Does Shiny.Spatial require SpatiaLite or NetTopologySuite?

No, Shiny.Spatial is dependency-free and relies only on Microsoft.Data.Sqlite. It uses custom C# algorithms for query refinement and geometry operations.

Which coordinate systems are supported?

The library supports both WGS84 (for real-world GPS longitude/latitude) using Haversine distance and Cartesian (for flat/projected planes) using Euclidean distance.

Can I perform geofencing in the background on mobile devices?

Yes, using the Shiny.Spatial.Geofencing package, you can implement background GPS-driven geofence monitoring for both iOS and Android.

Is the library compatible with .NET AOT and trimming?

Yes, Shiny.Spatial is specifically designed to be trimmable and AOT-compatible, making it suitable for high-performance .NET 10+ applications.

How does the two-pass query pipeline work?

It first uses the SQLite R*Tree index to quickly eliminate non-matching candidates via bounding boxes, then uses precise C# geometry algorithms to verify the remaining results.

Shiny Spatial Geospatial Database

Name: Shiny Spatial Geospatial Database
Author: shinyorg

byshinyorg

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データベース管理

Builds high-performance, dependency-free .NET geospatial applications using SQLite R*Tree indexing and custom C# geometry refinement.

Shiny.Spatial is a specialized .NET library designed for efficient geospatial data management without the heavy dependencies of SpatiaLite or NetTopologySuite. It utilizes a unique two-pass query pipeline that combines SQLite's R*Tree virtual tables for rapid bounding-box filtering with custom C# algorithms for precise geometry calculations. This skill enables developers to implement complex spatial queries, manage geofencing on mobile platforms, and handle WKB serialization within AOT-compatible and trimmable .NET environments, making it ideal for cross-platform mobile and high-performance cloud applications.

主な機能

01Two-pass spatial query pipeline using R*Tree and C# refinement

02Native iOS and Android geofencing support with background monitoring

03Full AOT compatibility and trimmability for modern .NET deployments

041 GitHub stars

05Standardized WKB serialization for all common geometry types

06Fluent query builder for combined spatial and property-based filtering

ユースケース

01Integrating pre-built US and Canadian geographic databases into .NET applications

02Developing location-aware mobile applications with geofence entry and exit triggers

03Building lightweight GIS systems that require fast spatial indexing without external native dependencies

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add shinyorg/skills shiny-spatial

For use in Claude.ai and ChatGPT