Tyson Wepprich (tysonwepprich)

tysonwepprich

User data from Github https://github.com/tysonwepprich

Company:North Carolina State University

Location:Raleigh, NC

GitHub:@tysonwepprich

Tyson Wepprich's repositories

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butterfly_trends

Analysis of population trends of butterflies monitored in Ohio since 1995.

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Chap1-Bfly-Landuse-Climate

Species' responses to climate variability

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counting-butterflies

Correct citizen science counts for abundance estimates

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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).

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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).

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dynamic_shift_detector

A new tool for detecting changes in dynamic rules in population time series data

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gaura_pva

Population viability of Oenothera neomexicana

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Grevstad_etal_2021

Code and data to reproduce manuscript analysis and figures

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multivoltine

Testing the lost generation hypothesis

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phenology-butterflies

Species' physiological traits and springtime emergence

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RMark

R package for interface to MARK for mark-recapture data analysis

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tysonwepprich.github.io

Build a Jekyll blog in minutes, without touching the command line.

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Wepprich_etal_2024_voltinism

Code and data accompanying Wepprich et al. 2024 manuscript

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