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Project_Feedback_gbream #3

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8 changes: 4 additions & 4 deletions index.Rmd
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Expand Up @@ -5,10 +5,10 @@ subtitle: An interactive tool for understanding the distribution of invasive ins
output: html_document
---

# Introduction
# Introduction
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This introduction does a good job of laying the groundwork for the project and clearly states the question you want to explore in your analysis. I do wonder, though, how you will be integrating the temperature increase mentioned in that question.

Invasive species are organisms that cause ecological or economic harm in environments in which they are not native. As globalization has spread and the world has grown exponentially smaller, invasive species have become one of the greatest challenges facing environmental managers today. Coupled with constant influx of imported goods is the ever-looming spectre of climate change. Biodiversity loss caused by climate change may leave room in an ecosystem in which the invader has no natural predators, causing species hierarchies to shift, and the invasive species to outcompete native species already vulnerable due to climate induced stress. While there are numerous other factors involved in the spread of invasive species, this map seeks to ask the question: **Is the spread of invasive species correlated with an increase in mean temperature? Land usage or land cover?** This project aims to build an interactive tool that allows users to trace the spread of numerous invasive species in order to further understand the factors that allow invasive species to spread.

# Materials and methods
# Materials and methods

This project pulls species distribution data from R package [spocc](https://cran.r-project.org/web/packages/spocc/spocc.pdf) to create an interactive map in [Leaflet](https://rstudio.github.io/leaflet/) and [Shiny](https://shiny.rstudio.com/).

Expand Down Expand Up @@ -60,7 +60,7 @@ SWWdf<-occ2df(SWW)
Spocc downloads data via "occ" and converts to a dataframe via "occ2df".

# Results
My figures are not currently displayed, a placeholder image is below. The final project will have a slider built in Shiny that allows the user to control the timeframe of the data displayed.
My figures are not currently displayed, a placeholder image is below. The final project will have a slider built in Shiny that allows the user to control the timeframe of the data displayed.
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The placeholder map shows what looks like distributions of various invasive species as well as the date they became established. Will temperature change over time be a layer or option for display on the final? I ask because your central question/hypothesis mentions a correlation with mean temperature rise.


```{r}
map<-leaflet()%>%
Expand All @@ -82,4 +82,4 @@ This map will be wrapped into a larger Shiny fluidPage so that occurences can be

What have you learned? Are there any broader implications?

# References
# References
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Add references