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*_gc_k23 / *_P_gc).
spdep::knearneigh() switches to a kd-tree search when the
optional dbscan package is installed, and the two searches break ties at
the k-th neighbour distance differently. On gridded data such ties are
common, so the neighbour sets (and hence the geocomplexity values)
depended on the machine; this made the reference tests fail on some CRAN
check flavours. The geocomplexity neighbours now always use spdep’s
brute-force search, whose ties go to the lower row index, which is also
what the paper’s results were computed with. Data without distance ties
(for example the bio_grid case study) are unaffected.use_kd_tree argument of knearneigh()).gcf_field(), with step
functions gcf_psi() (11 spatial-pattern operators over
buffer radii), gcf_zx() (buffer-wise neighbourhood
quantiles) and gcf_reduce() (functional reduction to the
X/P/D candidate variables).gcf_select() (random forest
impurity importance with spatial-block stability resampling and group
voting) and gcf_blocks(). gcf_select() seeds
the random number generator only when seed is supplied
(seed = 1 reproduces the paper) and restores the caller’s
generator state on exit.sim_grid (paper simulation, 900 grid cells)
and bio_grid (south-western Australia plant species
richness, 6229 grid cells).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.