SpPOP: Generation of Spatial Population under Different Levels of Relationships among Variables

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.

Version: 0.1.0
Imports: stats, qpdf, numbers
Suggests: rmarkdown, knitr
Published: 2023-04-24
Author: Nobin Chandra Paul, Anil Rai, Ankur Biswas, Tauqueer Ahmad and Prachi Misra Sahoo
Maintainer: Nobin Chandra Paul <nobin.niasm at outlook.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2.0)]
NeedsCompilation: no
CRAN checks: SpPOP results

Documentation:

Reference manual: SpPOP.pdf
Vignettes: SpPOP: Package for Generation of Spatial Population under Different Levels of Relationships among Variables

Downloads:

Package source: SpPOP_0.1.0.tar.gz
Windows binaries: r-devel: SpPOP_0.1.0.zip, r-release: SpPOP_0.1.0.zip, r-oldrel: SpPOP_0.1.0.zip
macOS binaries: r-release (arm64): SpPOP_0.1.0.tgz, r-oldrel (arm64): SpPOP_0.1.0.tgz, r-release (x86_64): SpPOP_0.1.0.tgz

Linking:

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