Isochronic maps are pretty awesome. However, an isochrone-only projection that ignores geography is prone to the same sort of errors that the alternative create

Isochronic maps are pretty awesome. However, an isochrone-only projection that ignores geography is prone to the same sort of errors that the alternative creates. One simple example that is personal to me -- when I moved from SF to the East Bay, my commute into the city shortened by ~10 minutes because of where I'd been living (out by Ocean Beach) vs where I moved to and the nature of driving and public transit in the SF Bay Area. And yet as far as my friends who lived and worked in SF were concerned, I was now in this mystical place that they didn't really spend any time in or know much about (the perception of Oakland is also contributing here). It'd be interesting to take travel data and cluster it such that you end up with an isopsychochronic projection. Commute visualizations I've seen end up feeling kind of close. http://news.nationalgeographic.com/2016/11/us-commutes-reveal-new-economic-megaregions-map/ http://news.nationalgeographic.com/2016/11/us-commutes-revea...