Other packages > Find by keyword >

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]
All associated links for this package
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 05 Mar. 2026.
Previous versions and publish date:
No previous versions
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
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

pinp  
'pinp' is not 'PNAS'
A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the National Academy of Scie ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA