OPGD Single-Factor Detection Results for 342 Traditional Villages in Guangxi

OPGD single-factor detection results contain data from a spatial analysis of 342 nationally recognized traditional villages in China's Guangxi Zhuang Autonomous Region. The dataset was created by Jianmei Tan and last updated on April 21, 2026. It is a 5.5 KB XLS file, suggesting a small, focused set of analytical outputs.

Use Cases

• Analyzing spatial clustering patterns of traditional villages based on the nearest neighbor index and kernel density estimation mentioned in the description
• Identifying driving factors for village distribution based on the integrated methodological framework of natural, economic, and socio-cultural forces
• Informing spatially differentiated protection policies based on the study's proposed four-component conservation framework
• Comparing regional influencing factors between Guangxi and surrounding areas based on the OPGD analysis

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 is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• The 5.5 KB file size indicates a very limited scope, likely containing summary results rather than raw village data

Provenance

Source

figshare, authored by Jianmei Tan

Collection Method

Analysis using nearest neighbor index, imbalance index, kernel density estimation, and optimal parameters-based geographical detector (OPGD)

Time Range

null

Freshness

Last updated 2026-04-21 17:27:26; freshness should be verified

Geography

Guangxi Zhuang Autonomous Region, China