Package: SpatialPOP 0.1.0

SpatialPOP: Generation of Spatial Data with Spatially Varying Model Parameter

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.

Authors:Nobin Chandra Paul

SpatialPOP_0.1.0.tar.gz
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SpatialPOP.pdf |SpatialPOP.html
SpatialPOP/json (API)

# Install 'SpatialPOP' in R:
install.packages('SpatialPOP', repos = c('https://nobinstat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 190 downloads 2 exports 7 dependencies

Last updated 3 years agofrom:c268de3e9f. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 22 2024
R-4.5-winNOTENov 22 2024
R-4.5-linuxNOTENov 22 2024
R-4.4-winNOTENov 22 2024
R-4.4-macNOTENov 22 2024
R-4.3-winNOTENov 22 2024
R-4.3-macNOTENov 22 2024

Exports:spatial_gridspatialPOP

Dependencies:askpasscurlMASSnumbersqpdfRcppsys

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

Rendered fromSpatialPOP.Rmdusingknitr::rmarkdownon Nov 22 2024.

Last update: 2022-04-01
Started: 2022-04-01