Children's Playground Location Choices by Age and Gender in Two Primary Schools

Observational data from two primary schools examines how playground design and visual depth influence children's spatial use. The dataset includes movement trajectories analyzed via heatmaps and mixed-effects regression models incorporating a Visual Mean Depth metric. The study was authored by Mine Sak-Acur and last updated on 2026-05-13.

Use Cases

• Modeling the impact of visual centrality on children's location choices based on the Visual Mean Depth metric.
• Analyzing gender and age disparities in playground use across different school layouts.
• Comparing spatial equity in integrated versus separated ball game field designs.
• Training predictive models for playground utilization patterns using movement trajectory data.

Strengths

• Data is derived from a novel ten-second movement trajectory method capturing fluid playground dynamics.
• Analysis includes a specific metric, Visual Mean Depth, and its significant predictive power is reported.
• Comparative design includes two distinct primary school layouts (integrated vs. separated ball game fields).

Limitations

• Dataset size is small at 687.7 KB, indicating limited scope.
• Row count and column-level documentation are unknown, requiring manual inspection after download.
• Data is from only two schools, which may limit generalizability.

Provenance

Source

figshare

Collection Method

Playground observations and analysis of movement trajectories.

Freshness

Last updated 2026-05-13 04:45:13; freshness should be verified.

Geography

Two primary schools (locations unspecified).