Version 0.2.2

bssdm 0.2.2

What's Changed (TL;DR)

• Add extrapolation plot methods; bundle dataset; update README by @johnbaums in #7

Full Changelog: 0.2.1...0.2.2

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New features

• Structured result classes
  mess() and exdet() now return MessResult and ExdetResult objects respectively. These are still plain lists under the hood, so existing $-based access (e.g. result$mess, result$exdet) continues to work without change. The S3 class enables the new plot methods below.

• Plot methods for extrapolation outputs
  New plot() S3 methods for both result types (requires tmap, listed under Suggests):

  • plot(mess_result) — MESS surface with diverging colour scale (red = novel, blue = similar); which = "mod" or "mos" for categorical most-dissimilar / most-similar covariate maps with donut chart insets.
  • plot(exdet_result) — ExDet map distinguishing Type 1 novelty (univariate, red), Type 2 novelty (multivariate, blue), and analog conditions (yellow) as separate layers; which = "mic1" or "mic2" for most-influential-covariate maps.
  • Examples in ?mess and ?exdet have been simplified to use these methods.

• New bundled dataset
  hawkweed — cleaned global occurrences of Hieracium pilosella from GBIF (doi:10.15468/dl.q6q6fk), processed with CoordinateCleaner. Used in package examples.

Documentation

• README rewritten from a placeholder stub to a full worked example covering climate data download via geodata, the hawkweed dataset, Range bagging and Climatch SDM workflows, and MESS / ExDet novelty assessment — with rendered figures throughout.

Minor

• .gitignore updated to exclude .DS_Store, README.html, and Rplots.pdf.
• Stale .DS_Store removed from tests/testthat/test_inputs/.