index.qmd

---
title: "Mike Mahoney"
image: avatar.jpg
about:
  template: trestles
  links:
    - text: LinkedIn
      url: "https://linkedin.com/in/mikemahoney218"
    - text: Twitter
      icon: twitter
      url: "https://twitter.com/mikemahoney218"
    - text: Mastodon
      icon: mastodon
      url: "https://fosstodon.org/@MikeMahoney218"
    - text: GitHub
      icon: github
      url: "https://github.com/mikemahoney218"
    - text: Email
      url: "mailto:mike.mahoney.218+site@gmail.com"
    - text: Blog
      url: "blog.html"
    - text: CV
      url: "cv.pdf"
comments: false
---
::: {.column-page}

## Bio

I’m a PhD candidate at SUNY-ESF, working on new tools to make complex, 
broad-scale systems easier for humans to understand. 
Right now, that means I split my time between predictive modeling
(to [monitor forest carbon sequestration across New York State](https://cafri-ny.org/new-york-forest-carbon-assessment/), 
[track the development of early-successional forests](https://doi.org/10.1080/01431161.2022.2155086), 
and more) and visualization (including
[using game engines as a GIS](https://www.researchgate.net/profile/Richard-Smardon/publication/355972101_VRSC_2021_Conference_Proceedings_VRSC_2021_Conference_Proceedings/links/6186bf0e07be5f31b74fa3c1/VRSC-2021-Conference-Proceedings-VRSC-2021-Conference-Proceedings.pdf#page=74) and
[making it easier to make reproducible VR environments for research](https://doi.org/10.21105/joss.04388)).
By training I'm either an ecologist (specializing in landscape and 
translational ecology) or environmental scientist; professionally, I've worked
as a data analyst, software engineer, and chicken farmer.

On this site I keep a list of [my publications](papers), [presentations](talks), 
and [my CV](cv.pdf), as well as a [technical blog](blog.html).

<p></p>

## Selected Projects

#### Publications

**Filtering ground noise from LiDAR returns produces inferior models of forest aboveground biomass in heterogenous landscapes.** Mahoney, MJ, Johnson, LK, Bevilacqua, E, and Beier, CM. 2022. GIScience & Remote Sensing 59(1): 1266-1280. [https://doi.org/10.1080/15481603.2022.2103069](https://doi.org/10.1080/15481603.2022.2103069)

**Classification and mapping of low-statured shrubland cover types in post-agricultural landscapes of the US Northeast.** Mahoney, MJ, Johnson, LK, Guinan, AZ, and Beier, CM. 2022. International Journal of Remote Sensing 43(19-24): 7117-7138. [https://doi.org/10.1080/01431161.2022.2155086](https://doi.org/10.1080/01431161.2022.2155086)

**unifir: A Unifying API for Interacting with Unity from R.** Mahoney, MJ, Beier, CM, and Ackerman, AC. 2022. Journal of Open Source Software 7(73): 4388. [https://doi.org/10.21105/joss.04388](https://doi.org/10.21105/joss.04388)

**terrainr: An R package for creating immersive virtual environments.** Mahoney, MJ, Beier, CM, and Ackerman, AC. 2022. Journal of Open Source Software, 7(69): 4060. [https://doi.org/10.21105/joss.04060](https://doi.org/10.21105/joss.04060)

#### R Packages

**[waywiser](https://mikemahoney218.github.io/waywiser/)** | Ergonomic Methods for Assessing Spatial Models | 2023  
**[spatialsample](spatialsample.tidymodels.org/)** | Spatial Resampling Infrastructure | 2022  
**[unifir](https://github.com/mikemahoney218/unifir)** | A Unifying API for Working with Unity in R | 2022  
**[terrainr](https://github.com/ropensci/terrainr)** | Retrieve Data from the USGS National Map and Transform it for 3D Landscape Visualizations | 2021  

:::

<link rel="me" href="https://fosstodon.org/@MikeMahoney218">