Science Friday
Hosted by Ira Flatow
In "Mapmatics," a mathematician tells the stories of how math helps us track epidemics, map the seafloor, and plot a complex delivery route.
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Science Friday is supported by MathWorks, creator of MATLAB and Simulink software for technical computing and model-based design. MathWorks, accelerating the pace of discovery in engineering and science. Learn more at mathworks.com. Hi, this is Ira Flatow, and you're listening to Science Friday. Today on the show, understanding the math used to make maps.
Every single map we create is distorted in some way. It's not a perfect representation of the Earth.
You know, your common, everyday map can be quite confusing and, well, just inaccurate. Greenland, for example, is shown to be about the same size as South America, when in fact, South America is really eight times larger. Then again, most of us take for granted how maps are designed. After all, we've got a pretty good map in our pockets at all times, ready to show us turn-by-turn directions to get anywhere on the globe. But to make a map useful, you have to decide what to leave out and what to keep in, and, most importantly, which mathematical equations to use. And beyond navigating from point A to point B, maps are used for a wide variety of things,
like the most efficient route to deliver a package, calculating the depth of the ocean floor, and understanding the drawbacks of the Mercator projection. Joining me now to take us on a journey through the math fundamental to all kinds of maps is my guest, Dr. Polina Rovinska, mathematician, writer, science journalist, and author of the book Mapmatics: How We Navigate the World Through Numbers. She's based in New York City. Polina, welcome to Science Friday.
Hello, thank you for the invitation.
You're welcome. Can I begin with my pet peeve about how you get into trouble turning a three-dimensional thing like the Earth into a two-dimensional image of map? And this Mercator projection, tell me how all this happened.
Yeah, so I think about making maps a bit like peeling an orange, you know? An orange is round and when you peel it, you might want to, if you're a mathematician, squash it on a flat table. But you cannot do it without tearing the orange, and that's because of its curvature. And that, the same happens with making maps. So, you know, we are turning a curved sphere, the Earth is pretty much a sphere, onto a flat sheet of paper. And a gentleman named Gauss, in the 19th century, he proved that this is actually impossible mathematically.
When you have two surfaces of different curvatures, you cannot translate it like that without any distortions. Well, we still do it, right? Like, we still create maps. So what does it mean? This means exactly that every single map we create is distorted in some way. It's not a perfect representation of the Earth. So, one of the probably most famous maps, world maps out there is Mercator projection. It's a very old projection. It's a type of a map that protects the shapes, so the angles and the shapes of continents and countries, et cetera,
but it distorts their sizes. So, as we heard a couple of minutes ago, when we look at this map, Greenland looks massive, Africa looks tiny. So, and this is just a mathematical property of this map, and it's just one of the many projections we can make.
So this was basically created for sailors needing to get around the world?
That's correct, yes. Mercator created this map for a particular purpose. So the purpose of this map was to go on the sea and not get lost. And here's where the angles come in. So back in the day, sailors were navigating with a compass and other equipment that required angles. And you know, when you are in the middle of the sea, your main concern is to figure out which direction to go to. Yes, it would be nice to know how long it's going to take, but that's a secondary problem. Because if you go in the wrong direction, you won't get there at all, right?
So that's why Mercator's map was so useful. And we still use it for navigation, kind of versions of Mercator map. Not exactly the same map, centuries-old map, but versions of it are on, you know, Google Maps and other online maps. So this map was made for navigation.
Yeah, so it gets the job done in that sense.
It does, it does, yes.
Now, I understand you are a mathematician. How did you get into maps? Was this a hobby or something?
Yeah, so I was a bit of a geography nerd at school.
I really loved maps and geography. I did even like Geography Olympiad or whatever we call it.
Very nerdy, yes.
Yes, very much. I definitely, even as a kid, loved my little globe and the maps we had at home. And I was just like planning where I want to go and what I want to see and how these maps work. And then, you know, I went on to study mathematics and kind of forgot about this hobby for a bit. And then when I started getting really into science communication and thinking about how to talk about mathematics and what's really cool about mathematics, I kind of remembered about maps. And I started thinking about all these other mathematical properties of maps that we just don't really consider every day.
I personally don't consider and forget about them sometimes.
And that's how MapMatics was born.
Well, I'm trying to think of these other things that you just mentioned that you would not normally think about. Name, name a few of those things.
Yeah, so one of the things that we tend to forget, even though most of us are aware of it, is when you live in a city and you go on a subway, and you look at the map, it's really easy to forget that this map
doesn't care about distances at all. It only shows us different lines and the order of stations on the line. And this is really, really useful for us passengers because we decide which line to take, which stop, how to get from A to B, right?
Right.
But if we use this map, which happened to me in the past, I must admit, when we use this map to walk, for example, or to plan travel time, it might turn out that, you know, even though on map, a distance from A to B and B to C, they look the same. One takes five minutes to walk and another one takes one hour to walk. And the map just, you know, uses space efficiently, doesn't care about that. So it's something that maybe we're aware of, but sometimes it's easy to forget that this map does not represent reality at all.
Yeah, I, I've been in a lot of cities with subway maps. I, I ride the subway almost every week in New York. And then you know what happens? When I get out of the subway station and go on the street, I take out another map, which is on my phone. Right?
Yes, yes.
How has the phone map changed the way we live?
I mean, first of all, we are not carrying around paper maps, which I find a bit sad, but okay, technology is sometimes more useful. But I feel like we don't think about where we are going, about how we navigate, about directions. I actually really loved writing about neuroscience of navigation when I was researching this book, which was a topic completely new for me. And there's a lot of research on how we are just worse at navigating right now, just because we are so used to just clicking a few buttons and following the route, right?
Right. You know, I remember cleaning out my garage and finding some really old maps, car driving maps, and opening them up and just forgetting how wonderful it is to see the giant expanse of where I'm going.
It is, yes. In fact, well, when I first moved to London, which was almost 10 years ago at this point, and I was the weirdo cycling around with a paper map. Because there is something about the physical map that just brings me so much joy. And I feel like I got to know the city way better this way.
After the break, the secret math used to deliver packages to your door.
These are millions and millions of dollars behind these numbers and algorithms.
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Let's zoom out to the coastline. There are so many coastlines around the Earth we live in, right? A watery planet. Why is it so hard to measure a coastline? It seems like with satellite technology, we should have been able to master this challenge, no?
Yes. I mean, everything would be nice and well if coastlines were like smooth lines. But they are not, especially in places like Norway, for example, with all these fjords or Alaska. So, you know, it depends on the scale of the map we are using. Because if you think about the map of the same exact place, but on a larger scale and on a smaller scale, the one of the larger scale will show much more detail, will show all the nooks and crannies, you know, all the little inlets and peninsulas. While the other one just will miss it. So you'll see like a smooth line where there should be many different lines.
And because of that, so the more zoomed in we are, the longer the coastline seems to be. So, you know, we can compare the lengths of coastlines if they're all on the same scale. But it's hard to tell exactly what the length is. I can measure it on one map, you can measure it on a different map, and we'll find different answers.
Right, right, I see what you're talking about. And, and speaking of the coastline, you can't think about the coast, at least I can't, without thinking about the ocean underneath. And one of the most fascinating and unknown places, the ocean floor, right? Why, why is that so much more challenging than mapping the land? Can't we just send down bots or something to map the ocean floor?
I mean, I think, I think we might get there one day, but it's still, you know, the ocean is vast. I think we, we tend to forget how big it is and it's hard to access, right? Now, when it comes to the ocean, first of all, like we have to actually get out there and do some measurements. And also when it comes to satellites, you know, the bottom of the ocean is covered by water, surprisingly. So you still can get some, some good information, but it's not as detailed as we would want it to be. So yes, you will catch like underwater mountains and this kind of stuff, but we'll miss the small things.
And it's really important to know them, especially as we are, you know, developing, for example, wind farms and kind of thinking about protecting the oceans. And we actually, up to like the middle of the, the last century, we had no idea that there is something on the bottom of the ocean. People always thought that it's just flat. There's a 2030 project to map the bottom of the ocean. I don't think we are getting there, although we are making some great progress.
You know, you reminded me just now of the first experience as a student. I remember where maps were combined with mathematics. And that was what we used to call the traveling salesman problem. What is the most efficient way you can go to like five cities without hitting them twice? Is that kind of stuff still in use?
Oh, yes. I mean, have you have you recently ordered a package?
Oh, who hasn't, right?
Exactly. And it's a I think it's a little miracle that these packages actually arrive to our door. Because, think about it, the logistics of huge delivery companies to make sure that all the packages arrive to the recipients in as efficient time as possible is insanely difficult. And it's exactly a travelling salesman problem for each of the delivery drivers. The thing is that it changes every single day, because it's not that all the same people are ordering packages every day to the same destinations, right? And if you've ever seen a delivery driver, they are like proceeding really fast. They have no time to waste.
Yeah.
So every minute matters. So that's why companies, you know, like FedEx, like UPS, their success depends on the algorithms they use. Because the less time they waste, the more packages they can deliver and the faster they can deliver them. So they have, all of them have many mathematicians and scientists working out, you know, taking a map and working out how to schedule the drivers, how to how to plan their routes and how to do it fast. And it's a it's a very mathematically complicated problem. And it's impossible to solve. We cannot find like the best route. We have to find like
route that's good enough. And because of that, all these results are top secret, like it's impossible to find out.
Oh, is that right?
Yeah, it's I was trying to, but there, you know, some papers out there, but I didn't manage. I mean, I managed to piece something together, but makes sense.
Yeah, it's a trade secret.
Yeah, these are millions and millions of dollars behind these numbers and algorithms.
Yeah. Now that you've written so much about maps, are there any maps that drive you nuts when you see them? Ones that are particularly poorly designed?
Yeah, so so a general category of these maps is if there's too much on a map. I find I want a map to show me one thing and not try to show every single thing. But also, there are some maps, especially I see them. Around elections or whenever we are showing some kind of data on a map, that they really misrepresent the numbers. So when you think about, for example, election maps, we often see the map, you know, each state is either red or blue.
The thing is that this really suggests that the area of a state, how big the state is, is the same thing as how many people voted for the candidate, right? And I'd rather see these maps to be designed in a way that the number of votes is proportional to the area. So kind of like a skewed geographical map, right? So, you know, that's not the only map that annoys me.
Well, do you have one that's favorite, that you really like?
Do I have a favorite map? I mean, honestly, I come back to the very old map of, this is a famous National Geographic world map that shows also the geography of the bottom of the oceans. And I find it, it's beautiful. It was actually, there's fantastic science behind it and a great artists behind it. And it's just, every time I look at this map, it reminds me like why, why maps are worth looking at and using. And I don't want them to be fully replaced with outline maps that are useful but not as pretty. Let's face it.
Is that the one where they've taken the water away and you can see the bottom?
Yes, yes, that's exactly the one. Yeah, it's beautiful.
Well, thank you so much for taking time to be with us today. And thank you for the book. It's a terrific book.
Thank you so much for having me. And I always love to speak about maps and math. So anytime.
Yeah, I think you can tell I do also.
So good luck, good luck to Dr. Paulina Rovinska, mathematician, writer, science journalist, and author of the book, Mapmatics: How We Navigate the World Through Numbers. She's based in New York City. And is there a map that you love? Professional, homemade, beautiful, bizarre? We want to know about the maps that make you see the world in a new way, or they just make you smile. So please, share your favorite map with us. Go to sciencefriday.com/maps. sciencefriday.com/maps.
This episode was produced by Soshana Buxbaum. I'm Ira Flatow. Thanks for listening.
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