Spatiotemporal Dynamics of Chinese Tourists to
Lake Baikal Based on Big Data
Participated in a Sino-Russian geoscience field study at Lake Baikal, conducting research on Chinese tourists' spatial-temporal distribution via big data crawling, text analytics, and GIS mapping to assess tourism capacity and development needs.
Documents:
Research Methodologies
- Big Data Analysis: Web crawling, text mining
- GIS Visualization: Spatial-temporal mapping and analysis
Technology Stack
- Python, R, SQL
- Pandas, NumPy, GIS platforms
Data Sources
- Major tourism platforms (reviews, blogs)
Key Findings
- Chinese tourist numbers have grown significantly
- Irkutsk is a crucial transit hub
- Infrastructure lags behind demand
- Need to balance development with environmental protection