Research – scurrilous rag.

This R-based project aims to make insect outbreak histories producible using tree-ring data. While still in its early stages (v. 0.2), it currently allows for fast outbreak history reconstructions using outputs from the popular dplR package. All that’s needed is tree-level host data and a nonhost chronology. Sample data are available through Dropbox.

If you have any feedback on this version or you’re a researcher who wants to try these methods, please check my contact information at the end!

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Science

Preparing dendrochronological datasets in R

2018-08-082018-10-11 t. michael

In 2017 and 2018, I worked in a forestry research laboratory in Washington State. While I worked primarily with R and specialty software like CDendro, the managers I worked with had little-to-no familiarity with my methods. I wrote this report for them as a means to explain my methods in R and create a pipeline that can be reused across every dendrochronological dataset. I’m sharing this here as a means to preserve that pipeline for future analyses.

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Science, Stories

depression, school, and life : exploratory data analysis with personal data

2018-06-082018-10-09 t. michael

background

I started this as a simple data-exploration exercise, and as a giddy excuse to explore a dataset relevant to my life — not about trees, climate, insects or fire: but a personal story. In doing so, I felt it necessary to provide an introduction, which got a bit out of hand:

I graduated with a BSc. in Physical Geography from Texas State University in 2012. It took me 5 ½ years to get that degree — partly a mix of generational malaise, partly depression, partly uncertainty about my future.

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