Update 1

[kzhou53]

Evan Daisy, Kim Zhou, Sanjana Sunder Data Science 18 March 2021 Species Diversity, Human Impacts, and Conservation

For our blog project we intend to expand upon our initial shiny app, by bringing in additional data on conservation funding and looking at the extent to which species diversity in a region is correlated with the amount of money given to conservation in the area. We intend to use data from the same IUCN dataset to make a global map of species richness by country, and building off the distribution of species at various IUCN threat levels from our previous shiny app, we also intend to make the map interactive where the user can once again choose which threat categories they want to be plotted and have the map update based on selected threat categories. We will then bring in data from a Dryad article on conservation funding (https://datadryad.org/stash/dataset/doi:10.5061/dryad.p69t1) to create a similar global map of conservation funding, allowing us to compare where species and conservation funding are concentrated, and if these areas of concentration match up. We intend to incorporate network science into our blog by creating a network using the trade dataset, with directed edges between countries weighted by how many species are traded between them. We will also create a new spatial visualization based on Sanjana’s map for the original App that shades countries based on the number of species they export, allowing us to look at where species trade most frequently occurs and how this is related to species diversity and conservation funding. For our fun, close-to-home species diversity data, we might include data on the species diversity of Northeastern cities from Urban Habitats (http://www.urbanhabitats.org/v01n01/speciesdiversity_full.html) in addition to our data on species diversity in National Parks. For our final product, we hope to have the idea of species diversity conservation as a uniting theme across the blog. Our blog will include a shiny aspect with the interactive map of global threatened species distribution and the prior shiny app visualization of the global trade of animals/animal products. Additionally, comparisons across the funding data, species diversity data, and trade data can illustrate which countries and regions need to get more funding and the general severity of funding needed based on the concern level of species in the area. Proposed Schedule: (Tuesday May 4: Update 2) Thursday May 6: Data Wrangling (Have the city species and conservation funding datasets wrangled and the IUCN and Trade datasets re-wrangled for our new purposes) Tuesday May 11: Plots/Shiny App, Update 3 (Have the new Shiny App made and all of the plots the way we want) Thursday May 13: Presentation (Have a presentation prepared, and start writing about the plots on our blog) Wednesday May 19: Final Blog Due

[katcorr]

@kzhou53 @edaisy @sanj-sund

Sounds like a nice extension for the blog post, team! Do you have any set plans to meet as a group on a weekly or biweekly basis?

Update 1: 10/10

[kzhou53]

Yes! We plan no meeting sundays @1pm

[kzhou53]

We have wrangled all our new datasets and re-wrangled our trade and threatened datasets in preparation for the blog visualizations we want to create.

[katcorr]

@kzhou53 @edaisy @sanj-sund

Great, sounds like you're on track with the original schedule you set.

Update 2: 5/5

[edaisy]

We have created our plots and the new Shiny App, and we are in the process of adding our plots to the blog. After this we will begin writing additional content on the blog and preparing our presentation.

[katcorr]

@edaisy @kzhou53 @sanj-sund

update 3: 5/5