Old maps, new stories.
Read dates, preserve historical labels, and compare vintage maps without turning visual differences into unsupported claims.
READ THE FIELD GUIDE · 7 MINJOURNAL TAG / City dataMAKE THE LAYER
MAKE THE LAYER
MEAN SOMETHING.
4 field guides for a clearer view of city data.
A city layer needs more than coordinates. It needs stable identifiers, clear attributes, source notes, and a definition of what an unknown value means. The guides here explore those foundations alongside source-aware map reading, historical labels, and reviewable AI interpretation. Together they help turn a collection of features into information another person can inspect.
Begin with the city mapping workflow for a structured neighborhood example. Use the map-reading guide to test the visual explanation and the vintage article when older sources enter the project. The AI guide adds a way to preserve original material while reviewing suggestions. Keep the collection’s purpose and coverage visible: a cluster of recorded points may reflect the way the data was gathered rather than a complete picture of the city or a verified absence elsewhere.
Map your world.
Choose a basemap, understand its symbols, and turn a geographic overview into a clear, useful decision.
READ THE FIELD GUIDE · 7 MIN
Maps meet machine thinking.
Give AI a specific job, preserve the original sources, and keep every proposed geographic interpretation reviewable.
READ THE FIELD GUIDE · 7 MIN
Read your city.
Organize points, lines, attributes, and source notes into a city map that another person can understand and maintain.
READ THE FIELD GUIDE · 7 MIN