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SpatialPOP  

Generation of Spatial Data with Spatially Varying Model Parameter
View on CRAN: Click here


Download and install SpatialPOP package within the R console
Install from CRAN:
install.packages("SpatialPOP")

Install from Github:
library("remotes")
install_github("cran/SpatialPOP")

Install by package version:
library("remotes")
install_version("SpatialPOP", "0.1.0")



Attach the package and use:
library("SpatialPOP")
Maintained by
Nobin Chandra Paul
[Scholar Profile | Author Map]
First Published: 2022-04-01
Latest Update: 2022-04-01
Description:
A spatial population can be generated based on spatially varying regression model under the assumption that observations are collected from a uniform two-dimensional grid consist of (m * m) lattice points with unit distance between any two neighbouring points. For method details see Chao, Liu., Chuanhua, Wei. and Yunan, Su. (2018).<doi:10.1080/10485252.2018.1499907>.This spatially generated data can be used to test different issues related to the statistical analysis of spatial data. This generated spatial data can be utilized in geographically weighted regression analysis for studying the spatially varying relationships among the variables.
How to cite:
Nobin Chandra Paul (2022). SpatialPOP: Generation of Spatial Data with Spatially Varying Model Parameter. R package version 0.1.0, https://cran.r-project.org/web/packages/SpatialPOP. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Other packages that cited SpatialPOP R package
View SpatialPOP citation profile
Other R packages that SpatialPOP depends, imports, suggests or enhances
Complete documentation for SpatialPOP
Functions, R codes and Examples using the SpatialPOP R package
Some associated functions: spatialPOP . spatial_grid . 
Some associated R codes: spatial_POP.R . spatial_grid.R .  Full SpatialPOP package functions and examples
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