How do I use JSTS with Node.js?

Install via npm install jsts, then import individual ES modules. Be aware of Node.js ESM interoperability requirements, as JSTS is delivered only as ES modules, which may need configuration for CommonJS environments.

JSTS vs Turf.js for geometric operations?

JSTS is a direct port of JTS with a Java-like API and OGC compliance, ideal for JTS familiarity or standards-heavy projects. Turf.js is a native JavaScript library with a modern API, better for lightweight, JS-centric workflows without Java baggage.

How to avoid TopologyException errors in JSTS?

Reduce precision in input geometries using GeometryPrecisionReducer and ensure they are valid per OGC standards. This minimizes calculation failures due to floating-point issues, as mentioned in the caveats.

Does JSTS support 3D geometries?

No, JSTS is based on the 2D Simple Features Specification, so it only handles 2D geometries. For 3D operations, consider other libraries or server-side solutions.

How to perform a buffer operation on a GeoJSON geometry with JSTS?

Use the GeoJSONReader to parse the geometry, then access the buffer method from the appropriate operation class, since shortcut methods are not available in all builds without monkey patching.

Can I use JSTS without a bundler in modern browsers?

Yes, by including the ES6 build from a CDN as a script tag, but for module-based projects, a bundler is recommended. The ES5 build is also available for broader browser compatibility.

Open-Awesome

JSTS

NOASSERTIONJavaScript2.12.1

A JavaScript library for processing and analyzing 2D spatial geometries, ported from the Java Topology Suite (JTS).

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What is JSTS?

JSTS is a JavaScript library that provides spatial predicates and functions for processing 2D geometries, conforming to the Open Geospatial Consortium's Simple Features Specification. It is a direct port of the Java Topology Suite (JTS), enabling complex geometric operations like buffering, intersection, and union in web and Node.js applications.

Target Audience

Developers building web mapping applications, GIS tools, or any software requiring advanced 2D geometric analysis and processing in JavaScript environments.

Value Proposition

JSTS offers a comprehensive, standards-compliant geometry library with a proven API from JTS, eliminating the need for server-side geometric processing and enabling full client-side spatial analysis.

Overview

JavaScript Topology Suite

Use Cases

Best For

Performing client-side spatial analysis in web mapping applications
Processing and validating GeoJSON geometries according to OGC standards
Implementing geometric operations like buffering, intersection, and simplification in JavaScript
Building GIS tools that require robust topology functions without Java dependencies
Creating custom spatial queries and predicates for 2D data
Porting JTS-based Java applications to JavaScript/Node.js environments

Not Ideal For

Projects requiring 3D geometric operations or volumetric spatial analysis
Teams seeking a lightweight, JavaScript-native geometry library with modern syntax and shortcuts
Applications with real-time performance constraints on large datasets where precision handling adds overhead

Pros & Cons

Pros

Standards Compliance

Conforms to the OGC Simple Features Specification, ensuring interoperability with GIS systems and support for formats like WKT and GeoJSON, as highlighted in the README.

Cross-Platform Versatility

Works in browsers via ES5/ES6 builds and in Node.js as ES modules, making it suitable for both web mapping and server-side applications without Java dependencies.

Robust Geometry Processing

Provides comprehensive spatial predicates and operations like buffering and union, directly ported from the battle-tested JTS library, enabling complex 2D analysis.

Proven API Design

Preserves the JTS API, reducing the learning curve for developers familiar with JTS and offering a reliable, community-vetted interface for geometric operations.

Cons

API Translation Quirks

Java overloading issues, such as in GeometryFactory.createMultiPoint, can cause unexpected behavior, and shortcut methods like .buffer are missing unless using the monkey-patched ES5 bundle.

Precision Handling Complexities

TopologyExceptions may be thrown due to floating-point precision issues, requiring additional steps like GeometryPrecisionReducer and strict input validation, which adds setup complexity.

Bundler Dependency

Using ES6 modules requires a bundler like Rollup for most environments, complicating setup compared to simple script tag inclusion, as noted in the README's caveats.

Frequently Asked Questions

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