Supplementary Files for a Graph-Based Analysis of Spatial Perception in Small-Scale Parks

464 visitor surveys from four Chinese community parks underpin a study applying graph theory to analyze spatial perception. The research developed a Park Functional Morphology Graph Analysis (PFMGA) method to quantify relationships between objective park morphology and human activities. Supplementary files for the article are provided by Siwen Wang under a CC-BY-NC-ND 4.0 license.

Use Cases

• Testing graph centrality metrics against human perception data based on the described survey.
• Developing standardized methods for quantifying park morphology based on the proposed PFMGA approach.
• Analyzing the bridging role of functional zones in small-scale parks based on the significant finding for betweenness centrality.

Strengths

• Includes data from a substantial survey of 464 park visitors.
• Principal Component Analysis first component explained 91.1% of variance, indicating a strong single dimension among metrics.
• The study provides a specific, novel method (PFMGA) for a previously under-quantified domain.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data is confined to four Chinese community parks, which may limit geographic generalizability.

Provenance

Source

Siwen Wang via figshare.

Collection Method

Survey data collection and graph-based analysis (PFMGA).

Time Range

null

Freshness

Last updated 2026-04-27 13:47:06; freshness should be verified.

Geography

Four Chinese community parks.