Day 1: Points | Stewart's locations relative to population density (by county) across New York and Vermont.

Day 12: Time and space | A REM (relative elevation model) of a section of the upper Brazos River in north-central Texas. Like many waterways, the course of the Brazos was forever altered by the construction of dams in the mid-1900s. Inspired by John Graves' "semi-historical" novel, Goodbye to a River, and constructed following Daniel Coe's REM tutorial: https://dancoecarto.com/creating-rems-in-qgis-the-idw-method

Day 4: Hexagons | Aggregated incidents from Vision Zero Boston of bicyclists hit by vehicles from 2015 to 2023. Each hexagon shows aggregated crash points within a quarter-mile radius of the center point. The sole yellow hexagon encompasses crashes in the Commonwealth Ave-Route 2A intersection area.

Day 13: A new tool | Thiessen polygons generated around Trader Joe's store locations throughout the northeastern U.S. Lines separating polygons denote "watersheds" around each store location (i.e., nearly the entire state of Maine is closest - as the crow flies - to the Portland, ME store). Darker-colored polygons indicate greatest area (in square miles) served by the store in that polygon.

Day 2: Lines | 10-meter contour lines showing the elevation profile of Mt. Greylock, the highest point in Massachusetts at 3,491'.

Day 3: Polygons | Every building footprint in the state of New Jersey sourced from the USGS National Structures Dataset (NSD). NJ is the most densely-populated state at 1,263.2 people per square mile as of 2023.

Day 10: Pen and paper | It's Brie the tripod cat's world and we're all just living in it.

Day 11: Arctic | Fratercula arctica (Arctic puffin) sightings from the year 2000 onward. Mapped as individual points (above) and clustered (right). Largest clusters represent 13,000+ observations for that area. Map projection is the North Pole-centric Peirce quincuncial.

Data from the Global Biodiversity Information Facility: GBIF.org (18 November 2024) GBIF Occurrence Download https://doi.org/10.15468/dl.hahyum

Day 14: A world map | Roads around the world included in the Global Roads Inventory Project (GRIP) database. Road types include highways, primary roads, secondary roads, tertiary roads, and local roads.

Day 8: HDX | Maps showing satellite-detected changes in cropland areas of the Gaza Strip resulting from the decline in the health and density of crops from 2017 to 2023 and 2024. Data from UNOSAT sourced from the Humanitarian Data Exchange.

Day 9: AI only | An AI-generated "map of Stewart's Shops locations in New York and Vermont." Thanks, Bing AI.

Day 5: A journey | A simple greyscale map of the Vermont Super 8, a 650-mile figure-eight bikepacking route that starts and ends in Montpelier. I completed the north lobe (highlighted on the map using my own .gpx track) as my 2nd ever bikepacking ultra-race, riding 270 miles and climbing 27,000' over the course of 38 sleepless hours in September 2024.

Day 7: Vintage style | A map showing current Amtrak routes that connect to Chicago, Illinois using a custom basemap created using the ArcGIS Vector Tile Style Editor.

Day 6: Raster | "Paper cut" style contours of Lake Champlain using stitched elevation rasters from NASA JPL's 30-meter SRTM tile downloader.