Package: oystermapR
Title: Predict and Map Oyster Growth Suitability from Environmental
        Data
Version: 1.6.0
Authors@R: 
    person("T", "Tucker", email = "tristantucker48@gmail.com",
           role = c("aut", "cre"),
           comment = c(ORCID = "0009-0008-5190-6423"))
Description: Predicts spatial suitability for oyster growth from environmental
    survey data using rank-reciprocal 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), batch
    multi-species comparison, and evidence-weighted scoring in which each
    variable's weight is its published rank multiplied by the measured
    reliability and realised spread of that layer, with the fraction of the
    species' evidence base the survey observed reported alongside the score
    rather than normalised away, and lineage-specific tolerance profiles for
    related populations, in which thinly sampled lineages borrow strength from
    relatives across a genetic distance matrix only where tolerance is shown to
    track relatedness, with inverse mapping of where each lineage is more likely
    to occur and which source population suits a site.
License: GPL (>= 3)
URL: https://github.com/trissyboats/oystermapR
BugReports: https://github.com/trissyboats/oystermapR/issues
Encoding: UTF-8
Language: en-US
VignetteBuilder: knitr
RoxygenNote: 7.3.3
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)
Depends: R (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-10-12 18:59:21 UTC; home
Author: T Tucker [aut, cre] (ORCID: <https://orcid.org/0009-0008-5190-6423>)
Maintainer: T Tucker <tristantucker48@gmail.com>
Repository: CRAN
Date/Publication: 2026-10-13 10:40:02 UTC
Built: R 4.5.2; ; 2026-10-13 13:16:07 UTC; unix
