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Liston_Final_Project_Proposal.Rmd
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Liston_Final_Project_Proposal.Rmd
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---
title: "Visualizing the impact of hurricanes on mangroves over time"
author: Isabel Liston
output:
github_document
---
# Problem / Question
Mangrove trees are a very important aspect of many coastal ecosystems. Many of these areas are also impacted by hurricanes, therefore it is beneficial to understand how hurricanes damage mangrove trees and how long it takes trees to recover from said damage.
# Inspiring Examples
## Example 1
This plot from Hwang et al., 2016 is serving as inspiration for how I will visualize the amount of each species of mangrove in each plot over time. I might also use this format to compare the impacts of various hurricanes on each species of mangrove.
](Example_Plot_Hwang_2016.png)
## Example 2
Doyle et al. 1995 used this data set to analyze the impact of winds related to Hurricane Andrew on mangroves on the southwest coast of Florida. I was inspired by this map that they made to illustrate the study area, specifically the addition of the hurricane's path.
](Example_Map_Doyle_1995.png)
## Example 3
This example inspired me to think about alternative ways of visualizing tree attribute over time, specifically relating tree diameter at breast height (DBH) to the thickness of the lines and having the x-axis represent time, with notes of when hurricane events happened.
](Example_3.jpeg)
# Proposed data sources
I will be using a data set from the USGS Wetland and Aquatic Research Center that contains measurements for various species of mangroves in established plots between 1992 and 2011. I also plan to use data from the Hurricane Exposure package to cross reference the area of hurricane impact with the plot areas.
# Proposed methods
I plan to use tidyverse to do my initial data exploration and manipulation. Then ggplot2 and sf to visualize the spatial distribution of the plots and the various species of mangroves. The Hurricane Exposure package and sf package will be used to add the additional spatial information of hurricanes that have passed through this area to the map. Finally, biomonitoR will be used to compare the recovery rate of the different species of mangrove trees.
# Expected results
The results of my analysis will include a map of the study area, a figure with the path of the hurricanes that passed through the area during the study period, a bar chart comparing the make-up of each plot over time and a graph showing the changes in DBH for the trees in each plot over time.