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Managing Large Geospatial Datasets Locally with DuckDB and the Spatial Extension Introduction Large geospatial datasets can expose the limitations of conventional desktop GIS workflows. Opening a multi-gigabyte vector file may involve parsing geometry, decoding attributes, building rendering structures, and loading data into memory before an analyst can begin meaningful exploration. When a project contains millions … Read more

Extracting Building Footprints from Aerial Imagery Using OpenCV and Python 1. Introduction Mastering the fundamentals of extracting building footprints OpenCV Python offers a practical way to automate part of the building-mapping workflow before investing in deep learning models. Extracting building footprints with OpenCV and Python GIS tools offers a practical way to automate part of … Read more

Spatial Window Functions and Recursive CTEs in PostGIS Introduction Complex spatial analysis in PostgreSQL rarely requires abandoning SQL for procedural code. By combining PostgreSQL’s analytical SQL features with PostGIS geometry functions, it is possible to build sophisticated workflows for trajectory analysis, spatial hierarchies, network-like traversals, and sequential geographic processes entirely inside the database. Two SQL … Read more

Automated Metadata Generation and ISO Standards Compliance with Python 1. Introduction Mastering Automated Metadata Generation Python scripts helps organizations transition from manual documentation to automated spatial data governance. Spatial data pipelines frequently produce valuable datasets without producing the metadata needed to understand, maintain, discover, or reuse them. A workflow may generate a road network, a … Read more