Projects in Awesome Lists by bbarker505
A curated list of projects in awesome lists by bbarker505 .
https://github.com/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).
climate insect invasive-species mapping modeling phenology
Last synced: 16 Dec 2024
https://github.com/bbarker505/mapping_demo
Demo - Some basics of mapping in R
Last synced: 16 Dec 2024
https://github.com/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).
Last synced: 03 Apr 2025
https://github.com/bbarker505/dailynorms
Perl and Octave code used to temporally downscale gridded monthly climate averages to daily averages.
Last synced: 03 Apr 2025
https://github.com/bbarker505/ashs_r_presentation_2023
Presentation given to ASHS on 1/30/23
Last synced: 03 Apr 2025
https://github.com/bbarker505/bbarker505
Config files for my GitHub profile.
Last synced: 03 Apr 2025
https://github.com/bbarker505/purrr_demo
Demo of 'purrr' to Aggregate on 5/26/21
Last synced: 03 Apr 2025
https://github.com/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.
climate geospatial invasive models pest phenology
Last synced: 03 Apr 2025
https://github.com/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.
Last synced: 03 Apr 2025
https://github.com/bbarker505/cps-climsuit-modeling
Project and R scripts used in climate suitability modeling study of Calonectria pseudonaviculata
Last synced: 03 Apr 2025
https://github.com/bbarker505/ceba_climmatch
Reproduces models and figures presented in a climate matching modeling study for Ceratapion basicorne
biocontrol climate invasive models r weeds
Last synced: 25 Mar 2025
https://github.com/bbarker505/tidyverse-aggregate-mar2023
Tidyverse demo for Aggregate 3-16-23
Last synced: 03 Apr 2025
https://github.com/bbarker505/parallel_demo
Demo on how to conduct parallel processing in R
Last synced: 03 Apr 2025