SecDim: The Second Dimension of Spatial Association

Most of the current methods explore spatial association using observations at sample locations, which are defined as the first dimension of spatial association (FDA). The proposed concept of the second dimension of spatial association (SDA) aims to extract in-depth information about the geographical environment from locations outside sample locations for exploring spatial association.

Version:	2.2
Depends:	R (≥ 4.1.0)
Imports:	stats, utils, RcppArmadillo, methods
Suggests:	knitr, rmarkdown
Published:	2022-05-25
Author:	Yongze Song [aut, cre]
Maintainer:	Yongze Song <yongze.song at postgrad.curtin.edu.au>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	SecDim results

Documentation:

Reference manual:	SecDim.pdf
Vignettes:	'SecDim' Package for The Second Dimension of Spatial Association

Downloads:

Package source:	SecDim_2.2.tar.gz
Windows binaries:	r-devel: SecDim_2.2.zip, r-release: SecDim_2.2.zip, r-oldrel: SecDim_2.2.zip
macOS binaries:	r-release (arm64): SecDim_2.2.tgz, r-oldrel (arm64): SecDim_2.2.tgz, r-release (x86_64): SecDim_2.2.tgz, r-oldrel (x86_64): SecDim_2.2.tgz
Old sources:	SecDim archive

Reverse dependencies:

Reverse imports:

geosimilarity

Linking:

Please use the canonical form https://CRAN.R-project.org/package=SecDim to link to this page.