CRAN/E | SpatialPOP

SpatialPOP

Generation of Spatial Data with Spatially Varying Model Parameter

Installation

About

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.

Key Metrics

Version 0.1.0
R ≥ 2.10
Published 2022-04-01 762 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks SpatialPOP results

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Maintainer

Maintainer

Nobin Chandra Pau

ncp375@gmail.com

Authors

Nobin Chandra Paul

Material

Reference manual
Package source

Vignettes

SpatialPOP: package for generation of spatial data along with spatial coordinates and spatially varying model parameters

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Depends

R ≥ 2.10

Imports

base
MASS
stats
qpdf
numbers

Suggests

knitr
rmarkdown
testthat ≥ 3.0.0