Package: SpPOP
Type: Package
Title: Generation of Spatial Population under Different Levels of
        Relationships among Variables
Version: 0.1.0
Author: Nobin Chandra Paul, Anil Rai, Ankur Biswas, Tauqueer Ahmad and Prachi Misra Sahoo
Maintainer: Nobin Chandra Paul<nobin.niasm@outlook.com>
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.
Imports: stats, qpdf, numbers
License: GPL (>= 2.0)
Encoding: UTF-8
RoxygenNote: 7.2.3
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2023-04-24 07:04:05 UTC; nobin ch paul
Repository: CRAN
Date/Publication: 2023-04-24 10:00:10 UTC
Built: R 4.6.0; ; 2026-04-27 12:58:03 UTC; unix
