design fuel
Colorado has multiple sets of peaks over 13,000' and 14,000': our thirteeners and fourteeners. Within those sets, we also have ranked and unranked peaks, which are determined by a statistic called prominence (i.e., rise and fall relative to the peak's nearest neighbor. There's a thriving subculture of mountaineers, peakbaggers, who strive to hike to the summit of each ranked peak on those lists.
In 2020, The National Map gathered LiDAR data on Colorado's topography. Because LiDAR is far more precise than the methods previously used, the height of every point in the state changed quite a bit. As the peakbagging community processed the new data, they discovered that many mountains' categories had changed, disrupting quite a few summit checklists.
my part of the story
Despite the inherently spatial nature of these changes, I'd never seen them mapped out or even visualized. I set out to not only boil this complex information down into an effective symbology, but also to learn how to make gorgeous static maps in Esri's flagship software, ArcGIS Pro.
I started by scraping the peak data from Lists of John (previous link), narrowing it down in Excel to the sets of peaks I was interested in, classifying each peak, and importing it as a new feature class.
From there, I stitched together a DEM of Colorado from USGS rasters, generated a multidirectional hillshade on top... and iterated on the graphic design for two whole months. This was truly a test of my data visualization skills, and the maps that came out the other side are some of the best visual work I've ever made.
final images
symbology and basemap drafts