Generation of Spatial Population under Different Levels of Relationships among Variables R package SpPOP version 0.1.0 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. Software Imports: stats, qpdf, numbers Suggests: rmarkdown, knitr Nobin Chandra Paul<nobin.niasm@outlook.com> Comprehensive R Archive Network (CRAN) Nobin Chandra Paul, Anil Rai, Ankur Biswas, Tauqueer Ahmad and Prachi Misra Sahoo GPL (>= 2.0) 2023-04-24 application/tgz https://CRAN.R-project.org/package=SpPOP doi:10.32614/CRAN.package.SpPOP