README.md

In ggcostoya/tpcurves2: T-P Curves

Thermal - Performance Curves 2

Welcome to the tpcurves2 package, a compilation of tools to generate, analyze and perform simulations using thermal-performance data. The capabilities of this package are displayed in the horizontal bar above. For now, these capabilities are distributed in the following pages:

• Generate Data: Tools to generate thermal-performance data at an individual, population and multiple populations level and examples on how to use them.

• Analyze Data: Principles and examples on how to analyze thermal-performance data in order to get thermal-performance curves and thermal-performance traits.

• Simulation Basics: Principles and examples on how to create basic simulations using thermal-performance data. The page details how to simulate survival, reproduction and how to put them both together to simulate population dynamics between two moments in time.

• Simulation Examples: Two simulation examples replicating the Specialist-Generalist Trade-off and the Hotter is Better scenarios from the Logan & Cox 2020 paper to show how all the package's features are put together.

Within the text of these pages I've use a lot of acronyms and abbreviations to ease writing and avoid repetition. Some of the most common ones are:

• TPD: Thermal - Performance Data.

• TPC: Thermal - Performance Curve.

• TPTs: Thermal - Performance Traits.

• PIT: Performance - Indicator Trait.

• $T_{opt}$: The thermal optimum, a TPT

• $CT_{max}$ and $CT_{min}$: The critical thermal max & min, TPTs

• $T_{br}$: The temperature breath of a TPC, a TPT

• $P_{max}$: The maximal performance capacity, a TPT

• $P_{min}$: The minimal performance capacity.

ggcostoya/tpcurves2 documentation built on Jan. 1, 2021, 2:19 a.m.