A little library for mapbox-gl that provides a tiled approach to consuming flatgeobuf files.
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Updated
Jun 9, 2023 - JavaScript
A little library for mapbox-gl that provides a tiled approach to consuming flatgeobuf files.
Flatgeobuf binary geospatial encoding Go library
A lightweight frontend app using transformers.js showcasing the use of semantic similarity for geospatial applications such as geosocial media. Building on Overturempas Places, dynamically loading data from a singe 9Gb flatgeobuf file.
FlatGeobuf (A performant binary encoding for geographic data based on flatbuffers) implementation in Julia
🔍 Comparative analysis on storage, number of files, and spatial data reading across different formats. 📊 🌟
Static, citable disaster-risk explainer for Japan's PLATEAU open data. Building-level hazard zones rendered with strict three-state honesty (covered=false is never green).
堪舆 (Kanyu) — AI-native geospatial operating system in Rust. GeoArrow memory model, MCP neural interface, self-evolving WASM genes.
A simple web-based app for viewing and inspecting flatgeobuf files (.fgb).
Fast FlatGeobuf to Vector Tiles on the fly - stateless, as middlelayer or slim tile server.
全国鉄道運行本数データ(FlatGeobuf 形式及び PMTiles 形式)
Python application for converting engineering CAD drawings in DXF/DWG format into GIS vector datasets.
FlatGeobuf Overviews (FGBO): a scale-optimized, fully fgb-compatible vector format — precomputed simplification, overview levels, and segments for fast on-demand MVT tiles from one static file. Rust encoder/decoder, CLI, tile server, and wasm browser reader.
SDK for the MapLark OpenStreetMap Features API to get real world map data in Python
A production-focused operational reference for geospatial data lifecycle management, cold-storage optimization, format conversion, and compliance automation — GeoParquet/FlatGeobuf, tiered storage, compression tuning, retention, and cost modeling.
Matrix routing static webpage builder with your data. See link for output example:
A practical, engineering-first playbook for compressing, converting, and querying geospatial data at cloud scale — GeoParquet, ZSTD tuning, spatial indexing, migration pipelines, and query engines like DuckDB, Athena, and Trino.
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