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SpPOP  

Generation of Spatial Population under Different Levels of Relationships among Variables
View on CRAN: Click here


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

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

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



Attach the package and use:
library("SpPOP")
Maintained by
Nobin Chandra Paul
[Scholar Profile | Author Map]
First Published: 2023-04-24
Latest Update: 2023-04-24
Description:
The developed package can be used to generate a spatial population for different levels of relationships among the dependent and auxiliary variables along with spatially varying model parameters. A spatial layout is designed as a [0,k-1]x[0,k-1] square region on which observations are collected at (k x k) lattice points with a unit distance between any two neighbouring points along the horizontal and vertical axes. For method details see Chao, Liu., Chuanhua, Wei. and Yunan, Su. (2018).<doi:10.1080/10485252.2018.1499907>. The generated spatial population can be utilized in Geographically Weighted Regression model based analysis for studying the spatially varying relationships among the variables. Furthermore, various statistical analysis can be performed on this spatially generated data.
How to cite:
Nobin Chandra Paul (2023). SpPOP: Generation of Spatial Population under Different Levels of Relationships among Variables. R package version 0.1.0, https://cran.r-project.org/web/packages/SpPOP. Accessed 04 Apr. 2025.
Previous versions and publish date:
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Complete documentation for SpPOP
Functions, R codes and Examples using the SpPOP R package
Full SpPOP package functions and examples
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