Experimental Data for Accelerating Point-in-Polygon Queries via Delaunay Graphs

4.7 GB of experimental data supporting a computational geometry paper on accelerating point-in-polygon queries. The dataset includes index and query polygons, published by zhengyang xu under a CC-BY-4.0 license and last updated on May 24, 2026.

Use Cases

• Benchmarking point-in-polygon query algorithms based on the provided index and query polygons.
• Testing methods for identifying boundary points within Delaunay graphs.
• Developing new spatial indexing techniques using the included experimental data.

Strengths

• Dataset size of 4.7 GB suggests a substantial volume of experimental data.
• Published under the permissive CC-BY-4.0 license, allowing for broad reuse.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

zhengyang xu via figshare

Collection Method

Likely generated for computational geometry experiments.

Freshness

Last updated 2026-05-24 06:52:29; freshness should be verified.