spatial() is a unified entry point for the package's five canonical
spatial keywords (spatial_scalar, spatial_unique, spatial_indep,
spatial_latent, spatial_dep). It accepts an lme4-bar formula on
the first argument and dispatches to the appropriate canonical
keyword based on the LHS shape and the optional mode = ... argument.
The five canonical keywords stay first-class — spatial() is an
additive alias matching the lme4 / brms / drmTMB convention.
Arguments
- formula
An lme4-bar formula. The bar's RHS is the spatial coordinate placeholder (typically
coordsorsite); the LHS determines the covariance structure (combined withmode, see Dispatch rules). For backward compatibility,0 + trait | coordsandcoords | trait(nomode) also work as deprecated aliases ofspatial_unique.- mesh
A
fmeshermesh constructed viamake_mesh(). Canonical. Required for the new dispatch path; optional for the legacy bare-formula form (where the mesh is passed at the top level ofgllvmTMB()).- coords
Optional, retained as a hint of which coordinate columns correspond to the spatial grouping. The mesh actually used is whatever is passed to the
meshargument ofgllvmTMB()or this function.- mode
One of
"scalar"/"diag"/"indep"/"latent"/"dep". Optional when LHS is1(defaults silently to"scalar"). Mandatory when LHS is0 + trait.- d
Latent rank for
mode = "latent". Default 1.
Details
This is the spatial parallel of the phylo() mode-dispatch wrapper:
same dispatch logic, different engine slots (SPDE Matern instead of
Hadfield A^-1).
Dispatch rules
| Form | Mode default | Rewrites to |
spatial(1 \| site) | "scalar" | spatial_scalar(0 + trait \| coords) |
spatial(0 + trait \| coords, mode = "diag") | (mandatory) | spatial_unique(0 + trait \| coords) |
spatial(0 + trait \| coords, mode = "indep") | (mandatory) | spatial_indep(0 + trait \| coords) |
spatial(0 + trait \| coords, mode = "latent", d = K) | (mandatory) | spatial_latent(0 + trait \| coords, d = K) |
spatial(0 + trait \| coords, mode = "dep") | (mandatory) | spatial_dep(0 + trait \| coords) |
When the LHS expands to a single column (1, intercept-only), mode
is degenerate: it defaults silently to "scalar", and explicit
mode = "scalar" is accepted (no warning). When the LHS is
0 + trait, mode is mandatory — choosing between "diag" /
"indep" / "latent" / "dep" is a meaningful decision (per-trait
marginal vs reduced-rank decomposition vs full unstructured) and the
parser refuses to silently default.
Backward compatibility
Legacy bare-formula calls spatial(0 + trait | coords) and
spatial(coords | trait) (no mode argument) continue to work as
deprecated aliases of spatial_unique(0 + trait | coords) (with an
additional orientation-flip lifecycle warning for the pre-0.1.4
orientation). The legacy form rewrites to spde() internally,
picking up the SPDE mesh from the top-level mesh = argument to
gllvmTMB().
Augmented LHS (Stage 3, not yet shipped)
Augmented LHS forms — 1 + x (intercept + slope), 0 + trait + (0 + trait):x
(per-trait intercepts + per-trait slopes on covariate x), x || coords
(uncorrelated) — are reserved for Design 07 Stage 3 engine work. The
parser currently raises an error pointing at this status.
Cross-package coexistence
drmTMB also exposes spatial(1 | site, mesh = mesh) with the same
SPDE Matern internal path. Both packages share the same calling
convention; user muscle memory transfers.
See also
spatial_scalar(), spatial_unique(), spatial_indep(),
spatial_latent(), spatial_dep(), phylo() (phylogenetic
parallel), spde() (deeper deprecated alias).
Examples
if (FALSE) { # \dontrun{
library(fmesher)
# Single shared spatial-field variance (= spatial_scalar)
fit_s <- gllvmTMB(value ~ 0 + trait + spatial(1 | site, mesh = mesh),
data = df)
# Per-trait independent fields on shared mesh (= spatial_unique)
fit_u <- gllvmTMB(value ~ 0 + trait +
spatial(0 + trait | coords, mode = "diag",
mesh = mesh),
data = df)
# Reduced-rank shared spatial latent factors (= spatial_latent)
fit_l <- gllvmTMB(value ~ 0 + trait +
spatial(0 + trait | coords, mode = "latent",
d = 2, mesh = mesh),
data = df)
# Backward-compat: legacy bare-formula form
fit_legacy <- gllvmTMB(value ~ 0 + trait + spatial(0 + trait | coords),
data = df, mesh = mesh)
} # }
