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.
Continue reading “Preparing dendrochronological datasets in R”