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index.qmd
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---
title: "Mike Mahoney"
image: avatar.jpg
about:
template: trestles
links:
- text: LinkedIn
url: "https://linkedin.com/in/mikemahoney218"
- text: 🦋 Bluesky
url: "https://bsky.app/profile/mikemahoney218.com"
- text: Mastodon
icon: mastodon
url: "https://fosstodon.org/@MikeMahoney218"
- text: GitHub
icon: github
url: "https://github.com/mikemahoney218"
- text: Email
url: "mailto:[email protected]"
- text: Blog
url: "blog.html"
- text: CV
url: "cv.pdf"
comments: false
---
::: {.column-page}
## Bio
I’m an environmental technologist, working at the US Geological Survey on improving how we deliver water data to the public. In prior roles, 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
#### R Packages
**[rsi](https://github.com/Permian-Global-Research/rsi)** | Efficiently Retrieve and Process Satellite Imagery | 2024
**[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">