A Python library for encoding spatial data into the TopoJSON format, reducing file sizes through topology computation and simplification.
Topojson is a Python library that encodes spatial data into the TopoJSON format, a compact representation that reduces file sizes by computing topology and simplifying geometries. It solves the problem of large spatial datasets by eliminating redundant coordinates and enabling efficient storage and transmission for web mapping and analysis.
Geospatial developers, data scientists, and GIS professionals working with Python who need to optimize spatial data for web visualization, reduce storage costs, or improve data transfer performance.
Developers choose Topojson for its ability to drastically reduce spatial data size through topological encoding and simplification while preserving relationships between features, offering a Python-native alternative to JavaScript-based TopoJSON tools.
Encode spatial data as topology in Python! 🌍 https://mattijn.github.io/topojson
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By computing topology and encoding coordinates as integers, it reduces file sizes by orders of magnitude, as emphasized in the README for efficient web transmission.
Simplifies shared borders collectively to maintain adjacency between features, preventing overlaps in simplified data, which is a key feature highlighted in the philosophy.
Works with various spatial objects from GeoPandas, Shapely, and GeoJSON sources, making it flexible for different data workflows as stated in the key features.
Optional dependency on altair allows for direct visualization of TopoJSON output, improving the mapping experience, as noted in the installation section.
The README warns that epsilon values differ between algorithms (area-based for vw, distance-based for rdp), requiring careful tuning and geospatial knowledge, which can be confusing.
Has hard dependencies on numpy and shapely, and optional ones for full features, complicating installation and increasing project bloat, as listed in the installation section.
Documentation is split between a separate site and a notebook, potentially making it harder for users to access comprehensive information in one place, as referenced in the README.