Least-Cost Path, Corridor (LCC), FETE, Randomized Shortest Paths, circuit-theory connectivity, multi-criteria cost surfaces, sensitivity analysis and route validation (PDI + buffer overlap) for archaeological movement modelling.
Anisotropic cost-surface analysis using scipy.sparse. Provides Processing algorithms (Slope Cost Surface, Friction Cost Surface, Composite friction (multi-criteria), Accessibility / cost catchment, LCP, Stochastic LCP, Corridor, FETE, Randomized Shortest Paths, Circuit current density / pinch points, Connectivity barriers / restoration, Sensitivity Analysis, PDI Validation, Buffer Validation, Resample DEM, DEM error realisation) with ten cost functions (Tobler on/off-path, Herzog, Naismith, Llobera & Sluckin, Irmischer & Clarke, Minetti, load-aware Pandolf, and Wheeled / Pack animal critical-slope presets), plus an interactive map-click tool for point-to-point LCP. RSP adds a theta parameter spanning the least-cost-path and circuit-theory extremes; circuit theory adds current density, pinch points and barrier/restoration maps; the multi-criteria builder combines several penalty rasters into one composite friction; the stochastic DEM-error model uses true variogram (FFT spectral) random fields; accessibility produces cost catchments and isochrones. No external pip dependencies required (uses numpy/scipy bundled with QGIS). Released under a split licence: reusable core MIT; QGIS plugin GPLv3.
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