NEWS.md
In landgraph: Graphs and Covariance for Landscape Genetics

landgraph 0.0.3

Default to the Gower diagonal for grouped genetic covariance. This preserves site centering and avoids mixing covariance and within-population variance scales. Explicit within and legacy auto choices remain available.

Record covariance diagonal construction and centering metadata without changing numerical values. Distinguish pooled allele-frequency centering with unequal sample sizes and centering before diagonal replacement.
Clarify rare-variant weighting, unequal sampling variance, and the use of Gower covariances for Wishart models. FST ratio estimates are not Wishart responses.

Initial release. Shared landscape-genetic primitives extracted from terradish so that landscape-genetic network methods stand on a common, dependency-light base.
Graph: deme_graph() builds a lightweight deme/landscape graph (vertex coordinates + undirected edge list) from coordinates, with Delaunay, k-nearest- neighbour, or lattice (rook/queen) adjacency. The result is class c("landgraph", "terradish_graph").
Genetic covariance / distance: cov_from_biallelic(), cov_from_genetic_data(), fst_from_biallelic(), dist_from_cov(), dist_from_biallelic().
Directional edge covariates: edge_gradient() (gradient of a scalar potential) and edge_flow() (projection of a vector flow field, carrying a curl component).
cov_from_biallelic() applies the per-locus pooled frequency correctly per column (fixes a column-major recycling error that affected multi-deme covariances).