Pinned Repositories
AHMnimble
aphalara
butterfly_trends
Analysis of population trends of butterflies monitored in Ohio since 1995.
carbon_trends
Chap1-Bfly-Landuse-Climate
Species' responses to climate variability
movement-butterflies
Analyzing behavioral observations of butterfly flight using biangulation
tysonwepprich's Repositories
tysonwepprich/AHMnimble
tysonwepprich/aphalara
tysonwepprich/butterfly_trends
Analysis of population trends of butterflies monitored in Ohio since 1995.
tysonwepprich/carbon_trends
tysonwepprich/Chap1-Bfly-Landuse-Climate
Species' responses to climate variability
tysonwepprich/common_garden
tysonwepprich/counting-butterflies
Correct citizen science counts for abundance estimates
tysonwepprich/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).
tysonwepprich/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).
tysonwepprich/dynamic_shift_detector
A new tool for detecting changes in dynamic rules in population time series data
tysonwepprich/electability
tysonwepprich/fire_tradeoffs
tysonwepprich/gaura_pva
Population viability of Oenothera neomexicana
tysonwepprich/Grevstad_etal_2021
Code and data to reproduce manuscript analysis and figures
tysonwepprich/multivoltine
Testing the lost generation hypothesis
tysonwepprich/OHbutterfly
tysonwepprich/ohio_bfly_predictions
tysonwepprich/ohiogdd
tysonwepprich/phen_mismatch
tysonwepprich/phenology-butterflies
Species' physiological traits and springtime emergence
tysonwepprich/photovoltinism
tysonwepprich/rankr
tysonwepprich/rent4ever
tysonwepprich/RMark
R package for interface to MARK for mark-recapture data analysis
tysonwepprich/shiny-examples
tysonwepprich/shiny-server
tysonwepprich/thewilds_restoration
tysonwepprich/tysonwepprich.github.io
Build a Jekyll blog in minutes, without touching the command line.
tysonwepprich/voltinism
tysonwepprich/Wepprich_etal_2024_voltinism
Code and data accompanying Wepprich et al. 2024 manuscript