Other packages > Find by keyword >

MARSGWR  

A Hybrid Spatial Model for Capturing Spatially Varying Relationships Between Variables in the Data
View on CRAN: Click here


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

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

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



Attach the package and use:
library("MARSGWR")
Maintained by
Nobin Chandra Paul
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-05-09
Latest Update: 2023-05-09
Description:
It is a hybrid spatial model that combines the strength of two widely used regression models, MARS (Multivariate Adaptive Regression Splines) and GWR (Geographically Weighted Regression) to provide an effective approach for predicting a response variable at unknown locations. The MARS model is used in the first step of the development of a hybrid model to identify the most important predictor variables that assist in predicting the response variable. For method details see, Friedman, J.H. (1991). .The GWR model is then used to predict the response variable at testing locations based on these selected variables that account for spatial variations in the relationships between the variables. This hybrid model can improve the accuracy of the predictions compared to using an individual model alone.This developed hybrid spatial model can be useful particularly in cases where the relationship between the response variable and predictor variables is complex and non-linear, and varies across locations.
How to cite:
Nobin Chandra Paul (2023). MARSGWR: A Hybrid Spatial Model for Capturing Spatially Varying Relationships Between Variables in the Data. R package version 0.1.0, https://cran.r-project.org/web/packages/MARSGWR. Accessed 04 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited MARSGWR R package
View MARSGWR citation profile
Other R packages that MARSGWR depends, imports, suggests or enhances
Complete documentation for MARSGWR
Functions, R codes and Examples using the MARSGWR R package
Full MARSGWR 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  
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  
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  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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