Other packages > Find by keyword >

StepGWR  

A Hybrid Spatial Model for Prediction and Capturing Spatial Variation in the Data
View on CRAN: Click here


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

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

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



Attach the package and use:
library("StepGWR")
Maintained by
Nobin Chandra Paul
[Scholar Profile | Author Map]
First Published: 2023-05-15
Latest Update: 2023-05-15
Description:
It is a hybrid spatial model that combines the variable selection capabilities of stepwise regression methods with the predictive power of the Geographically Weighted Regression(GWR) model.The developed hybrid model follows a two-step approach where the stepwise variable selection method is applied first to identify the subset of predictors that have the most significant impact on the response variable, and then a GWR model is fitted using those selected variables for spatial prediction at test or unknown locations. For method details,see Leung, Y., Mei, C. L. and Zhang, W. X. (2000).<doi:10.1068/a3162>.This hybrid spatial model aims to improve the accuracy and interpretability of GWR predictions by selecting a subset of relevant variables through a stepwise selection process.This approach is particularly useful for modeling spatially varying relationships and improving the accuracy of spatial predictions.
How to cite:
Nobin Chandra Paul (2023). StepGWR: A Hybrid Spatial Model for Prediction and Capturing Spatial Variation in the Data. R package version 0.1.0, https://cran.r-project.org/web/packages/StepGWR. Accessed 06 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited StepGWR R package
View StepGWR citation profile
Other R packages that StepGWR depends, imports, suggests or enhances
Complete documentation for StepGWR
Functions, R codes and Examples using the StepGWR R package
Full StepGWR package functions and examples
Downloads during the last 30 days
03/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/05Downloads for StepGWR02468101214TrendBars

Today's Hot Picks in Authors and Packages

ider  
Various Methods for Estimating Intrinsic Dimension
An implementation of various methods for estimating intrinsic dimension of vector-valued dataset or ...
Download / Learn more Package Citations See dependency  
listarrays  
A Toolbox for Working with R Arrays in a Functional Programming Style
A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and name arrays. ...
Download / Learn more Package Citations See dependency  
spCP  
Spatially Varying Change Points
Implements a spatially varying change point model with unique intercepts, slopes, variance intercep ...
Download / Learn more Package Citations See dependency  
danstat  
R Client for the Statistics Denmark Databank API
The purpose of the package is to enable an R function interface into the Statistics Denmark Databank ...
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  
FuzzyQ  
Fuzzy Quantification of Common and Rare Species
Fuzzy clustering of species in an ecological community as common or rare based on their abundance a ...
Download / Learn more Package Citations See dependency  

23,990

R Packages

207,311

Dependencies

64,809

Author Associations

23,991

Publication Badges

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