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GeoArrow (Apache Arrow)

Open Beta

.arrow · application/vnd.apache.arrow.file

GeoArrowは、Apache Arrowをベースとした地理空間データ向けのカラムナフォーマットです。ビッグデータ解析、MLパイプライン、可視化に最適です。DuckDB、Pandas、Polarsなど、Arrow互換のツールで動作します。

今すぐGeoArrowをエクスポート ✨ オープンベータ — 無料、制限なし

主な機能

✓列指向ストレージ

✓ゼロコピー読み込み

✓Arrowエコシステムと互換

Example GeoArrow export (central Moscow, 1x0.5 km) — Example: central Moscow, ~1×0.5 km, medium detail

GeoArrowフォーマットについて

Apache Arrow is the standard for representing tables in memory: columns lie contiguously, the schema is described explicitly, and different programs read the very same bytes without copying or re-encoding. GeoArrow is the agreement on how to store geometry inside that structure so that GeoPandas, DuckDB, Polars, deck.gl and GDAL understand it.

The format is taken when data is not displayed but computed: spatial joins over millions of features, feature preparation for a model, a dashboard on top of a columnar engine. At those volumes, parsing text GeoJSON eats more time than the analysis itself.

The output is a single .arrow file (Apache Arrow IPC, also known as Feather v2). All the layers are merged into one table, and every row has a layer column with the name of its source layer. Geometry is stored as a binary column in WKB format, and the WGS84 (EPSG:4326) coordinate system is described in the schema metadata per the GeoArrow 1.0.0 convention.

By default the file is compressed with the zstd codec; you can choose lz4 or no compression at all. There is a safety limit of 10 million features per export, so as not to eat up the server's memory.

GeoArrowファイルを開けるプログラム

次のプログラムおよびアプリケーションは、OSM2CDRからエクスポートしたGeoArrow (Apache Arrow)（.arrow）ファイルを開き、編集し、利用できます：

💻DuckDB 💻Apache Arrow 💻Pandas 💻Polars 💻GeoPandas

Format specifications

Open standard
3D coordinates supported
Lossless (no quality loss)
Stores feature attributes
Output: 1 file
GeoArrow .arrow (Apache Arrow extension). In-memory columnar geometry, zero-copy interop with pandas, R, Julia.

GeoArrow地図を利用するユーザー

🏗

ビッグデータ分析

Millions of features are read by an analytical engine with no text parsing.

💻

ML パイプライン

Ready spatial features for training models — straight away as a table.

📊

列指向解析

Queries on individual columns run faster than on row-based formats.

🎨

ビジュアライゼーション

A source for lonboard and deck.gl, which draw Arrow tables directly.

🗺

科学計算

The same file is read by Python, R and Julia — exchange between teams with no conversion.

GeoArrowのエクスポート方法

範囲を選択

osm2cdr.ruのインタラクティブ地図上で長方形またはポリゴンを描画します

GeoArrowを選択

利用可能な127種類のエクスポートフォーマットの一覧からGeoArrow (Apache Arrow)を選択します

エクスポート

「エクスポート」をクリックすると、1〜5分で.arrowファイルを受け取れます

ダウンロード

完成したGeoArrowファイルをダウンロードし、DuckDBで開きます

エクスポート後の開き方

Python — pyarrow.ipc.open_file("map.arrow").read_all() gives you the table; the geometry is restored from the WKB column with shapely.from_wkb or geopandas.
DuckDB — INSTALL spatial; LOAD spatial; then SELECT * FROM 'map.arrow' and ST_GeomFromWKB on the geometry column.
Polars and pandas — pl.read_ipc("map.arrow") or reading through pyarrow: the attribute part works like an ordinary table, with no geo wrapping.
R and Julia — the arrow packages read the same file: it is one format across all languages, no conversion needed.
Visualization and GIS — lonboard and deck.gl draw Arrow tables directly; for QGIS it is easier to convert to GeoPackage with ogr2ogr (GDAL 3.8 and newer).

GeoArrowの人気地図

フリー