How do I parse a GeoJSON file with go-geom?

Use the encoding/geojson package to decode GeoJSON data into geometry types. For example, call geojson.Unmarshal on a JSON byte slice to convert it to a geom.T geometry, as shown in the package documentation.

What's the difference between go-geom and the orb geometry library?

go-geom focuses on efficiency and database integration with cache-friendly structures and 3D support, while orb is simpler and more general-purpose for 2D operations. go-geom is better for performance-critical geospatial backends, whereas orb might suit rapid prototyping.

Does go-geom support 3D distance calculations?

Yes, the xyz package provides 3D geometry functions including distance calculations. You can use functions like xyz.Distance to compute distances between 3D points, as detailed in the topology functions section.

How do I enable security features in go-geom to prevent memory attacks?

Set a positive value for wkbcommon.MaxGeometryElements to limit the number of elements in decoded geometries. This prevents allocation of excessive memory from malformed WKB or EWKB inputs, but it's not enabled by default.

Can I use go-geom to encode geometry to KML format?

Yes, go-geom supports encoding to KML through the encoding/kml package. However, decoding KML is not supported, so it's a one-way process for this format, which might be a limitation for some workflows.

Is go-geom good for building a web mapping application?

go-geom is excellent for backend geometry processing and database integration, but you'll need additional libraries for map rendering, tile serving, or frontend visualization. It's a solid foundation but not a complete solution out-of-the-box.

go-geom — Go Library for Geospatial Geometry

What is go-geom?

go-geom is a Go library that implements efficient geometry types following OpenGeo Consortium standards for geospatial applications. It provides comprehensive support for 2D and 3D geometries, encoding/decoding of common geospatial formats, and database integration capabilities. The library solves the problem of handling spatial data efficiently in Go applications with proper type safety and performance optimizations.

Target Audience

Go developers building geospatial applications, GIS systems, or location-based services that require efficient geometry manipulation and database integration. It's particularly useful for those working with PostGIS, GeoJSON, or other spatial data formats.

Value Proposition

Developers choose go-geom for its efficient cache-friendly implementation, comprehensive format support, and seamless database integration. Unlike generic geometry libraries, it's specifically optimized for geospatial use cases with built-in protection against malicious inputs and support for industry standards.

Package geom implements efficient geometry types for geospatial applications.

Use Cases

Best For

Building Go-based GIS applications that require efficient geometry processing
Integrating spatial data with databases using standard SQL interfaces
Parsing and generating GeoJSON, KML, WKB, and other geospatial formats
Implementing 2D and 3D topology functions for spatial calculations
Developing location-based services that handle complex geometry operations
Creating geospatial data pipelines with format conversion capabilities

Not Ideal For

Projects not using the Go programming language
Applications requiring integrated map rendering or advanced GIS features like spatial joins
Teams looking for a complete geospatial API with built-in services and minimal setup

Pros & Cons

Pros

Efficient Internal Representation

Uses cache-friendly data structures optimized for performance, as detailed in the INTERNALS.md documentation linked in the README.

Broad Format Compatibility

Supports encoding and decoding of multiple standards like GeoJSON, WKB, and EWKB, with dedicated packages listed for each format in the README.

Seamless Database Integration

Implements sql.Scanner and driver.Value interfaces, enabling direct use with databases such as PostGIS, as demonstrated in the provided examples.

Multi-dimensional Geometry Support

Handles 2D, 3D, measures, and extra dimensions, making it versatile for various geospatial applications, as highlighted in the key features.

Cons

Incomplete Format Support

KML and WKT are encoding only, lacking decoding capabilities, which limits full interoperability with these formats as admitted in the README.

Manual Security Setup

Protection against malicious inputs is disabled by default, requiring explicit configuration of wkbcommon.MaxGeometryElements to activate, which could be overlooked in deployment.

Narrow Focus

Primarily provides geometry types and basic functions, missing advanced GIS features like spatial indexing or visualization tools, necessitating additional libraries for full applications.

Frequently Asked Questions

What is go-geom?

Target Audience

Value Proposition

Use Cases

Best For

Building Go-based GIS applications that require efficient geometry processing
Integrating spatial data with databases using standard SQL interfaces
Parsing and generating GeoJSON, KML, WKB, and other geospatial formats
Implementing 2D and 3D topology functions for spatial calculations
Developing location-based services that handle complex geometry operations
Creating geospatial data pipelines with format conversion capabilities

Not Ideal For

Projects not using the Go programming language
Applications requiring integrated map rendering or advanced GIS features like spatial joins
Teams looking for a complete geospatial API with built-in services and minimal setup

Pros & Cons

Pros

Efficient Internal Representation

Uses cache-friendly data structures optimized for performance, as detailed in the INTERNALS.md documentation linked in the README.

Broad Format Compatibility

Supports encoding and decoding of multiple standards like GeoJSON, WKB, and EWKB, with dedicated packages listed for each format in the README.

Seamless Database Integration

Implements sql.Scanner and driver.Value interfaces, enabling direct use with databases such as PostGIS, as demonstrated in the provided examples.

Multi-dimensional Geometry Support

Handles 2D, 3D, measures, and extra dimensions, making it versatile for various geospatial applications, as highlighted in the key features.

Cons

Incomplete Format Support

KML and WKT are encoding only, lacking decoding capabilities, which limits full interoperability with these formats as admitted in the README.

Manual Security Setup

Protection against malicious inputs is disabled by default, requiring explicit configuration of wkbcommon.MaxGeometryElements to activate, which could be overlooked in deployment.

Narrow Focus

Primarily provides geometry types and basic functions, missing advanced GIS features like spatial indexing or visualization tools, necessitating additional libraries for full applications.

Frequently Asked Questions

go-geom

What is go-geom?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?

go-geom

What is go-geom?

Overview

Use Cases

Best For

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions

Related Projects

Found a gem we're missing?