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@mikemahoney218

Michael Mahoney

mikemahoney218
Boston, MA

Mike Mahoney, Now in TreeD

I'm a PhD candidate in Colin Beier's lab at SUNY-ESF, working on machine learning for ecological outcomes, model interpretability, and landscape visualization. I also maintain a handful of R packages:

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Package What it does
spatialsample A tidymodels package for spatial resampling
waywiser Yardstick extensions for measuring spatial structure in model residuals
terrainr Transform geospatial data for rendering in Unity 3D (and download data from the USGS National Map)
unifir A unifying interface for calling Unity from R
heddlr Functionally compose R Markdown from repeated components
proceduralnames Generate human-readable random identifiers
plantr Download data from the USDA PLANTS API
mvdf A standardized approach to using R as a frontend for the Blender 3D rendering program

I'm also a contributor to plenty of other libraries across the R ecosystem, focusing on tools for spatial analytics and modeling.

1 sponsor has funded mikemahoney218’s work.

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Featured work

  1. mikemahoney218/quarto-arxiv

    Quarto template for arXiv preprints

    TeX 91
  2. ropensci/unifir

    A unifying interface for calling Unity from R

  3. ropensci/terrainr

    Get DEMs and orthoimagery from the USGS National Map, georeference your images and merge rasters, and visualize with Unity 3D

  4. tidymodels/spatialsample

    Create and summarize spatial resampling objects 🗺

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