In November 2022, I took part in the #30DayMapChallenge, a month-long challenge to create original geospatial maps. Each day presented a new theme, and I used R to create all my maps around these themes. This was a fun experience, and I learned so much about working with geospatial data in R! I’ve included all my maps, along with a brief description of the data used for each map, below! All maps and corresponding code can be found on my GitHub.


1. Points

Locations of business establishments with a restaurant license in Philadelphia.

Data: Philadelphia base map and license data - OpenDataPhilly


2. Lines

Nonstop domestic flights originating at Philadelphia International Airport (PHL).

Data: Flight and airport data from anyflights R package


3. Polygons

Number of Dunkin’ locations in Massachusetts counties.

Data: Location data pulled from Dunkin’ website


4. Color Friday - Green

Heritage trees that are exclusively native to Ireland planted across the country.

Data: Ireland National Biodiversity dataset | accessed via data.gov.iv (survey conducted in 2009)


5. Ukraine

Topographic elevation map of Ukraine.

Data: Elevation data queried using elevatr R package


6. Network

Station ridership throughout the day across the Boston MBTA subway network.

Data: Station ridership by time period data obtained from MBTA Massachusetts Department of Transportation open data portal


7. Raster

Topographic elevation map of Connecticut.

Data: Elevation data queried using elevatr R package


8. Open Street Map

Streets of central London.

Data: Streets queried using osmdata R package for accessing OpenStreetMap data


9. Space

Population in U.S. cities plotted as though viewing lights from space.

Data: City locations and corresponding populations accessed via ArcGIS Hub


11. Color Friday - Red

Percent of population with each blood type across the world.

Data: Blood type by country data from World Population Review


14. Hexagons

Popularity of the search term “hexagon” on Google for each U.S. state.

Data: Google trends


15. Food/Drink

Average annual consumption of coffee in Scandinavia and the Baltic States, measured in thousands of 60-kg bags of coffee.

Data: International Coffee Organization


16. Minimal

A minimal street map of the medieval old town in Tallinn, Estonia.

Data: Streets queried using osmdata R package for accessing OpenStreetMap data


18. Color Friday - Blue

Rivers in Iceland.

Data: Rivers queried using osmdata R package for accessing OpenStreetMap data


23. Movement

Movement of whale sharks in the Gulf of Mexico.

Data: Whale shark movement data from movebank.org


25. Color Friday - Two Colors

Mapping designated green space in Singapore, which has been nicknamed the Garden City!

Data: Green spaces queried using osmdata R package for accessing OpenStreetMap data


26. Island

My first rayshader adventure, plotting elevation on the islands of Maui and Kaho’olawe.

Data: Elevation data queried using elevatr R package


27. Music

Venues with live entertainment permits in New Orleans, Louisiana.

Data: Venue location data from City of New Orleans Open Data


28. 3D

Using rayshader to plot Aurlandsfjord in Norway.

Data: Elevation data queried using elevatr R package


30. Remix

A remix of my network map from day 6, mapping the Boston MBTA subway network using Open Street Map.

Data: Subway routes and streets queried using osmdata R package for accessing OpenStreetMap data

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© 2022 Helen Schmidt