Introduction to SecDim package | Cross validation
Package: SecDim 3.2.9000
Wenbo Lyu
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:
SecDim_3.2.9000.tar.gz
SecDim_3.2.9000.zip(r-4.7)SecDim_3.2.9000.zip(r-4.6)SecDim_3.2.9000.zip(r-4.5)
SecDim_3.2.9000.tgz(r-4.6-any)SecDim_3.2.9000.tgz(r-4.5-any)
SecDim_3.2.9000.tar.gz(r-4.7-any)SecDim_3.2.9000.tar.gz(r-4.6-any)
SecDim_3.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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/docs 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.
spatial-associationspatial-predictions
Last updated from:72241b11e3. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 116 | ||
| source / vignettes | OK | 155 | ||
| linux-release-x86_64 | OK | 102 | ||
| macos-release-arm64 | OK | 74 | ||
| macos-oldrel-arm64 | OK | 75 | ||
| windows-devel | OK | 76 | ||
| windows-release | OK | 69 | ||
| windows-oldrel | OK | 74 | ||
| wasm-release | OK | 130 |
Exports:gsdvarrmvoutliersdapredvarsselectvarlmselectvarsdavif
Dependencies:geosphereRcppRcppArmadillo
