap them to the nearest nodes in the graph, and solve the shortest paths by travel time (accounting for speed limits) with multiprocessing.
QUESTION
I work with osmnx to a urban project . I have a problem when run in python 3.9.1 the follow example:
...ANSWER
Answered 2021-Apr-29 at 15:49This should be fixed now in OSMnx. You can either install the main branch from Github to get the fix early, or wait for v1.1 to be released in early May 2021. The issue seemed to take different guises depending on your operating system, including kernel restarting, OSError, segmentation fault, and stack overflow errors that can occur if you're using GeoPandas with pygeos installed.
QUESTION
I'm using the helper function provided here with some modifications for distance and color. I tried it without my changes and it has the same result. I noticed if I used the 'natural' tag that water ways will extend past the figure but I'm not using it in these, only 'building'.
Code being used:
...ANSWER
Answered 2020-Oct-06 at 17:35The short answer is you are calling plot_footprints at the end, but not passing it a bbox argument. So, per the docs, it calculates the figure's bounding box to display from the spatial extents of the geometries. Some of the geometries that intersect your query area also extend far beyond it. Create a bbox that matches your query area and pass it to the plotting function.
Here's a simplified but complete working example.
QUESTION
Running the OSMnx isochrones example, get a TypeError: "Set type is unordered" on the last cell.
Any idea what's going wrong?
OSMnx 0.15.1 on Python 3.8.5, Pandas 1.1.1, GeoPandas 0.8.1.
It works as expected with Pandas 1.0.5, but fails with Pandas 1.1 or 1.1.1
...ANSWER
Answered 2020-Sep-01 at 10:43This is an issue in the example. It it initializes a data frame with subgraph.nodes()
QUESTION
I have a large data (10k rows) of locations (lat, lon) and I would like to compute a 10min-walk isochrone starting from each point with OSMnx. (I tried with openrouteservice but have some limitations). I tried with this example: https://github.com/gboeing/osmnx-examples/blob/v0.13.0/notebooks/13-isolines-isochrones.ipynb
...ANSWER
Answered 2020-Jul-08 at 16:18This will be an inherently slow process. If you have 10,000 locations and they are all far apart from each other, then you need to download and model 10,000 local street networks to calculate accessibility around each point. This means 10,000 server calls and data downloads and graph building and topology cleaning, etc, etc.
Accordingly, 100 rows in 3 minutes seems pretty fast to me, especially considering that it means you can complete all 10,000 rows in ~300 minutes (i.e., 5 hours) given your estimated timings. Just start the process before you go to bed, and when you wake up it'll be done. This assumes that this is a one-off computation that needn't be recomputed frequently.
The other alternative would be to parallelize it by dividing it up among say 10 containers or processes, each of which tackles 1,000 locations. This would finish in ~30 minutes, given your estimated timings.
Last question, what are the limitations of OSMnx request, especially for large data ?
The limitation for working with massive network models with OSMnx is the amount of RAM on your computer.
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