summary.climniche_fit() reference-weighted by
default and aligned the default Pareto filter with the selected exposure
direction.squared_niche_distance_change as the primary
climatic contribution field while retaining
niche_potential_change as an exact compatibility
alias.exposure_direction distinguishes larger positive Niche
Distance Shift from lower Climatic Displacement.pareto_depth_score as the primary Pareto depth
field while retaining relative_priority as an exact
compatibility alias.fit_climniche_reference() and
project_climniche() to estimate the current climatic niche
reference once and reuse it across projections.fit_climniche_series() for ordered future
periods, climate models and scenarios. Series share one effective
descriptor tolerance. Spatial references are fitted independently of
future missing cells, while projections use common finite cell
support.fit_climniche() and the raster workflows. The preprocessing
removes near-zero variance variables and highly correlated variables
before metric fitting.cnfa objects
without requiring the CENFA package at installation time.fit_climniche() formula documentation for
clearer pkgdown rendering.plot_climniche_summary_figure() and
climniche_summary_figure_data().radial_direction and boundary_status
descriptors to fitted objects, cell tables and raster workflows.plot_climniche_maps() and map controls for colour
limits, palettes, legends, plotting extent, study-region boundaries and
longitude-latitude labels.occupied_threshold removes low reference weights while
preserving the original continuous values above the threshold.climate_reconfiguration and
niche_boundary_exceedance.composition_change and
outside_niche_exceedance as compatibility aliases for
existing code.
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