MoAm is an over-ambitious hobby project, and it is not science. It puts Earth's resources and Earth's people on one map and lets you look at the gap. Nothing here forecasts, recommends, or ranks anything — it is arithmetic on open data, shown honestly.
Every layer is poured into the same hexagonal grid (Uber's H3, resolutions 3 and 4 — cells of roughly 100 km and 40 km across). Population is summed per hex; solar potential and crop fraction are averaged. One deliberate rule — the equality principle — applies throughout: no region is ever shown at finer resolution than any other, even where finer data exists. The map is drawn on the Equal Earth projection, which preserves relative areas — a map about distribution should not inflate the rich north.
The headline number is the share of land hexes that hold half of all people, counted directly from the grid. "The average human's sunshine" weights each hex's solar potential by the people living there, then asks where that value ranks among all land hexes. Same for cropland. That's it — no model, no projection, no opinion.
Fully static — no server, no accounts, no tracking. Offline Python pipeline (rasterio · NumPy · H3) → hex JSON → TypeScript canvas renderer (d3-geo Equal Earth, H3, topojson). Type set in Inter and IBM Plex Mono. Built by one human with an over-ambitious streak, and Claude. Raw data is date-stamped and kept as obtained; a missing citation is treated as a bug.