.Rproj.user/5271889B/sources/per/t/AB8556D6-contents

---
title: 'Identifying relationships among catchment land cover characteristics, active layer properties and lake hydroecology in Old Crow Flats, Yukon, Canada'
author: "Brent Thorne"
bibliography: MyLibrary
output: posterdown::posterdown_memoir
---

```{r, include=FALSE}
knitr::opts_chunk$set(echo = FALSE, results = 'asis', fig.height = 3, fig.width = 3, warning = FALSE, fig.align = 'center', message = FALSE, dev='cairo_pdf')
```

# Introduction

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# Study Site

Here is a map made to show the study site using `ggplot2`, `ggspatial`, and `sf`. Lorem ipsum dolor sit amet, [@middleton_geological_nodate] consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Phasellus vestibulum lorem sed risus ultricies tristique nulla. Mauris vitae ultricies leo integer malesuada nunc vel risus commodo. Suspendisse potenti nullam ac tortor vitae. Enim nunc faucibus a pellentesque sit amet porttitor eget. 

```{r, fig.width=3.5, out.width="50%", fig.cap='This is a map of Canada, projected using the NAD 83 UTM Zone 7 Datum.', cache=TRUE}
library(ggplot2)
library(ggspatial)
library(ggthemes)
library(sf)

canada <- read_sf("data/Canada.geojson")


ggplot() +
  ggspatial::layer_spatial(canada, fill = "grey") +
  coord_sf() +
  theme_solarized() +
  NULL

```


# Objectives

\large

1. Here is my first obective. 
2. Here is my second objective. 
3. Finally, my third objectives.

\small

# Methods

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# Results

```{r}
library(kableExtra)
library(ggplot2)

data("iris")

kable(iris[1:4,], caption = "Hopefully this works without much of a headache!") %>% 
  kable_styling()

```

```{r, out.width='60%', fig.width=4, fig.height=3, fig.cap='A typical plot using ggplot.'}

library(ggplot2)
library(ggthemes)

ggplot(data = iris, aes(x = Sepal.Length, y = Sepal.Width, colour = Species)) +
  geom_point() +
  theme_tufte() +
  labs(x = "Sepal Length", y = "Sepeal Width") +
  NULL

```


```{r, out.width='50%',fig.width=3.5, fig.height=3, fig.align='center', fig.cap='A boxplot example.'}

library(ggthemes)
library(ggplot2)

ggplot(data = iris, aes(x = Species, y = Sepal.Length, colour = Species)) +
  geom_boxplot(show.legend = FALSE) +
  theme_tufte() +
  labs(x = "Sepal Length", y = "Sepeal Width") +
  NULL

```


Pellentesque habitant morbi tristique senectus et netus. Magnis dis parturient montes nascetur ridiculus mus mauris vitae ultricies. Nibh nisl condimentum id venenatis. Lorem ipsum dolor sit amet consectetur adipiscing elit duis. Eget aliquet nibh praesent tristique magna sit amet purus. Orci phasellus egestas tellus rutrum. Mauris cursus mattis molestie a. Amet cursus sit amet dictum sit. Tellus id interdum velit laoreet. Tortor at risus viverra adipiscing. Ullamcorper malesuada proin libero nunc. Elit ullamcorper dignissim cras tincidunt lobortis feugiat vivamus. Eget dolor morbi non arcu risus quis. Pulvinar pellentesque habitant morbi tristique senectus.



```{r, out.width='50%',fig.width=3.5, fig.height=3, fig.align='center', fig.cap='A jitter plot example.'}

library(ggthemes)
library(ggplot2)

ggplot(data = iris, aes(x = Species, y = Sepal.Length, colour = Species)) +
  geom_jitter(show.legend = FALSE) +
  theme_tufte() +
  labs(x = "Sepal Length", y = "Sepeal Width") +
  NULL

```

Pellentesque habitant morbi tristique senectus et netus. Magnis dis parturient montes nascetur ridiculus mus mauris vitae ultricies. Nibh nisl condimentum id venenatis. Lorem ipsum dolor sit amet consectetur adipiscing elit duis. Eget aliquet nibh praesent tristique magna sit amet purus. Orci phasellus egestas tellus rutrum. Mauris cursus mattis molestie a. Amet cursus sit amet dictum sit. Tellus id interdum velit laoreet. Tortor at risus viverra adipiscing. Ullamcorper malesuada proin libero nunc. Elit ullamcorper dignissim cras tincidunt lobortis feugiat vivamus. Eget dolor morbi non arcu risus quis. Pulvinar pellentesque habitant morbi tristique senectus.

```{r, out.width='65%', fig.align='center', fig.height=5, fig.cap='Another figure showing how base R plots might look on this poster!'}
par(mfrow=c(2,1), mar=c(0.2,0.2,0.2,0.2),mai=c(0.2,0.2,0.2,0.2))
plot(rnorm(20))
plot(cars)

```

More text now here Pellentesque habitant morbi tristique senectus et netus. Magnis dis parturient montes nascetur ridiculus mus mauris vitae ultricies. Nibh nisl condimentum id venenatis. Lorem ipsum dolor sit amet consectetur adipiscing elit duis. Eget aliquet nibh praesent tristique magna sit amet purus. Orci phasellus egestas tellus rutrum. Mauris cursus mattis molestie a. Amet cursus sit amet dictum sit. Tellus id interdum velit laoreet. Tortor at risus viverra adipiscing. Ullamcorper malesuada proin libero nunc. Elit ullamcorper dignissim cras tincidunt lobortis feugiat vivamus. Eget dolor morbi non arcu risus quis. Pulvinar pellentesque habitant morbi tristique senectus.

# Next Steps

Pellentesque habitant morbi tristique senectus et netus. Magnis dis parturient montes nascetur ridiculus mus mauris vitae ultricies. Nibh nisl condimentum id venenatis. Lorem ipsum dolor sit amet consectetur adipiscing elit duis. Eget aliquet nibh praesent tristique magna sit amet purus. Orci phasellus egestas tellus rutrum. Mauris cursus mattis molestie a. Amet cursus sit amet dictum sit. Tellus id interdum velit laoreet. Tortor at risus viverra adipiscing. Ullamcorper malesuada proin libero nunc. Elit ullamcorper dignissim cras tincidunt lobortis feugiat vivamus. Eget dolor morbi non arcu risus quis. Pulvinar pellentesque habitant morbi tristique senectus.