https://trissyboats.r-universe.devRecent package updates in trissyboatsR-universehttps://github.com/trissyboats.pnghttps://trissyboats.r-universe.devFri, 15 May 2026 21:32:10 GMTtristantucker48@gmail.com (T Tucker)Predicts spatial suitability for oyster growth from environmental survey data using Analytic Hierarchy Process (AHP) weighted scoring. Users supply sensor data from Acoustic Doppler Current Profilers (ADCP), Conductivity-Temperature-Depth (CTD) sensors, bathymetric sonar, and sidescan sonar, specify a target species, and receive per-location suitability scores, a 'GeoTIFF' heatmap for 'QGIS', contour lines, and a formatted PDF or HTML report. Supports fourteen species across global aquaculture regions, including Ostrea edulis, Magallana gigas, Crassostrea virginica, Crassostrea hongkongensis, and ten further species; see list_species(). Includes season-aware scoring, tidal height correction, Bayesian tolerance parameter updating from field observations, spatial block cross-validation (Roberts et al., 2017, <doi:10.1111/ecog.02881>), permutation variable importance, wave exposure and sediment stability modules, Harmful Algal Bloom (HAB) risk and anthropogenic disturbance scoring with optional live International Council for the Exploration of the Sea (ICES) data integration, hybrid larval dispersal connectivity scoring (union-find Gaussian kernel plus optional 'OpenDrift' or Finite Volume Community Ocean Model ('FVCOM') connectivity matrix), and batch multi-species comparison.https://github.com/r-universe/cran/actions/runs/25943499442Fri, 15 May 2026 21:32:10 GMToystermapR1.4.0successhttps://cran.r-universe.devhttps://github.com/cran/oystermapRexample-bay-survey.Rmdexample-bay-survey.htmlComplete survey workflow: Example Bay2026-05-15 21:32:102026-05-15 21:32:10tristantucker48@gmail.com (T Tucker)Predicts spatial suitability for oyster growth from environmental survey data using Analytic Hierarchy Process (AHP) weighted scoring. Users supply sensor data (ADCP, CTD, bathymetric sonar, sidescan), specify a target species, and receive per-location suitability scores, a GeoTIFF heatmap for QGIS, contour lines, and a formatted PDF or HTML report. Supported species: Ostrea edulis (European Flat Oyster), Magallana gigas (Pacific Oyster), Crassostrea angulata (Portuguese Oyster), Ostrea stentina (Denticulate Flat Oyster), and Ostrea lurida (Olympia Oyster). Includes season-aware scoring, tidal height correction, Bayesian tolerance parameter updating from field observations, spatial block cross-validation (Roberts et al. 2017), permutation variable importance, wave exposure and sediment stability modules, HAB risk and anthropogenic disturbance scoring with optional live ICES data integration, hybrid larval dispersal connectivity scoring (union-find Gaussian kernel plus optional OpenDrift/FVCOM connectivity matrix), and batch multi-species comparison.https://github.com/r-universe/trissyboats/actions/runs/25956841836Fri, 01 May 2026 11:15:13 GMToystermapR1.0.0successhttps://trissyboats.r-universe.devhttps://github.com/trissyboats/oystermapr