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SecDim  

The Second Dimension of Spatial Association
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]
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 19 Apr. 2025.
Previous versions and publish date:
1.3 (2022-05-02 13:30), 2.2 (2022-05-25 10:20), 3.2 (2023-05-20 15:20)
Other packages that cited SecDim R package
View SecDim citation profile
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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