🎍Randomly Generated Map Prompts -ep 23

30 Day  Map Challenge - 2022

Take a look at the work so far! A live blog of sorts where I will be adding the maps I create during the challenge. It's been fun exploring the data and creativity out there. The challenges are super fun and creative, even if you don't do every map,  I would encourage you to try one or two that interest you.

30 Day Map Challenge - 2022

The 30 Day Map Challenge 2022 is in full swing! If you are not familiar with the challenge, people who love maps get together in November to push their creative skills by creating maps using the prompts above. As the challenge continues, I’ll add more of the maps created, at

MapticalMaptical

glitch 🎏

In keeping with our theme of 30 maps in 30 days, I created this simple map inspiration generator using glitch. If you want to exercise your creativity, give it a shot!

Try out the generator here:

map inspo

a random map idea generator

Github 💾

A helpful R land surface temperature scrip for Calculating land surface temperature (LST) using Landsat 8 or 9 imagery. Very interesing and super helpful if you are using R in your geospatial projects.

GitHub - alyssakullberg/Landsat_land_surface_temperature: Estimate land surface temperature using Landsat satellite imagery.

Estimate land surface temperature using Landsat satellite imagery. - GitHub - alyssakullberg/Landsat_land_surface_temperature: Estimate land surface temperature using Landsat satellite imagery.

GitHubalyssakullberg

On the Bookshelf  📗

This week, I've really enjoyed getting into The Data Detective by Tim Harford. While making so many maps with so many different kinds of data, it's very easy to see how maps and data can be used to lie. This book has been a great introduction to the common mistakes in statistics and how to prevent data visualizations from moving away from the data in the pursuit of eye catching exhibits.