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stars input
(x/y grid dimensions), alongside the existing
vector-geometry input, including a new raster_adjacency()
internal helper and dispatch in
genclust()/sfclust().chapa, a real NDWI2 vegetation-index raster
dataset from El Chaparrillo, Spain, and a new article vignette
demonstrating raster clustering
(vg13-ndwi-chaparrillo.Rmd).NA response values (e.g. raster
cells outside a study region) are now automatically excluded from
clustering via response / valid_ids, instead
of requiring the user to pre-filter their data.update() methods for sfclust
objects: niter continues MCMC sampling from where a
previous fit left off, and sample refits the full INLA
models for a specific stored sample without further sampling.spnames/fnames) so spatial dimension names no
longer need to match a fixed convention.plot_clusters_fitted()/fitted() gained
inv_link/aggregation options, returning cluster-level
(mean_cluster) and inverse-link
(mean_cluster_inv) summaries.sfclust() now
dispatches to sfclust.data.frame() (core interface) and
sfclust.stars() (spatial convenience wrapper), replacing
the previous single-path implementation.
data_all()/filter_df() replace the old
stnames-based long-format conversion.NULL fitted models and raster
inputs.fitted()/plot() no longer require INLA to
be installed when applied to an already-fitted sfclust
object (e.g. one loaded from a saved .rds); the
inverse-link transform for standard families (gaussian, binomial,
poisson) is now computed natively instead of via
INLA::inla.link.inv*().These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.