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Hi there šŸ‘‹

I am an environmental scientist, an sustainability professional, and a huge data geek. I started learning to program in R in 2015, and have some additional experience in UNIX/LINUX, bash/zsh, SQL, and Python (minimal but increasing!).

  • šŸ”­ Iā€™m currently working on analyzing data to examine the effect of changing water and nitrogen availability on dry ecosystems.
  • šŸŒ± Iā€™m learning more about SQL, Docker, and Python by the minute.
  • šŸ‘Æ Iā€™m looking to collaborate on research related to ecosystem structure-function or to develop better open science/data practices.
  • šŸ’¬ Ask me about some of my research, the importance of sandwiches to my mental well-being, or why diet Coke is clearly superior.
  • šŸ“« How to reach me: Twitter via @cwbeltz!
  • šŸ˜„ Pronouns: he/him/his
  • āš” Fun fact: I hiked the southern thousand miles of the Appalachian Trail.

Some past projects:

  • šŸŒ³ sagebrush - a research publication examing the ability to use nitrogen fertilization in rangeland mitigation (code)
  • šŸ“œ mapping - a simple script for creating a locus map with site locations as a PDF or PNG.
  • šŸ“Š climate normals - a RMarkdown file for teaching students to calculate their own climate normals and creating a Walter-Lieth diagram using the {climatol} package.

Chris Beltz's Projects

code-in-place icon code-in-place

This is coursework from Stanford's class, "Code in Place" (CS106A), and is a free introductory programming course using the Python language, based on material from the first half of Stanford University's established intro course, CS106A.

guides icon guides

A guide for programming in style.

lesson-on-climatol-climatediagramwl icon lesson-on-climatol-climatediagramwl

This is a help file for creating Walter-Lieth climate diagrams in R using the `climatol` package. Walter-Lieth diagrams are used to summarize long-term monthly climate variables over the course of the year.

mfeutilities icon mfeutilities

R package for useful functions custom-built to work with MFE database.

nceas-df_fair_shiny-dashboard icon nceas-df_fair_shiny-dashboard

This project analyzes the application of the FAIR Guiding Principles through four aggregate scores of the metadata and displays it using a Shiny dashboard.

nitrogen-fertilization-in-sagebrush-pub2019 icon nitrogen-fertilization-in-sagebrush-pub2019

Beltz et al. (2019) was published in PLOS ONE. The study objectives were (1) to evaluate the effectiveness of a nitrogen fertilization pulse in increasing sagebrush biomass and forage quality, and (2) to assess effects of nitrogen addition on soil biogeochemistry and vegetation community structure.

sketch.003_pipeline.dada2 icon sketch.003_pipeline.dada2

Microbial community analysis using DADA2 and the DADA2 tutorial developed by Benjamin Callahan (@benjjneb).

tidytuesday_r4ds icon tidytuesday_r4ds

A weekly data project in R from the R4DS community. See more here: https://github.com/rfordatascience/tidytuesday.

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