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 |
| DOI: |
10.32614/CRAN.package.SpPOP |
| 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:
Downloads:
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