Name: Brittany Barker
Type: User
Company: Oregon State University
Bio: I am an Assistant Research Professor at the Oregon IPM Center @ Oregon State Univ. I'm interested in modeling, mapping, biodiversity, ecology, and invasions.
Twitter: brittanysbarker
Location: Portland, OR
Blog: brittanysbarker.org
Brittany Barker's Projects
Daily downscaled gridded climate averages for 1961-1990. Input data are monthly tmin and tmax data from the PRISM database. Output data were generated using the "dailynorms.pl" script in bbarker505/dailynorms.
Presentation given to ASHS on 1/30/23
Config files for my GitHub profile.
Materials for 2024 Cascadia R Conference workshop, "Intro to GIS and Mapping"
Project and R scripts used in climate suitability modeling study of Calonectria pseudonaviculata
Perl and Octave code used to temporally downscale gridded monthly climate averages to daily averages.
The objective of the Degree-Day, establishment Risk, and Pest event mapping system (DDRP) is to predict phenology and climate suitability of invasive, biocontrol, and IPM species for the conterminous United States. DDRP is written entirely in the R statistical programming language (R Development Core Team 2019), making it flexible and extensible, and has a simple command-line interface that has already been adapted for online use. The platform can use a variety of gridded weather and climate data types for any historical (post-hoc), real-time, or future (downscaled GCM) time period. Model products include gridded (raster) and graphical outputs of number of completed generations, phenological/pest events, and climate suitability (i.e., establishment risk maps).
A final production version of the DDRP platform that includes cohorts, parallel processing, and improving mapping routines. The objective of the Degree-Day, establishment Risk, and Pest event mapping system (DDRP) is to predict phenology and climate suitability of invasive, biocontrol, and IPM species for the conterminous United States. DDRP is written entirely in the R statistical programming language (R Development Core Team 2019), making it flexible and extensible, and has a simple command-line interface that has already been adapted for online use. The platform can use a variety of gridded weather and climate data types for any historical (post-hoc), real-time, or future (downscaled GCM) time period. Model products include gridded (raster) and graphical outputs of number of completed generations, phenological/pest events, and climate suitability (i.e., establishment risk maps). The platform is described in a peer-reviewed paper in PLoS ONE (https://doi.org/10.1371/journal.pone.0244005).
PDX R Meetup
Small Example of a Personal Distill Website for SPH504
Create Ecological Niche Models with TheMetaLand
Demo - Some basics of mapping in R
Demo on how to conduct parallel processing in R
š Create simple, beautiful personal websites and landing pages using only R Markdown.
Demo of 'purrr' to Aggregate on 5/26/21
Data Analysis and Visualization in R for Ecologists
Lab notebooks for Ready for R course
Scripts and plots for Tidy Tuesday weekly data science challenges
Tidyverse demo for Aggregate 3-16-23
Aggregate demo for 3/16/23