Package: SpPOP 0.1.0
Nobin Chandra Paul
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.
Authors:
SpPOP_0.1.0.tar.gz
SpPOP_0.1.0.tar.gz(r-4.5-noble)SpPOP_0.1.0.tar.gz(r-4.4-noble)
SpPOP_0.1.0.tgz(r-4.4-emscripten)SpPOP_0.1.0.tgz(r-4.3-emscripten)
SpPOP.pdf |SpPOP.html✨
SpPOP/json (API)
| # Install 'SpPOP' in R: |
| install.packages('SpPOP', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:7ea887eb15. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 04 2024 |
| R-4.5-linux | OK | Dec 04 2024 |
Exports:SpPOP_linear1SpPOP_linear2SpPOP_linear3SpPOP_linear4SpPOP_linear5SpPOP_nonlinear1SpPOP_nonlinear2SpPOP_nonlinear3SpPOP_nonlinear4SpPOP_nonlinear5
