Spatial Distribution and Driving Factors of 342 Traditional Villages in Guangxi, China

A 5.5 KB dataset analyzing the spatial distribution patterns and driving factors of 342 nationally recognized traditional villages in China's Guangxi Zhuang Autonomous Region. The dataset, authored by Jianmei Tan and last updated in April 2026, employs methods including nearest neighbor index, kernel density estimation, and geographical detector analysis. It outlines a conservation framework for traditional settlements in ethnic minority regions.

Use Cases

• Identifying spatial clustering patterns of traditional villages based on nearest neighbor and kernel density analysis.
• Analyzing regional imbalance in cultural heritage distribution using the imbalance index.
• Modeling the influence of natural, economic, and socio-cultural driving factors on village locations using geographical detector methods.
• Informing spatially differentiated protection strategies for traditional settlements.

Strengths

• Focuses on a specific, enumerated set of 342 nationally recognized traditional villages.
• Applies an integrated methodological framework including NNI, imbalance index, KDE, and OPGD as described.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• Row count and column-level documentation are unknown; field semantics must be inferred after download.
• The dataset is very small at 5.5 KB, indicating limited scope or highly aggregated data.
• Description metadata is limited; actual data quality and granularity require manual inspection.

Provenance

Source

figshare, authored by Jianmei Tan.

Collection Method

Analysis likely derived from spatial and statistical analysis of village locations and regional factors.

Time Range

null

Freshness

Last updated 2026-04-21 17:27:23; freshness should be verified.

Geography

Guangxi Zhuang Autonomous Region, China.