Package: SecDim 3.2

Yongze Song

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), as described in Yongze Song (2022) <doi:10.1016/j.jag.2022.102834>, aims to extract in-depth information about the geographical environment from locations outside sample locations for exploring spatial association.

Authors:Yongze Song [aut, cre]

SecDim_3.2.tar.gz
SecDim_3.2.tar.gz(r-4.5-noble)SecDim_3.2.tar.gz(r-4.4-noble)
SecDim_3.2.tgz(r-4.4-emscripten)SecDim_3.2.tgz(r-4.3-emscripten)
SecDim.pdf |SecDim.html✨
SecDim/json (API)

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

Peer review:

Datasets:
  • grids - Spatial grid dataset.
  • obs - Spatial datasets of trace elements.
  • sample_vars_fda - Spatial datasets of the first dimension variables of trace elements.
  • sample_vars_sda - Spatial datasets of the second dimension variables of trace elements.

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

6 exports 0.00 score 5 dependencies 8 scripts 202 downloads

Last updated 1 years agofrom:26e688b050. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 04 2024
R-4.5-linuxOKSep 04 2024

Exports:gsdvarrmvoutliersdapredvarsselectvarlmselectvarsdavif

Dependencies:geospherelatticeRcppRcppArmadillosp

SecDim Package for The Second Dimension of Spatial Association

Yongze Song

Rendered fromSecDim.Rmdusingknitr::rmarkdownon Sep 04 2024.

Last update: 2022-05-25
Started: 2022-05-25