taylor woods

postdoc @ USGS

less than 1 minute read

clim

This graphic was inspired by a lovely post showing recent rises in climate change-induced drought by region. I downloaded daily maximum temperature and precipitation data from the daymet dataset on google earth engine and calculated the average maximum temperature and the annual summed precipitation by year per US county. I averaged these values by 2 decades: 1980-1989 and 2010-2019. I compared these decadal averages to examine spatial patterns in where counties are warming vs. cooling or dying vs. wetting, on average. I was also stoked for an excuse to try out spike maps using a recently developed R package - thanks to the dev for this!

You can download this visualization here: Download here.

You May Also Enjoy

visualizing hierarchies in R

less than 1 minute read

Here are a couple ways of exploring hierarchical (nested) data in R. This dataset consisted of taxonomic (order, family, genus, species) data for dragonflies...

network analysis: MLB

less than 1 minute read

Here, I explore basic components of social networks using Sean Lahman’s MLB dataset. The infographic displays centrality of teams based on relationships ...

US population maps

less than 1 minute read

I visualized county percentages of state populations using data from the R package tidycensus. Mapping the percentages nation-wide revealed states with l...

2021 march madness

less than 1 minute read

While watching March Madness this year, I felt there seemed to be a ton of upsets. So I used a 1985-2016 NCAA March Madness dataset and filled in data from ...