2 Repos
Computation of summary metrics and aggregations across geographic features and layers.
Distinct from Array Statistical Aggregations: Shortlist candidates are for network traffic or general arrays, not for geographic feature attribute aggregation.
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Mapshaper is a tool for processing, simplifying, and converting geographic vector data, available as a command-line interface, a web browser tool, and a Node.js library. It functions as a coordinate projector, vector data converter, and web map asset optimizer designed to transform spatial datasets between different coordinate reference systems and file formats. The project is distinguished by its topology-preserving geometry simplification, which reduces vertex counts while maintaining shared boundaries to prevent gaps and overlaps. It further optimizes assets for the web through coordinate
Computes summary values like sum, mean, or median across geographic features or layers.
Leafmap is a Python geospatial visualization library designed for creating interactive maps and performing geospatial analysis within Jupyter environments. It provides a comprehensive set of tools for building interactive map interfaces, browsing and visualizing SpatioTemporal Asset Catalog items, and connecting to PostGIS databases for spatial data rendering. The project distinguishes itself through a backend-agnostic rendering system that allows users to switch between different mapping engines while maintaining a consistent API. It features specialized capabilities for Cloud Optimized GeoT
Computes summary metrics and aggregations for building datasets, including counts and height data.