bbarker505
I am an Assistant Research Professor at the Oregon IPM Center @ Oregon State Univ. I'm interested in modeling, mapping, biodiversity, ecology, and invasions.
Oregon State UniversityPortland, OR
Pinned Repositories
1990_daily_30yr
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.
ASHS_R_presentation_2023
Presentation given to ASHS on 1/30/23
bbarker505
Config files for my GitHub profile.
Cps-climSuit-modeling
Project and R scripts used in climate suitability modeling study of Calonectria pseudonaviculata
dailynorms
Perl and Octave code used to temporally downscale gridded monthly climate averages to daily averages.
ddrp-cohorts-v1
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).
ddrp_v2
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).
ENMTML
Create Ecological Niche Models with TheMetaLand
mapping_demo
Demo - Some basics of mapping in R
purrr_demo
Demo of 'purrr' to Aggregate on 5/26/21
bbarker505's Repositories
bbarker505/ddrp_v2
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).
bbarker505/mapping_demo
Demo - Some basics of mapping in R
bbarker505/ddrp-cohorts-v1
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).
bbarker505/1990_daily_30yr
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.
bbarker505/ASHS_R_presentation_2023
Presentation given to ASHS on 1/30/23
bbarker505/bbarker505
Config files for my GitHub profile.
bbarker505/Cps-climSuit-modeling
Project and R scripts used in climate suitability modeling study of Calonectria pseudonaviculata
bbarker505/dailynorms
Perl and Octave code used to temporally downscale gridded monthly climate averages to daily averages.
bbarker505/ENMTML
Create Ecological Niche Models with TheMetaLand
bbarker505/purrr_demo
Demo of 'purrr' to Aggregate on 5/26/21
bbarker505/sph_r_programming
Lab notebooks for Ready for R course
bbarker505/tidy_tuesday
Scripts and plots for Tidy Tuesday weekly data science challenges
bbarker505/workshops_UW_Seattle
bbarker505/2021-04-02-r-ladies-seattle-online
bbarker505/boxb
bbarker505/boxb-ddrp
bbarker505/CASCADIA_R_Intro_to_GIS_2024
Materials for 2024 Cascadia R Conference workshop, "Intro to GIS and Mapping"
bbarker505/CEBA_climMatch
Climate matching modeling study for C. basicorne
bbarker505/ddrp_v3
An updated version of the DDRP platform (from v2) that uses newer R packages ("terra" and "sf"). 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.
bbarker505/demo-tidy-eval
PDX R Meetup
bbarker505/distill_website
Small Example of a Personal Distill Website for SPH504
bbarker505/parallel_demo
Demo on how to conduct parallel processing in R
bbarker505/postcards
💌 Create simple, beautiful personal websites and landing pages using only R Markdown.
bbarker505/R-ecology-lesson
Data Analysis and Visualization in R for Ecologists
bbarker505/tidyverse-Aggregate-Mar2023
Tidyverse demo for Aggregate 3-16-23
bbarker505/tidyverse_demo
Aggregate demo for 3/16/23