# Sample Maps

[Elevation data “hexified” by an Unfolded's data pipeline to H3 hexagons with smoothing](https://studio.foursquare.com/map/public/30504078-cc24-454b-bcc7-a9cf7b0d21b7)

[Global population density map aggregated using H3 hexagons at resolution 5. Each hexagon is approximately 10 km in diameter. Dataset is provided by Kontur.io](https://studio.foursquare.com/map/public/605c6570-0d99-4dba-8659-a3ea1f4684f1)

[Using the power of H3, we combine Census block level population data with building footprints to calculate population density and demographics for each building in the U.S.](https://studio.foursquare.com/map/public/859ee1e4-864f-4dc2-83a8-c891089a0f86)

[300 million acres of farmland in the United States, with crop health and farming practices overlays from the Indigo Atlas Technology Platform.](https://studio.foursquare.com/map/public/9c0dd217-7e2b-4215-8a04-dfbf16b85914)

[The density of human settlements, agriculture, transportation, mining and other activity across the Earth at 1 square-kilometer resolution.](https://studio.foursquare.com/map/public/a21a7817-070d-4f76-9dca-4408458276ad)

[Example map with Landsat 8 raster data](https://studio.foursquare.com/map/public/a7d036dd-c1f7-45a9-809d-a6f134e77fb4)

[Median 2017 household income for US counties. This map uses the join functionality to link county geometries to survey results](https://studio.foursquare.com/map/public/b80069c4-c7d9-46eb-9bf3-b7118867ddba)

[Cluster outlier analysis on the Melbourne real estate market.](https://studio.foursquare.com/map/public/d0b2eda5-5f32-4792-8eea-63d1a6952de8)

[Using Raster Tile layer with NAIP data from 2018-2019 over rural Nevada.](https://studio.foursquare.com/map/public/e690eacc-6e07-4d7e-a347-7391993c1bb7)

[Refugee resettlement by country of origin and asylum location, from 1960 to 2019](https://studio.foursquare.com/map/public/e91ecef8-68ee-493d-b4e9-1e31274ebba0)

[Two hours of flight trajectories collected by OpenSky Network](https://studio.foursquare.com/map/public/ecca7b08-4d00-47e5-a3c9-44a146311531)

[Building footprints in San Francisco, colored by ground elevation](https://studio.foursquare.com/map/public/f72cdbd9-51dd-4517-9b2f-a08bab810afc)