Uber H3 Hexagonal Index (beta)
Open BetabetaH3는 Uber의 계층적 육각형 공간 인덱스입니다. 각 지도 객체가 요청한 해상도의 H3 셀로 집계되며, 워커 이미지가 h3>=4.0으로 재빌드되면 실제 H3 인덱스가 담긴 JSON을 내보냅니다. 그 전까지는 익스포터가 오류를 그대로 반환합니다 — 더 이상 fallback_7_7690_5336과 같은 합성 문자열을 생성하지 않습니다.
주요 기능
H3 형식 소개
H3 is a hexagonal indexing system for the Earth invented at Uber: the planet is split into hexagonal cells across fifteen levels of nesting, and every cell has its own short identifier. Hexagons are more convenient than squares in analytics: a cell has six neighbors at the same distance, so density is not distorted along the diagonals.
The export is what you need when the features themselves matter less than their distribution: how many cafes fall into a cell, where development thickens, how to compare districts with each other. The H3 index is the common denominator to which any map layer and your own data are reduced alike.
The output is a single .json with the H3IndexCollection structure: the resolution, the extent of the area and a list of cells. Every cell carries a real H3 index, the total number of features that fell into it and a breakdown by layer; on request the cell's boundary is added as a GeoJSON polygon. The resolution is set from 0 to 15, with seven by default — a cell with an edge of about 1.2 km, convenient at city scale.
The export is built honestly: indexes are computed by the h3 library version four and newer. If it is missing from the environment, the export returns an error rather than made-up placeholder strings — that mode existed before and was misleading. Features are assigned to cells by their centroids, and the limit is 500,000 features per export.
H3 파일을 여는 프로그램
다음 프로그램과 애플리케이션으로 OSM2CDR에서 내보낸 Uber H3 Hexagonal Index (beta)(.json) 파일을 열고 편집하고 작업할 수 있습니다:
Format specifications
- Open standard
- 2D only
- Lossy compression
- Stores feature attributes
- Output: 1 file
- Uber H3 hexagonal index aggregation as a single JSON file. Each record is an H3 cell ID + feature count (optional GeoJSON hex boundary). Resolutions 0-15, default 7.
H3 지도 사용자
H3 내보내기 방법
내보낸 뒤 여는 방법
- Python — read the JSON, then use the h3-py library: h3.cell_to_boundary gives the cell outline, h3.grid_disk gives the neighbors, and pandas assembles the summary tables.
- deck.gl — the H3HexagonLayer takes indexes directly, so a density map is built without creating polygons first.
- Kepler.gl — load a table with a column of indexes and pick the H3 layer type: an interactive heat map comes together in a couple of clicks.
- QGIS (free) — if the export was made with cell boundaries, the polygons from the file attach as a layer and are colored by feature count.
- Databases — the H3 index makes a convenient join key against your own tables: ClickHouse has H3 functions built in, and PostgreSQL has the h3-pg extension.
H3 형식의 인기 지도
Uber H3 Hexagonal Index (beta) 지도 내보내기 받기
OpenStreetMap에서 전문가용 H3 지도를 다운로드하세요. 즉시 생성, 모든 영역 지원.