Package: SecDim 3.2.9000

Wenbo Lv

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, cph], Wenbo Lv [aut, cre]

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SecDim.pdf |SecDim.html
SecDim/json (API)

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

Bug tracker:https://github.com/ausgis/secdim/issues

Pkgdown site:https://ausgis.github.io

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.

On CRAN:

spatial-associationspatial-predictions

2.70 score 1 stars 2 scripts 37 downloads 6 exports 5 dependencies

Last updated 6 months agofrom:d60bfafae4. Checks:6 OK, 2 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 27 2025
R-4.5-winNOTEJan 27 2025
R-4.5-macOKJan 27 2025
R-4.5-linuxNOTEJan 27 2025
R-4.4-winOKJan 27 2025
R-4.4-macOKJan 27 2025
R-4.3-winOKJan 27 2025
R-4.3-macOKJan 27 2025

Exports:gsdvarrmvoutliersdapredvarsselectvarlmselectvarsdavif

Dependencies:geospherelatticeRcppRcppArmadillosp

The Second Dimension of Spatial Association

Rendered fromSecDim.Rmdusingknitr::rmarkdownon Jan 27 2025.

Last update: 2024-08-30
Started: 2024-08-30