With each data release, Overture publishes a changelog that capture changes in the data from the previous release to the current release. This information can be used to guide decisions about data matching, better understand data stability, and help detect data errors.| docs.overturemaps.org
Citation, attribution, and licensing information for Overture data sources, data products, and visualizations created with Overture data| docs.overturemaps.org
Overture's Python command-line tool helps you download data within a region of interest and converts it to several common geospatial file formats. This example shows how to use the tool to download Overture's land cover data in a Jupyter notebook.| docs.overturemaps.org
DuckDB is powerful analytics tool that allows you to query remote files and download only the data you want. You'll need to install at least DuckDB 1.1.0, which supports reading and writing geoparquet.| docs.overturemaps.org
Overture data is accessible through the Snowflake Data Marketplace via public listings published and maintained by CARTO. Below is a step-by-step guide on how to access and use the data:| docs.overturemaps.org
Fused is a cloud analytics platform to process data with User Defined Functions (UDFs). UDFs are reusable Python functions that can be invoked from anywhere. The Fused Overture UDF enables you to quickly load Overture data, perform operations like joins with other datasets, visualize results directly on your browser, and integrate smoothly with data tools.| docs.overturemaps.org
Overture data is accessible through the Databricks Marketplace via public listings published and maintained by CARTO. Below is a step-by-step guide on how to access and use the data:| docs.overturemaps.org
Overture data is accessible in Google BigQuery as part of the Google Cloud Public Dataset Program, with the data being listed and maintained by CARTO.| docs.overturemaps.org
Data stories from the Overture Maps engineering team| docs.overturemaps.org
The Global Entity Reference System (GERS) is a framework that structures, encodes, and matches map data to a shared universal reference within Overture. GERS, coupled with Overture datasets, is a potential standard for identifying and referencing the physical and conceptual entities we've defined in our world, such as office buildings, grocery stores, forests, countries, rivers, museums, capitals of provinces, and mailing addresses.| docs.overturemaps.org
