Skip to content
/ sgGWR Public

scalable stochastic gradient approach for Geographically Weighted Regression

License

Notifications You must be signed in to change notification settings

hayato-n/sgGWR

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

13 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

sgGWR

Installation

We recommend installing JAX package for efficient computation. To install sgGWR with JAX, please execute the following on your terminal.

pip install sgGWR[jax]

If you cannot install JAX (e.g., Windows users), you can omit [jax] option.

pip install sgGWR

Reference

Please cite the following article:

  • Nishi, H., & Asami, Y. (2024). Stochastic gradient geographical weighted regression (sgGWR): Scalable bandwidth optimization for geographically weighted regression. International Journal of Geographical Information Science, 38(2), 354–380. https://doi.org/10.1080/13658816.2023.2285471

About

scalable stochastic gradient approach for Geographically Weighted Regression

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published