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SecDim
View on CRAN: Click
here
Download and install SecDim package within the R console
Install from CRAN:
install.packages("SecDim")
Install from Github:
library("remotes")
install_github("cran/SecDim")
Install by package version:
library("remotes")
install_version("SecDim", "3.2")
Attach the package and use:
library("SecDim")
Maintained by
Yongze Song
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-02
Latest Update: 2023-05-20
Description:
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),
as described in Yongze Song (2022)
, aims to extract
in-depth information about the geographical environment from
locations outside sample locations for exploring spatial
association.
How to cite:
Yongze Song (2022). SecDim: The Second Dimension of Spatial Association. R package version 3.2, https://cran.r-project.org/web/packages/SecDim. Accessed 03 Dec. 2024.
Previous versions and publish date:
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Other R packages that SecDim depends,
imports, suggests or enhances
Complete documentation for SecDim
Functions, R codes and Examples using
the SecDim R package
Some associated functions: obs . rmvoutlier . sample_vars_fda . sample_vars_sda . sdapredvars . selectvarlm . selectvarsda . vif .
Some associated R codes: data.R . rmvoutlier.R . sdapredvars.R . selectvarlm.R . selectvarsda.R . vif.R . Full SecDim package functions and examples
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