GitHub - 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).

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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…

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Name		Name	Last commit message	Last commit date
Latest commit History 7 Commits
DDRP_cohorts_v1.R		DDRP_cohorts_v1.R
DDRP_cohorts_v1_funcs.R		DDRP_cohorts_v1_funcs.R
Neoleucinodes_elegantalis_STB_model_White_Paper FINAL.pdf		Neoleucinodes_elegantalis_STB_model_White_Paper FINAL.pdf
STB.params		STB.params