<commit_before>---
permalink: /resources
title: "Resources"
author_profile: true
layout: single
header:
    overlay_image: assets/images/ashcroft.jpg
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## Education and outreach resources
We aim to broadly disseminate our research to enhance understanding of the ecological and evolutionary impacts of climate change to students and the public. We are building interactive R Shiny applications and associated tutorials to allow students and others interested to explore the ecological and evolutionary impacts of climate change through interacting with data. See our education and outreach [website](http://faculty.washington.edu/lbuckley/?page_id=522) (to be updated).

## Project-specific quantitative tools
We publish code associated with particular publications or applications in GitHub or Dryad respositories. Resources include the following:

** Extreme value analysis for temperature data** 
[Dryad Respository](https://datadryad.org/resource/doi:10.5061/dryad.5jg20 https://github.com/lbuckley/ExtremesPTRSb)
[GitHub Repository](https://github.com/lbuckley/ClimateBiology)

** Quantitative genetic model of response to thermal extremes **

**  Model of butterfly responses to climate change**- Integrates microclimate, developmental, biophysical, demographic, and evolutionary models
Quantitative genetic model: [GitHub Repository](https://github.com/lbuckley/ColiasEvolution) Simpler but less documented than below.
Model at biogeographic scales: [GitHub Repository](https://github.com/lbuckley/ColiasBiogeog)

** Spatial autoregressive models and Colias butterfly museum data **
[Dryad Respository](https://datadryad.org/resource/doi:10.5061/dryad.f448b91)
<commit_msg>More resource updates<commit_after>---
permalink: /resources
title: "Resources"
author_profile: true
layout: single
header:
    overlay_image: assets/images/ashcroft.jpg
---

## Education and outreach resources
We aim to broadly disseminate our research to enhance understanding of the ecological and evolutionary impacts of climate change to students and the public. We are building interactive R Shiny applications and associated tutorials to allow students and others interested to explore the ecological and evolutionary impacts of climate change through interacting with data. See our education and outreach [website](http://faculty.washington.edu/lbuckley/?page_id=522) (to be updated).

## Project-specific quantitative tools
We publish code associated with particular publications or applications in GitHub or Dryad respositories. Resources include the following:

**Extreme value analysis for temperature data** 
From a review [paper](https://royalsocietypublishing.org/doi/10.1098/rstb.2016.0147) on quantifying thermal extremes 
[Dryad Respository](https://datadryad.org/resource/doi:10.5061/dryad.5jg20) 
[GitHub Repository](https://github.com/lbuckley/ExtremesPTRSb)
From a perspective [paper](https://academic.oup.com/icb/article/58/1/38/4986977) on leveraging organismal biology to forecast the effects of climate change
[GitHub Repository](https://github.com/lbuckley/ClimateBiology)

**Quantitative genetic model of response to thermal extremes **

** Model of butterfly responses to climate change**- Integrates microclimate, developmental, biophysical, demographic, and evolutionary models

Quantitative genetic model: [GitHub Repository](https://github.com/lbuckley/ColiasEvolution) Simpler but less documented than below.

Model at biogeographic scales: [GitHub Repository](https://github.com/lbuckley/ColiasBiogeog)

**Spatial autoregressive models and Colias butterfly museum data **
[Dryad Respository](https://datadryad.org/resource/doi:10.5061/dryad.f448b91)

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