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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 five-band 'GeoTIFF' heatmap for 'QGIS', contour lines, and a formatted PDF or HTML report. Supports seventeen species across global aquaculture regions, including Ostrea edulis, Magallana gigas, Crassostrea virginica, Crassostrea hongkongensis, and thirteen further species; see list_species(). Includes ocean acidification scoring via in-house aragonite saturation state (Omega_arag) calculation using Lueker et al. (2000) <doi:10.1016/S0304-4203(00)00022-0> and Mucci (1983) <doi:10.1357/002224083788520153> equilibrium constants (no external dependencies), variable impact diagnostics (variable_impact()), fine-scale habitat area analysis for restoration reporting in m2 with contiguous patch identification (area_summary()), tolerance curve visualisation (plot_tolerance()), 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.
| Version: | 1.5.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | dplyr (≥ 1.0.0), terra (≥ 1.7.18), sf (≥ 1.0.0), rlang (≥ 1.0.0), cli (≥ 3.0.0), stats, utils |
| Suggests: | ggplot2 (≥ 3.4.0), testthat (≥ 3.0.0), knitr, rmarkdown (≥ 2.20), tinytex, httr (≥ 1.4.0), jsonlite (≥ 1.8.0), ncdf4 (≥ 1.19), gstat (≥ 2.1.0), sp (≥ 1.6.0), lubridate (≥ 1.9.0), suncalc (≥ 0.5.0), oce (≥ 1.7.0) |
| Published: | 2026-08-31 |
| DOI: | 10.32614/CRAN.package.oystermapR |
| Author: | T Tucker |
| Maintainer: | T Tucker <tristantucker48 at gmail.com> |
| BugReports: | https://github.com/trissyboats/oystermapR/issues |
| License: | GPL (≥ 3) |
| URL: | https://github.com/trissyboats/oystermapR |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README, NEWS |
| CRAN checks: | oystermapR results |
| Reference manual: | oystermapR.html , oystermapR.pdf |
| Vignettes: |
Complete survey workflow: Example Bay (source, R code) |
| Package source: | oystermapR_1.5.0.tar.gz |
| Windows binaries: | r-devel: oystermapR_1.4.0.zip, r-release: oystermapR_1.4.0.zip, r-oldrel: oystermapR_1.4.0.zip |
| macOS binaries: | r-release (arm64): oystermapR_1.4.0.tgz, r-oldrel (arm64): oystermapR_1.4.0.tgz, r-release (x86_64): oystermapR_1.4.0.tgz, r-oldrel (x86_64): oystermapR_1.5.0.tgz |
| Old sources: | oystermapR archive |
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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.
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