Spatly for researchers
A research dataset is often the finding, but a table of coordinates does not travel. Spatly turns a GeoJSON, a CSV or a feature service into an interactive map you can style by any field, filter, animate over time and publish, so the spatial pattern in the data becomes something a reader can explore rather than take on faith.
Classify by quantile or natural breaks, size points by a measure, extrude polygons into 3D where the range is large, and step a time filter to show change. Sources and licences sit on the page, and every chapter or view deep-links, so a citation points at exactly the state you mean. Publish the map for a paper's supplementary materials, or embed it on a lab site. The example below is a real published Spatly story on the global record of meteorite landings.
Where meteorites fall, a story on 45,716 catalogued landings. A real published Spatly surface, not a screenshot.
Three things this team ships with Spatly
An explorable dataset map
Publish your data as a styled, filterable map so reviewers and readers can interrogate the spatial pattern themselves.
A time animation
Step a time filter across the data to show change, with the slider position saved as part of each map beat.
A deep-linkable figure
Every chapter and view has a stable link, so a citation or a caption can point at the exact state you describe.
Spatly for researchers.
Start from a basemap and a file, or open a story template and take it apart. No credit card to publish your first surface.
41.0082°N 28.9784°E · z 11.3 · ⟂ 0°