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:
SecDim_3.2.9000.tar.gz
SecDim_3.2.9000.zip(r-4.5)SecDim_3.2.9000.zip(r-4.4)SecDim_3.2.9000.zip(r-4.3)
SecDim_3.2.9000.tgz(r-4.4-any)SecDim_3.2.9000.tgz(r-4.3-any)
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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
- 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 20 days agofrom:d60bfafae4. Checks:OK: 7. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 30 2024 |
| R-4.5-win | OK | Aug 30 2024 |
| R-4.5-linux | OK | Aug 30 2024 |
| R-4.4-win | OK | Aug 30 2024 |
| R-4.4-mac | OK | Aug 30 2024 |
| R-4.3-win | OK | Aug 30 2024 |
| R-4.3-mac | OK | Aug 30 2024 |
Exports:gsdvarrmvoutliersdapredvarsselectvarlmselectvarsdavif
Dependencies:geospherelatticeRcppRcppArmadillosp
