road-network | QuadTree Model for generating random road network | Dataset library

by arun1729 Python Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | road-network Summary

road-network is a Python library typically used in Artificial Intelligence, Dataset applications. road-network has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However road-network build file is not available. You can download it from GitHub.

QuadTree Model for generating random road network

Support

Quality

Security

License

Reuse

Support

road-network has a low active ecosystem.

It has 62 star(s) with 10 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

road-network has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of road-network is current.

Quality

road-network has 0 bugs and 0 code smells.

Security

road-network has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

road-network code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

road-network is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

road-network releases are not available. You will need to build from source code and install.

road-network has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed road-network and discovered the below as its top functions. This is intended to give you an instant insight into road-network implemented functionality, and help decide if they suit your requirements.

Draws the rectangle
Generate a QuadTree .
Add squares at nodeid .
print bfs tree
Initialize node attributes .
Generate a plane .
Distance between two points
Get a random beta distribution .
Calculate the coordinates of the given box .
Prints the tree stats

Get all kandi verified functions for this library.

road-network Key Features

No Key Features are available at this moment for road-network.

road-network Examples and Code Snippets

No Code Snippets are available at this moment for road-network.

Community Discussions

Trending Discussions on road-network

Find the distance from each node to the k-nearest special nodes

How do I parse a large KML file into JSON

QUESTION

Find the distance from each node to the k-nearest special nodes

Asked 2020-Oct-28 at 10:00

Please let me know if my question isn't phrased clearly and I'll try my best to rephrase!

We are given a large road-network (>1,000,000 nodes, >3,000,000 edges), this graph is unweighted and undirected. In this graph, we will select 1000 random nodes as 'police stations'.

To find the distance to the nearest police station from each node, I was able to solve it by implementing a multi-source BFS, where the police station nodes are added to the queue at the start. The complexity is then O(V+E) compared to O(V(V+E)) when running the normal BFS V times.

However, I can't think of a way to modify this algorithm to find the distance to the k-nearest police stations from each node, instead of just the nearest one.

I'd really really appreciate if you guys could suggest a suitable algorithm or point me in the right direction!

...

ANSWER

Answered 2020-Oct-24 at 12:27

Adjust the algorithm so it continues after finding the nearest police station.

IE: Add the police station to a list and continue. Treat it as if it was a normal node. Only stop when you have found K police stations.

Looking at Wikipedia for BFS we find this general algorithm:

Source https://stackoverflow.com/questions/64511995

QUESTION

How do I parse a large KML file into JSON

Asked 2020-Feb-08 at 19:57

I am designing a map application that shows traffic density in areas of Hong Kong. I have to use road segment data from a .kml file I extracted from a .kmz file provided by the Transport Department website.

The data is publicly available and can be found here: https://data.gov.hk/en-data/dataset/hk-td-tis_15-road-network-v2/resource/aa45b44d-a08b-4638-92d0-1295d815982a

The file is very large, around 500MB.

I am using Node.js to process the data. I just want to extract the street name, the street code and the coordinates of the segment to possibly store in json files named corresponding to each street code.

For example, the json file for the street with the street code 10000 would be 10000.js. Or possibly in the future store that data in a database.

The main problem is that the file is large and I can't store it in memory to parse it with a kml parser.

...

ANSWER

Answered 2020-Feb-08 at 19:57

If you mean GeoJSON then, I can suggest 2 options:

togeojson, can be used in the browser and in CLI.
kml2geojson Python based library.

If you want to convert it to TopoJSON, you can convert the KML to GeoJSON then use topojson to convert the GeoJSON to TopoJSON.

Source https://stackoverflow.com/questions/60039470

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install road-network

You can download it from GitHub.
You can use road-network like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

Find more information at: