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.
Locations of business establishments with a restaurant license in Philadelphia.
Data: Philadelphia base map and license data - OpenDataPhilly
Nonstop domestic flights originating at Philadelphia International Airport (PHL).
Data: Flight and airport data from anyflights
R package
Number of Dunkin’ locations in Massachusetts counties.
Data: Location data pulled from Dunkin’ website
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)
Topographic elevation map of Ukraine.
Data: Elevation data queried using elevatr
R package
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
Topographic elevation map of Connecticut.
Data: Elevation data queried using elevatr
R package
Streets of central London.
Data: Streets queried using osmdata
R package for accessing OpenStreetMap data
Population in U.S. cities plotted as though viewing lights from space.
Data: City locations and corresponding populations accessed via ArcGIS Hub
Percent of population with each blood type across the world.
Data: Blood type by country data from World Population Review
Popularity of the search term “hexagon” on Google for each U.S. state.
Data: Google trends
Average annual consumption of coffee in Scandinavia and the Baltic States, measured in thousands of 60-kg bags of coffee.
Data: International Coffee Organization
A minimal street map of the medieval old town in Tallinn, Estonia.
Data: Streets queried using osmdata
R package for accessing OpenStreetMap data
Rivers in Iceland.
Data: Rivers queried using osmdata
R package for accessing OpenStreetMap data
Movement of whale sharks in the Gulf of Mexico.
Data: Whale shark movement data from movebank.org
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
My first rayshader
adventure, plotting elevation on the islands of Maui and Kaho’olawe.
Data: Elevation data queried using elevatr
R package
Venues with live entertainment permits in New Orleans, Louisiana.
Data: Venue location data from City of New Orleans Open Data
Using rayshader
to plot Aurlandsfjord in Norway.
Data: Elevation data queried using elevatr
R package
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