shapely-compute

Boolean operations on polygons using Shapely involve applying intersections, unions, and differences to geometric objects. The Skill executes these set operations and outputs the resulting geometry in JSON format with WKT and bounds.

Checking if a point lies within a polygon boundary utilizes spatial predicates in computational geometry. The Skill tests relationships like contains, intersects, and within, returning the boolean results directly from the Shapely library.

Spatial measurements for geometric shapes in Python include calculating area, length, distance, and centroids. The Skill processes input coordinates or WKT to compute these measurements and returns them within a structured JSON response.

Handling invalid geometries during spatial analysis requires validation checks before processing. The Skill checks geometric objects for validity and applies fixes to ensure accurate computational geometry operations.

This computational geometry Skill supports input via WKT and coordinate strings. It parses these formats to create points, lines, and polygons, then outputs the geometric results in JSON format with WKT and type information.

Transformations applied to geometric objects in Python include translate, rotate, and scale operations. The Skill uses Shapely to execute these spatial transformations and outputs the modified geometry with updated bounds.