30 Maps

by Dr. U

30 Day Map Challenge 2024

Day 9: AI only

AI

httr2

I used the Cloudflare Workers AI API to use a Stable Diffusion model for generating a map.

Day 8: Humanitarian Data Exchange (HDX)

HDX

I used the health sites data for Canada and Pakistan from the Humanitarian Data Exchange (HDX) website.

Day 7: Vintage style

vintage

HDX

I used ggplot2::map_data to get world map and ggplot2::geom_map for creating the map in this function:

Day 6: Raster

raster

openrouteservice

fasterize

This post is based on works from Milos Agathon (isochrone maps) and a lab from Spatial Methods in Community Research by Professor Noli Brazil.

Day 5: A Journey

journey

mapgl

Fogg accepts a £20,000 wager to travel around the world in 80 days. ‘The unforeseen does not exist.’

Day 4: Hexagons

hexagons

collisions

tmap

Day 3: Polygons

polygons

I used the Urban Areas dataset from Bureau of Transportation Statistics website in the geojson format and loaded it in R via the sf package:

Day 2: Lines

lines

shiny

Day 1: Points

points

crashapi

tigris

I used the crashapi package to gather fatal vehicle crashes for New York city for 2019-2020. Before looking at the maps, recall that stay-at-home orders were given in 2020…