National Anxiety Day is a day designed to bring awareness to contemporary stressors that are plaguing many of us. The idea is to take deep breaths, develop coping mechanisms for our anxietites, and not let anxiety rule our lives.
I have created a map to help us all do that – via exposure therapy!
The map below lists over 300 events or situations in the past year (or very likely to occur in the next year) you could – no should – be worrying about right now. I used my GIS Dataset Doctor agent to find a variety of ecological, economic, natural disaster, social, political, and violent contemporary events at all geographic scales around the entire globe. I also invented a “Dread Index” that each event has from 0-100 with 100 being the most dreadful. The Dread Index should give you pause… breathe… as it’s based on geographic scope of the event and overall social impact.
For each even there is a byline, and 1930s newspaper-like description. As well as some very sound advice for how to deal with the anxiety reading about the event may be causing you. 😉
You can filter the events by continent, event type, and some tags.
Just seeing the 300+ things I have to worry about when I zoom in on the map gives me pause, which I suppose … that’s the point. When I pause, I breathe. When I breathe, I (am supposed to) feel better.
I hope you enjoy this Noir Detective/Newspaper map. I had a lot of fun creating every bit of it.
Thanks for viewing!
Web Map GPT Prompt
I would like you to create a map for National Anxiety Day. I have a dataset with over 300 current affairs, events, issues, and disasters that people can spend the day worrying about.
I would like you to review the dataset, come up with a way to represent the dataset comically on a web mercator projection, develop a set of intuitive and user friendly (as well as mobile-friendly) tools so users can filter by tags, continents, country, or type of things to worry about. Create pop-up windows that are stylish and comic-book/Film Noir in style.
The overall aesthetic should be Film Noir, 1930s, radio-broadcast or newspaper journalism. Use typefaces reminiscent of that time, dark color grounding, a lot of gray scale on the base map, and have exciting, visually popping info windows/pop outs, etc. Use bright print like colors for the points.