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Mapping Love: Celebrating Valentine’s Day by Creating Infographics

Happy Valentine’s Day! What better way to celebrate than with new maps (and creating infographics) about love? This year we’ve hunted for romantic data for Canada and the United States and visualized it all for you using MAPublisher 10.3 and Adobe Illustrator.

The first map shows all the most romantic locations (at least as their names suggest) in Canada. This information was provided by Stats Canada. Using the MAPublisher Point Plotter, it was easy to plot all of the locations!

The best part about using the Point Plotter is you can choose any symbol available in your symbol library to mark the points. I chose the symbol that I wanted (a Valentine’s map marker–how adorable!) and then plotted each location simply by using the town’s name and province.

Canadian Point Plotter - MAPublisher

After adding some text and symbols in keeping with the theme, the map was ready to go! You can check out the PDF below, or, you can download the georeferenced version from the Avenza Map Store, for use in the Avenza Maps app

Romantic Places Map made with MAPublisher

 

Moving on to my infographic – which is a popular and engaging way to illustrate statistics and small amounts of data that might otherwise be overlooked. I found data from the United States covering a variety of Valentine’s Day topics. The plan is for my infographic to include two maps and two additional charts. The first map illustrates the average wedding cost by state, and the second map shows popular proposal locations.

For the average wedding cost per state map, I used a MAP Theme to colour all the states appropriately (and quickly!). The benefit of using a MAP Theme is that you can apply a theme to multiple layers at once. Since Hawaii and Alaska were projected separately from the mainland of the United States, they exist in different layers on the artboard. Using a MAP Theme made it easy to include them in the colour scheme of the map.

MAP Themes - MAPublisher

On the second map, I want to map the most popular proposal locations in the country. I used the MAP Point Plotter tool again, but, this time, I used the latitude and longitude to plot the points because some of the locations could not be plotted by name alone. It’s very beneficial to be able to swap between the two options!

USA Point Plotter - MAPublisher

My maps are complete, and after adding two graphs (made using the graphing tools in Illustrator) containing even more fun Valentine’s day data, and some love-ly symbols, the entire infographic was finished. You can check out the completed infographic below!

Valentine's Day Infographic made with MAPublisher


About the Author

Rebecca Bennett is a member of the Marketing Team at Avenza Systems and loves making creative and visually appealing maps.

It’s #NationalColdCutDay, So Here’s a Subway Subway Map of Toronto

March 3rd is National Cold Cut Day… so happy #NationalColdCutDay to you! Cold cuts have been around for more than 2,000 years and today, it is so ubiquitous that any populated place with a market or grocery store stocks it. Even more so, the up-rise of fast food provides the convenience of someone making a cold cut sandwich for you (even better!). Recently, we came across a subreddit called /r/subwaysubway – a collection of subway-style maps of Subway® sandwich restaurants. While most cities boast several dozen Subway locations, Toronto, ON has the density and population to support more than 200. So in honour of National Cold Cut Day, we’re going to create a Subway subway map of Toronto with some of our favourite mapping tools. While this is only meant to be a light-hearted project and not an authoritative source of all Subway locations, please forgive us if we missed a few locations. That said, we used some available web tools in combination with MAPublisher to create a mapping workflow that might inspire you to create your own Subway subway map.

Finding Subway locations

Finding all (most) of the Subway shops was easier said than done. A combination of several sources were used to achieve this. We used the MAPublisher feature called Find Places to scan areas of Toronto to search and import the Subway location point data. This task was performed several times, simply because of the high density of Subway locations in Toronto. In addition, the source provides useful attribute data including name, address, and neighbourhood fields that will be useful for labeling (more on that below).

MAPublisher Find Places - Subway locations

To verify these locations, we also used a web tool called overpass turbo that has some handy tools to build a query that searches OpenStreetMap and filters data that can be easily exported. We simply exported the queried locations as a KML file and used MAPublisher to import it. Unfortunately, these locations did not include any attribute data, however, there were several points included that the MAPublisher Find Places tool missed. We then searched Google Maps and the Subway website to verify several addresses that were missing in the attribute data. Again, we probably missed some locations, but this is supposed to be fun, right?

Overpass Turbo Subway query

With most of the sourcing completed, we end up with a map that looks like the one below. All the Subway restaurant locations can now be considered subway stations. We also used a Toronto boundary layer and streets layer from Open Data Toronto that was transformed to use a projection of NAD 83 / UTM Zone 17N with a -18 degree rotation at approximately 1:65,000 scale. The boundary and streets layer won’t be used in the final map, but helps when navigating the map, especially if you’re (un)familiar with the city.

Subway location imported into MAPublisher

Converting to a subway style map

Using a very liberal amount of cartographic license, we created MAP line layers and used the Adobe Illustrator pen tool to connect Subway locations to what felt natural based on knowledge of the city including following major roads, existing transit corridors, geography, and neighbourhoods. The downtown core was the most difficult to connect as it was densely populated with Subway shops (almost one at every major intersection — impressive), although it loosely represents the grid layout that the downtown core is actually based on.

After some quick connections, we created a MAP Theme to style for the Subway points layer. We created two styles: one for regular stations and one for interchange stations – where our fictional subway riders (eaters?) can transfer to another line. To mark stations as an interchange, we created a new boolean attribute that designates it as true or false. If the rule is true, then it uses a Interchange symbol to denote it as an interchange.

Station stylesheet

Once we felt like we had a solid coverage with interconnecting lines, we copied the Adobe Illustrator document to a new one, hid the boundary and street layers, and began the task of converting it into a styled subway map. For simplicity, we used a typical orthogonal method that employs lines at any multiple of 45 degrees. Needless to say, this took some time and patience as there are many points to align, nudge and decipher. This is where having the geographically accurate map, some of the online maps, and other sources to refer to was very handy.

Styled Subway Map

Compare it to the geographic version (some lines and points may have been moved or redone during the conversion to follow the orthogonal method).

Geographic station map

Labeling shouldn’t be tough, right?

We decided to use MAPublisher LabelPro, an intelligent and obstacle-detecting labeling engine, to label the subway stations because there are so many of them. With a little bit of setup, it can label the entire map in just a few seconds. Using the same rule used to designate stations as an interchange, we created two styles for the labels using the label filter. Interchange stations are slightly larger and have a bold font. We designated the label source to use the attributes from the Subway point layer, in this case, a neighbourhood name. Lastly, we designated the lines as obstacles so that LabelPro can detect whether a label will interfere with them or not.

Using MAP LabelPro to label stations

We also configured placement rules so that the stations have a preference to be labeled at bottom and top, and then at positions around the point if the first two aren’t possible. In addition, we specified a label offset so that the labels are placed more evenly without too much fine-tuning afterwards.

Station point rules

After LabelPro placement and some manual tweaking, the result is a cleanly labeled map. Here’s a detailed view.

Detailed station labels

While the neighbourhood attribute was unique in most cases, some dense areas such as downtown Toronto had station names repeat itself. In these instances, we relabeled them with its street name, a nearby landmark or park. This may not be the most accurate, but it was fun to come across neighbourhoods or areas we’ve never heard of and it allowed us to learn more about our own city.  Another great source to use was this Toronto neighbourhood map that allowed us to quickly verify which neighbourhood a particular Subway sandwich was in.

While we’re sure there are probably many more tweaks to make to this map and more stations to add, here’s our take on the Subway subway Map of Toronto. Make sure to click the links below to see the high-res PDF versions.

Toronto Subway subway map

Click to see the high-resolution PDF version

And in the spirit of traditional Toronto Transit Commission (TTC) maps, here’s one with a black background.

Toronto Subway subway map TTC style

Click to see the high-resolution PDF version

Additional resources