GeoDataAccess.jl

A Julia package for collecting geospatial data from multiple public APIs. It provides a unified interface across weather, hydrology, seismology, air quality, and more — with built-in caching and GeoInterface.jl integration for flexible spatial queries.

Data Sources

Source	Type	Coverage	Resolution	API Key
OpenMeteoArchive	Raster (ERA5)	Global, 1940–present	Hourly/Daily, 25 km	No
OpenMeteoForecast	Raster	Global, 16-day forecast	Hourly/Daily, 9 km	No
NOAANCEI	Station-based	Global stations, 1763–present	Daily	No
NASAPower	Raster	Global, 1981–present	Daily, 55 km	No
TomorrowIO	Raster	Global, 2000–present	Hourly/Daily, 4 km	Yes
VisualCrossing	Raster	Global, ~50 years	Daily/Hourly, 1 km	Yes
USGSEarthquake	Event-based	Global catalog	Event-based	No
USGSWaterServices	Station-based	US, 1.5M+ sites	Daily/15-min	No
OpenAQ	Station-based	Global, 11K+ stations	Hourly/Daily	Yes
NASAFIRMS	Event-based	Global, near real-time	375 m / 1 km	Yes
EPAAQS	Station-based	US stations	Hourly/Daily	Yes
LandfireSource	Raster	CONUS, AK, HI	30 m	No (email)
NOAAGFS	Raster (GRIB2)	Global, forecast	0.25° (~25 km)	No
ERA5	Raster (NetCDF/GRIB)	Global, 1940–present	0.25° (~25 km)	Yes

Installation

using Pkg
Pkg.add("GeoDataAccess")

Quickstart

The core workflow is: create a DataAccessPlan, inspect it, then fetch to download the data.

using GeoDataAccess
using GeoDataAccess: DataAccessPlan, fetch, OpenMeteoArchive
using Dates

# Create a plan: hourly temperature and precipitation for NYC
plan = DataAccessPlan(OpenMeteoArchive(), (-74.0, 40.7),
    Date(2024, 7, 1), Date(2024, 7, 3);
    variables = [:temperature_2m, :precipitation],
    frequency = :hourly)

# Execute the plan — returns file paths to cached data
files = fetch(plan)

Or skip the plan and call fetch directly on a source:

files = fetch(OpenMeteoArchive(), (-74.0, 40.7),
    Date(2024, 7, 1), Date(2024, 7, 3);
    variables = [:temperature_2m, :precipitation],
    frequency = :hourly)