adjoin constructs sparse adjacency matrices from spatial coordinates, feature measurements, class labels, and temporal indices.
Documentation · Getting started · Spatial neighbors · API reference · Changelog
Installation
Install the released version from CRAN:
install.packages("adjoin")Or the development version from GitHub:
# install.packages("remotes")
remotes::install_github("bbuchsbaum/adjoin")Quick start
Build a spatial adjacency matrix from coordinates with spatial_adjacency():
library(adjoin)
set.seed(1)
coord_mat <- matrix(runif(20), nrow = 10, ncol = 2)
spatial_mat <- spatial_adjacency(coord_mat, nnk = 5, sigma = 1)
spatial_mat
#> 10 x 10 sparse Matrix of class "dgCMatrix"
#>
#> [1,] 0.2 0.2 0.1 . 0.2 . . . 0.1 0.1
#> [2,] 0.2 0.2 0.1 0.1 . . . . 0.2 .
#> [3,] 0.1 0.1 0.2 0.1 0.1 0.2 0.2 0.2 0.2 0.1
#> [4,] . 0.1 0.1 0.2 . 0.2 0.2 . 0.2 .
#> [5,] 0.2 . 0.1 . 0.2 . . 0.2 . 0.2
#> [6,] . . 0.2 0.2 . 0.2 0.2 0.1 0.2 .
#> [7,] . . 0.2 0.2 . 0.2 0.2 0.2 . .
#> [8,] . . 0.2 . 0.2 0.1 0.2 0.2 . 0.1
#> [9,] 0.1 0.2 0.2 0.2 . 0.2 . . 0.2 .
#> [10,] 0.1 . 0.1 . 0.2 . . 0.1 . 0.2Related entry points include weighted_knn() / graph_weights() for feature-space neighbor graphs, weighted_spatial_adjacency() for space–feature blends, and class_graph() for label-aware neighbor structure. See the vignettes linked above for worked examples.
Albers theme
This package uses the albersdown theme. Existing vignette theme hooks are replaced so albers.css and local albers.js render consistently on CRAN and GitHub Pages. The defaults are configured via params$family and params$preset (family = ‘teal’, preset = ‘homage’). The pkgdown site uses template: { package: albersdown } together with generated pkgdown/extra.css and pkgdown/extra.js so the theme is linked and activated on site pages.