I leave you this week, before handing off the next week to my colleague, on a happy but cautionary note.

Bananas feed much of the world’s population. Bananas are a staple crop. This map is designed to celebrate National Banana Day.

However, there is a menace haunting banana plantations. An airborne wilting disease that kills Cavendish Banana (i.e., the yellow banana that much of the Western world equates with banana today). It’s likely bound to wipe out the banana as we know it within 50 years.

Bananas are not fruit. They are herbs. They have no seeds. Thus, there is no way to save seeds in a vault, so to speak, to bring the species back in the future. We already lost the world’s favorite species of yellow banana many decades ago. Baby boomers may recall the Gross Michel yellow banana, which was the banana that predominated in the west until it went extinct after World War II. It no longer exists; though, its flavor is often what is mimicked and still considered the true banana flavor in candies. It was richer – I’ve been told – and creamier. It was replaced by the similar looking Cavendish banana.

But… there is no similar-looking or tasting yellow banana to replace the Cavendish when the wilting disease, presumably, wipes them all out. (For an interesting read on the topic, check out Banana by Dan Koeppel. High recommend!)

So enjoy your yellow bananas now so you can tell future generations what they are missing out on.

This map shows banana production in millions of tons by country over the past 60-some years. Each decade provides an annual average for the decade. As usual, you can map individual decades, change the classification schemes used, change the number of classes, and also highlight which countries of the world are already impacted by blight.

P.S. If you really like bananas, you can also view what a giant banana orbiting at 440 km above the Earth’s surface would look like here. This is one of the more compelling videos I’ve ever found on YouTube. I hope you enjoy it as well.

View Map Here

WebMapGPT Prompt

# Intent
A map showing banana production over the decades around the world to celebrate National Banana Day in the US.

Also, I want to raise awareness of Banana Wilting Disease and its potential impact on this important crop.

# Map Overview
Equal Earth projection using natural earth countries without lakes joined to the attached CSV file using the ISO3 country abbreviation column.

Remove Antarctica. Ensure the world map stretches to fill the screen left-to-right, even if the entire world is not visible at once.

## Mobile Map Guardrails
On mobile devices, including iPads, requires that the device be tilted to landscape mode to view and interact with the map.

# Attribution Modal
The attribution modal must be invisible when the map loads. It will be shown when a user clicks on the “i” (information button). When visible, it will close/become invisible as soon as a user taps or clicks anywhere outside of the modal. 10px border radius on the background.

## Attribution Modal Contents
Contents should include reference to Natural Earth datasets and prominently present the data sources below.

### Data sources
Original data from [Food and Agriculture Organization of the United Nations (2025)](https://www.fao.org/faostat/en/#data/QCL) with major processing by [Our World in Data](https://ourworldindata.org/grapher/banana-production?tab=table&overlay=download-data). More processing and decade averages created using [Spatial Dataset Doctor GPT](https://chatgpt.com/g/g-69433babe5648191b56993ba465bc3fe-spatial-dataset-doctor-alpha).

### Other Attributions
– Prompt Cartographer: [Ian Muehlenhaus](https://www.linkedin.com/in/ianmule)
– Tool: [WebMapGPT](https://www.webmapgpt.com)
– Campaign: [#365DaysOfMaps](https://mapdesign.icaci.org), Map Design Commission of the International Cartographic Association
– APIs used

The map should be a choropleth map showing total percent change in banana production between 1960s Annual Average and 2020s Annual average. Exclude from the choropleth coloration any countries that have no data in the 1960s and only 0s in 2010s and/or in the 2020s column.

Show the choropleth with a light yellow to dark unripe banana green color ramp. Countries without banana production or that have been excluded should be shown in a banana brown color with banana yellow boundaries. Countris with yellow choropleth fills should have banana green boundaries, and those with green fills banana yellow outlines.

# Info Window
When the user hovers or clicks on a country show a pop-up window (without arrow pointers) with a light, banana yellow background and dark green text with the following info. No outline. The pop-up should have rounded corners.

Include the following information in the popup:
– Country Name
– 2010s Average Rank (highest average is ranked #1)
– Decade Average Annual production as a table for each decade in the dataset (i.e., 1960s – 2020s).
– For countries on the provided Banana Wilting Disease list, please include at the bottom, in dark red print, a warning with a red exclamation mark at the start to catch attention or similar symbol, that the country is exposed to the {wilting_disease_types}, threatening their banana production.

# Title
Title the map like a journalist might across the top, left-aligned: “Global Banana Production”
Subtitle: “Percent change in average annual production 1960s-2020s and exposure to Wilting Disease”

# Hamburger Icon
In the upper right, include a hamburger button that has the following options:
– Revise Visualization
– Attribution

Clicking the attribution button will open the attribution/sources modal discussed above.
Clicking Revise Visualization will open a different modal explained below

# Visualization modal
– In the visualization modal, stylishly include an option to change the classification scheme, number of classes, and fields being mapped on the map.

## Allow users to do the following via interaction
### 1. Change the classification scheme between Natural Breaks (default), Equal Interval, Standard Deviation, Quantiles, Arithmetic, or Unclassed classifications.
### 2. Change the number of classes. Default is 5. May change it from 3-7 classes. A quaint slider would be ideal but I leave it to you to design. Disable this when the “unclassed” scheme is selected, obviously.
### 3. Which field to map
Default map is percent change in average annual tonnage between 1960s and 2020s.
The user is allowed to show average annual production for any decade of their choice. Provide in a dropdown list.

When the field being mapped changes, update the map accordingly maintaining the currently selected classification scheme and number of classes.

## Disease exposure.
Please provide a list of the different Wilting Disease categories (as collected off of the attached screen capture of a map above). Above the list have a title similar to “Wilting Disease Types” and underneath that in fine print, filter countries based on exposure.

Allow the user to multiselect countries based on whether or not they are exposed to any of the different wilting disease categories. Make those not exposed, including those with no production, 50% transparent. If none of the diseases are selected, show all countries as normal.

## Closing Modal
Ensure that the modal can be closed or disappears when the user clicks outside of it.
Ensure this modal starts closed when the map loads.

Attachments:
– CSV Banana Dataset
– Map image (with list) of different banana wilting disease ranges. Please use this to classify cities on the map for the country filters. You may peruse the internet to finalize the categories for these if interpreting the map proves too difficult. Thanks!

Happy National Moment of Laughter Day, America.

You certainly can use it. You’re being led by a (allegedly) senile narcissist and going through hegemonic decline at a steady clip. It’s rough going – both here and for the rest of the world.

Laughter doesn’t cure anything, but it does kill the pain of the uncontrollable.

Though simple to create, I’m quite happy with how this map came out. I actually quite like the symbology and the vibe I get looking at it – a Hallmark condolence card for a traumatized nation.

Originally, I was trying to get Google Gemini to create a laugh track for an animated map of laughter, but my endeavor failed miserably. I am sharing the results of that endeavor, because in many ways, the results are as maniacal sounding as the US actually feels right now – a horror show, in my opinion.

United we laugh… and hopefully, live to pick up the pieces. 

Google Gemini Image Creator Prompt

Please draw an artistic map of the United States in colored pencil where every state is represented by the profile of a laughing, smiling, friendly looking person. Make sure the people included are diverse in age, race, and a good mix of female and males. All pictures should be of people laughing and coming out of where the state borders would be, with some overlap of one another, etc. Only include the 48 contiguous states, please. The image is meant to be used to celebrate the Moment of Laughter Day. No text should be included on the map except at the top somewhere in handwriting “Enjoy a Moment of Laughter”.

And creepy Google Gemini laugh-track musical results… too scary to use.

Link to several of them… The first one gets very weird about halfway through. Like a Terry Gilliam film without the film.

https://gemini.google.com/share/0381d2943a29

P.S. I swear I hear Jabba the Hutt’s little laughing monster sidekick in one of these.

Happy National Scrabble Day!

I always stunk at Scrabble. It didn’t help that my mother was trained as an English teacher. She loved spelling, definitions, grammar — all of it — and took no mercy on her children, regardless of our age. (For the record, she still skunks me at Bananagrams too.)

But I do enjoy the game. In fact, I love all games! I play Euro boardgames, nerdy deck-building card games, and tactical war games with my local gaming friends several week nights or weekend days most weeks.

And as an analog game addict, I was thrilled to see a game with its very own day — that wasn’t Monopoly. (Curses!)

I like designing games too, in my spare time, so I thought… let’s combine Scrabble with Geography for this map.

Moreover, it’s fun to see where people visit our prompt maps from, so I thought… why not let people record their scores and see how they do compared to others? So I added a little database so you can store your high score like you’re playing Pole Position at an arcade on the Italian Riviera in 1983! (That’s what my brother spent his summer doing. He was so proud having the highest score for kilometers around!)

## How to Play

A country name will be randomly selected. You will be shown the letters required to spell it.

Simply drag the letters to spell the country name. Once you’ve spelled it right, you’ll hear a little ding and be shown the next random country to spell. You earn points based on the real-life Scrabble value of the letters in the country name.

View Map Here / Play Game Here

You get three passes. (I admit, there are some questionable ones in there. I blame Natural Earth data for those… “StGeorge and Isl”?) Save those passes for when you really need them! 🙂

After that, your score is frozen. You can keep playing if you want. Or you can record your score and see how you compare.

The countries fill in as you solve them and their point totals are added to a list you can see.

This works on mobile too. I tried it. It’s a little easier in some ways dragging letters on mobile. (Though, the map is not very big. You can zoom if you like.

Have fun! And play more games; they keep people young and may help prevent dementia.

Original Web Mapper GPT Prompt

# Intention
I would like to make a fun, puzzle map for International Scrabble Day on Monday.

For this map, I would like to have a world map where someone is shown a scrambled country name.

They need to unscramble the name by pulling and placing the letters in the correct order (some squares at the bottom of the map where Antarctica would be. (I ask that you exclude Antarctica from the map for the interactive board area.)

Once a country is correctly spelled, it is automatically filled, and the points for that country (based on the Scrabble point values for the letters in the name just spelled) is added to a score board.

If a user completes the entire map, the map will be filled in with countries and they will be able to enter their first name, last name initial, and country of residence on a User Score board that is maintained on the server and shown when the user clicks a button that will be described later.

# Map Area

Please use natural earth countries without lakes boundary data. Equal Earth Projection. Remove Antarctica and islands smaller than 300 square kilometers.

## Map Interactivity

Allow the user to zoom in on the map up to five times full extent and pan the map. Do not allow the user to zoom out past the map’s full extent nor pan off the edge of the map.

## Map Coloring. The app background should be light gray with random, intermittent, and very light tiles and squares in pink and blue in the same style of a Scrabble board. Make it lighter than a scrabble board, though. Just game board light with light papery texture.

The countries should start off with light gray, semi-transparent (65% alpha) fills. The border outlines should be 100% alpha and the baby blue from the Scrabble board, full value and saturation (unlike the background blue).

## When a country name is spelled correctly
The country will fill with a wood-tile grain style fill (like the letter pieces in Scrabble.) Make sure they tile to fill without gaudy interruptions in the image in large countries like Canada and Russia, etc.

## Country click
When a user clicks on a country, nothing happens if the user has not yet filled in the name successfully or been offered an opportunity to fill in the name.

### Country name concluded
If the user already successfully spelled the name, the country is filled in with wood grain, and the user may click on the country and see the name of the country as well as its point value based on Scrabble letters. (You will have to look up the value of different Scrabble letter points in English and determine this when coding. Sorry, I’m not sure offhand.)

# The Scrabble Game
At the bottom of the map (where Antarctica would be) will be the game area.

You will randomly select one of the countries in the Natural Earth Dataset and provide a number of blank square spaces at the bottom center of the map that the user must fill in.

Additionally, you will provide all the letters required to fill in the spelling, one for each blank square at the bottom, scattered over the center of the world map at different, random angles between -45 to +45 angles from standard reading level so they are all right-side up but look truly dispersed on the board. Ensure that the letters are mixed and NOT in the correct order to spell the country name easily. (The game is figuring out what country name to spell.)

The user will drag each letter to a square and drop it. When dropped, it should be made to fit correctly (and at the correct angle). The user will spell the country name. The user may move letters that have already been dropped to other spaces (so they can correct misspellings). If another letters is already in that space, they will swap spaces. If a new letter is dropped onto a space that already has a letter in it, the originally placed letter will be displaced to just above the space it was in so the user can use it again in a different space.

Once a user spells a country’s name correctly, make a light ding noise (like a help desk bell sound) and randomly select another country from those remaining (i.e., that haven’t yet been played) and set up the new game board. Also, make sure the country that they just spelled fills in on the board as described above in the map section.

When the user spells the name correctly, automatically add the Scrabble point total to the scoreboard, which I will be mentioned in more detail later. Keep a sum.

The user will get “Three Passes.” Each pass is -50 points. However, when used, have the letters move and arrange themselves to fill in the spelling. Do the ding, flash “-50” on the screen briefly, and fill in the country. Subtract 50 points from the score. Negative scores are possible.

The pass button should be to the right of the empty spelling squares for each country. When the user hovers over the “Pass” button, tell them how many passes they have left. Once they have used all three passes, remove the button from all forthcoming spelling challenges and instead replace the button with a “Record My Score” button.

When the user clicks the “Record My Score” button, show a score-modal in the middle of the screen. The score-modal should be titled: “Join our leaderboard”. It should contain two fill-in input text boxes.

– Name/Alias: {they fill in an alias name. Ensure no derogatory, sexual, or vulgar words are allowed please}
– Country of Residence: {country where they live}

Add a save button.

Once saved, update the modal to show all saved scores with Alias, Country, and Total Score in table format (without borders) in descending order from highest score to lowest. Add a scroll bar if enough people record their score that you need to scroll down. Maintain this scoring database on the backend. (I have my own Ubuntu/Apache server, so if I need to do something on the backend to make this happen, I can.)

Make sure that the user can close out the save and high scores dual modal by click a close button “X” in the upper right.

# Title
Place the title in the upper left of the map, on a navbar header. Use a traditional Scrabble-title like font from Google Fonts.

Title = “International Scrabble Day!”

# Information
On the right side of the navbar header, have an “i” icon for information.

When the user clicks on the “i”, have a modal pop up with simple, straight-forward, and inviting directions on how to play the game.

At the top of the modal please place an obvious but not gaudy “High Scores” button and when clicked replace the text and info in the current modal with a table (styled the same as the high scores table above) showing Alias and Score for the Top 10 scores currently saved. There should be a small “X” button inside the scores text to get back to the information modal content.

At the bottom of the modal include styled hyperlinks mentioning “Created for free with Web Mapper GPT” with a link to the provenance file, and then some text to “ICA Map Design Commission” with a hyperlink to “https://mapdesign.icaci.org”. In the provenance put “Idea and design by Ian Muehlenhaus.”

# Mobile devices.
The following directions pertains to only handheld mobile devices:

– Please make this mobile device friendly by ensuring the user is in landscape mode for it to work.
– Have the title bar disappear after 8 seconds. In the lower left corner add a button to click that shows the title bar again, or hides it if it is showing. (A show/hide button, so to speak).
– Ensure the letters are large enough to click on and drag with a fat finger. 🙂

Thank you.

Any questions before you begin? If not, proceed. If yes, stop and ask before concluding. Thanks!

Happy drop everything and read day!

Beverly Cleary shaped millions of American children’s reading habits. She was a prolific author of children’s literature from the 1950s onward. Sadly, she passed away at 95 in 2021. However, her stories and books live on and are still widely read today — including by my kids when they were in grade school.

Her most famous character, arguably, was Ramona Quimby. (Ramona was a pest!) In those books, there was a reading group or initiative that Ramona took part in called: “Drop Everything and Read.”

The idea of celebrating Drop Everything and Read Day on Beverly Cleary’s birthday was born.

Though I went on a diatribe against capitalism and the death of writing careers two days ago in Friday’s post (Map 100 in this series), I want to assure you that I also enjoy reading and I do encourage young people to read. So this map is a mea culpa, in a way.

Each state shows the number one Google-searched children’s book and young adult fiction book in 2023 (I believe… the exact date should be in the pop-up window).

Each state is also colored based on the percent of the state population that is 0-18 years of age using US Census data.

Originally I was going to color the states with the appropriate book covers, but alas… darn copyright laws, make such free advertisements nearly impossible to pull off. Sorry! 🙂

Happy Drop Everything and Read Day! And thank you for all the great stories and memories, Beverly Cleary!

View Map Here

Data Creation with Perplexity Pro Prompt

Can you create a simple state-based dataset of most popular children’s book state-by-state based on 95 percent group and also Fusion Academy’s Young Adult most popular books by state and combine them into a single dataset. Also, if possible create a separate field using the most recent Census population survey/estimate data 2023 or later for each state showing percent of total population aged 0-18 or ~5 to 18 years of age (wherever the closest census breakdown is, please).

This dataset will be used in a map to celebrate “Drop Everything and Read Day” on Beverly Cleary’s birthday. Thanks! (P.S. Please include a column with state abbreviations too.)

WebMapGPT Prompt

Hi there. Sunday is Beverly Clearly Day or Drop Everything and Read Day (DERD).

To celebrate, I’m creating a simple US state map that displays either the top searched for children’s book and young adult book by state.

# Intent
To highlight young adult and children’s literature to celebrate Beverly Cleary’s contribution to reading.

# Map
Please use a US state base map in equal area albers or similar projection with Alaska and Hawaii placed in the lower left.

Each state should be filled with the book cover of the book represented by the data. States should have white outlines.

I’m not sure where images of book covers are on the internet, but I imagine Wikipedia probably has some good images, perhaps Amazon, or Google Books?

When a user clicks on a state, a pop up should appear (without an arrow) with the following information laid out similarly:

<div>
<h3>{state} ({state_abbr})</h3>
<p><strong>Children’s pick:</strong> {children_book_95percentgroup}<br>
<strong>YA pick:</strong> {ya_book_fusionacademy}<br>
<strong>Population under 18:</strong> {pct_under_18}%</p>
<p>Compiled for Drop Everything and Read Day using state-level book-interest studies and ACS 2023 Census profile data. We love you Ramona Quimby!!! We miss you Beverly Cleary.</p>
</div>

There should be a toggle switch in the upper-right of the map to switch between Children’s / Young Adult.

When toggled, have the book covers change to the appropriate book cover for that book type in each state. You may tile book covers to fill each state.

Splash screen title at start that is open in a modal:

Title: Happy Drop Everything and Read Day
Subtitle (60% font size of title): Top Children’s and Young Adult Book Google Searches by State

Beneath, a brief bit about “DEAR” Day and Beverly Cleary.

Sources for the data spelled out.

Smaller and more subtle font:
List of tools used to make the map: APIs, Made with WebMapGPT (webmapgpt.com), Ian Muehlenhaus (linkedin.com/in/ianmule), Map Design Commission of the ICA (mapdesign.icaci.org), and with links to the websites where applicable and Ian’s LinkedIn profile are. Provenance link.

I’m attaching an EXCEL dataset and some data source and provenance information. Thanks!

I knew going into this that this map was going to disgust me. But I couldn’t resist. Besides, it’s a Saturday, so hopefully it doesn’t get too many looks.

I like fondue well enough, but how do you make a cheese fondue map without it looking like… well… yeah.

Alas, here it is. I can only say that Monday’s Map (103/365) will more than make up for this. I’m hooked on visiting that one right now, and I’m pretty sure others will be too. Until then… bon appétit!

View Map Conversation and Map Image on Google Gemini Here

The Prompt (Google Gemini – Image)

I would like to make a tasteful cheese fondue map for Cheese Fondue Day.

I would like to see a world map, with generalized elevation in a stereographic style projection (circular), layered in cheese fondue. The image should look like a print map and appear as though it is a photograph of cheese fondue dumped on elevation model paper map. Have waves and drips, etc.