Spatial Distribution and Drivers of 342 Traditional Villages in Guangxi, China

Main datasets and sources from figshare by Jianmei Tan, last updated April 2026. The 9.5 KB XLS file contains data on 342 nationally recognized traditional villages in China's Guangxi Zhuang Autonomous Region. The research analyzes spatial distribution patterns and driving factors using geographical detectors and spatial statistics.

Use Cases

• Modeling spatial clustering patterns based on the nearest neighbor index and kernel density estimation mentioned in the description
• Identifying regional imbalance in village distribution using the imbalance index described
• Analyzing driving factors for village location based on the integrated framework of natural, economic, and socio-cultural forces
• Informing spatially differentiated protection strategies for traditional settlements as outlined in the study

Strengths

• Focuses on a specific, enumerated set of 342 nationally recognized traditional villages
• Applies a documented integrated methodological framework including NNI, KDE, and OPGD
• Data is openly licensed under CC-BY-4.0

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Dataset is very small at 9.5 KB, indicating limited scope or highly aggregated data

Provenance

Source

Jianmei Tan via figshare

Collection Method

Adopts an integrated methodological framework comprising spatial statistics and geographical detectors for analysis

Time Range

null

Freshness

Last updated 2026-04 21 17:27:20; freshness should be verified

Geography

Guangxi Zhuang Autonomous Region, China