Other packages > Find by keyword >

GWRLASSO  

A Hybrid Model for Spatial Prediction Through Local Regression
View on CRAN: Click here


Download and install GWRLASSO package within the R console
Install from CRAN:
install.packages("GWRLASSO")

Install from Github:
library("remotes")
install_github("cran/GWRLASSO")

Install by package version:
library("remotes")
install_version("GWRLASSO", "0.1.0")



Attach the package and use:
library("GWRLASSO")
Maintained by
Nobin Chandra Paul
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-08-28
Latest Update: 2023-08-28
Description:
It implements a hybrid spatial model for improved spatial prediction by combining the variable selection capability of LASSO (Least Absolute Shrinkage and Selection Operator) with the Geographically Weighted Regression (GWR) model that captures the spatially varying relationship efficiently. For method details see, Wheeler, D.C.(2009).. The developed hybrid model efficiently selects the relevant variables by using LASSO as the first step; these selected variables are then incorporated into the GWR framework, allowing the estimation of spatially varying regression coefficients at unknown locations and finally predicting the values of the response variable at unknown test locations while taking into account the spatial heterogeneity of the data. Integrating the LASSO and GWR models enhances prediction accuracy by considering spatial heterogeneity and capturing the local relationships between the predictors and the response variable. The developed hybrid spatial model can be useful for spatial modeling, especially in scenarios involving complex spatial patterns and large datasets with multiple predictor variables.
How to cite:
Nobin Chandra Paul (2023). GWRLASSO: A Hybrid Model for Spatial Prediction Through Local Regression. R package version 0.1.0, https://cran.r-project.org/web/packages/GWRLASSO. Accessed 04 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited GWRLASSO R package
View GWRLASSO citation profile
Other R packages that GWRLASSO depends, imports, suggests or enhances
Complete documentation for GWRLASSO
Functions, R codes and Examples using the GWRLASSO R package
Full GWRLASSO package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

rWishart  
Random Wishart Matrix Generation
An expansion of R's 'stats' random wishart matrix generation. This package allows the user to gener ...
Download / Learn more Package Citations See dependency  
plotbb  
Grammar of Graphics for 'base' Plot
Proof of concept for implementing grammar of graphics using base plot. The bbplot() function initial ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
skilljaR  
Connect to Your 'Skilljar' Data
Functions that simplify calls to the 'Skilljar' API. See < ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,834

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA