spatial_access | Compute travel times and spatial access measures

by GeoDaCenter Python Version: v1.0.2 License: No License

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

kandi X-RAY | spatial_access Summary

spatial_access is a Python library typically used in Travel, Transportation, Airlines applications. spatial_access has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can install using 'pip install spatial_access' or download it from GitHub, PyPI.

Compute travel times and spatial access measures at scale (millions of origin-destination pairs in minutes). Travel times for three modes: walking, biking, driving. Spatial access measures: provider-to-people ratio, avg. time to nearest provider, count/attribute sum of nearby providers, weighted access scores and floating catchment areas.

Support

Quality

Security

License

Reuse

Support

spatial_access has a low active ecosystem.

It has 28 star(s) with 11 fork(s). There are 8 watchers for this library.

It had no major release in the last 12 months.

There are 15 open issues and 51 have been closed. On average issues are closed in 41 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of spatial_access is v1.0.2

Quality

spatial_access has 0 bugs and 0 code smells.

Security

spatial_access has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

spatial_access code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

spatial_access does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

spatial_access releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

spatial_access saves you 1625 person hours of effort in developing the same functionality from scratch.

It has 3623 lines of code, 321 functions and 21 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Map categories to the category
Adds transit matrix to the category map
Get category
Adds an entry to the category map
Set the network
Removes disconnected components
Remove nodes from the graph
Return the edges as a list
Check for missing transit matrix data
Returns the destination id of the transit matrix
Return all source ids
Return all dest ids
Print data frame
Print the transit matrix
Write the model results to file
Create output filename
Build an extension
Returns the time from the source to the nearest destination
Builds a parameter dictionary

Get all kandi verified functions for this library.

spatial_access Key Features

No Key Features are available at this moment for spatial_access.

spatial_access Examples and Code Snippets

No Code Snippets are available at this moment for spatial_access.

Community Discussions

No Community Discussions are available at this moment for spatial_access.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install spatial_access

A modern compiler like gcc or clang.
A modern compiler like gcc or clang.
Dependencies MacOS: brew install spatialindex Ubuntu: sudo apt-get install libspatialindex-dev sudo apt-get install python-tk
Package pip3 install spatial_access

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: