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2 Repos

Awesome GitHub RepositoriesGeospatial Feature Statistics

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.

Explore 2 awesome GitHub repositories matching data & databases · Geospatial Feature Statistics. Refine with filters or upvote what's useful.

Awesome Geospatial Feature Statistics GitHub Repositories

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  • mbloch/mapshaperAvatar von mbloch

    mbloch/mapshaper

    4,133Auf GitHub ansehen↗

    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.

    JavaScript
    Auf GitHub ansehen↗4,133
  • opengeos/leafmapAvatar von opengeos

    opengeos/leafmap

    3,717Auf GitHub ansehen↗

    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.

    Pythondata-sciencedatavizfolium
    Auf GitHub ansehen↗3,717
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